publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

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Showing … publications

2027

  1. DGC-Net: A Depth-Geometric Conditioning Network for Projection-Supervised OCTA Segmentation
    Lucas Santiago, Bisheng Wang, Jaime S Cardoso, and Tomas Ribeiro
    In Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV), 2027
  2. P-IBISA: Logit-Free Visual Explanations via Pairwise Embedding Alignment
    Bruno Coelho, Mohammad Hossein Zolfagharnasab, Isabel Rio-Torto, Tiago Filipe Sousa Gonçalves, and Jaime S. Cardoso
    In Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV), 2027

2026

  1. A sparse model for ordinal regression
    Jaime S. Cardoso
    Electronics (section: Artificial Intelligence) (MDPI), 2026
  2. Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma
    Francesca Fati, Felipe Coutinho, Marika Reinius, Marina Rosanu, Gabriel Funingana, Luigi De Vitis, Gabriella Schivardi, Hannah Clayton, Alice Traversa, Zeyu Gao, and 18 more authors
    International Journal of Computer Assisted Radiology and Surgery, 2026
  3. Depth Enhanced Cascaded Framework for OCTA Segmentation with Structure- and Connectivity-Aware Losses
    Bisheng Wang, Yuexuan Wang, Jaime S. Cardoso, and Lin Wu
    IEEE Open Journal of Signal Processing, 2026
  4. Automatic Prediction and Evaluation of Aesthetic Outcomes in Plastic and Oncological Surgery: A Systematic Review
    Helena Montenegro, Mohammad Hossein Zolfagharnasab, Fabio Teixeira, Goncalo Pinto, Joana Santos, Pedro Ferreira, Eduard-Alexandru Bonci, Carlos Mavioso, Maria J. Cardoso, and Jaime S. Cardoso
    Archives of Computational Methods in Engineering (Springer), 2026
  5. Information bottleneck for attribution applied to object detection
    Bruno Coelho and Jaime S. Cardoso
    IEEE Transactions on Artificial Intelligence (TAI), 2026
  6. Evaluating 2D vs. 3D Representations and Regions of Interest for MRI-Based Breast Cancer Characterization
    Nuno Miguel Lopes Silva, Pedro Vitor Lima, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the Workshop Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics in the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026
  7. K-CLUE: A Segmentation-to-Clustering Framework for Ki67 Cell Typing
    Ana Beatriz Vieira, Sara P. Oliveira, Jaime S. Cardoso, and Arlindo L. Oliveira
    In Proceedings of the Workshop on Biomarker-Driven Medical Vision Intelligence (BD-MedVis) in the 37th British Machine Vision Conference (BMVC), 2026
  8. Object Detection as a Differentiable Interpretability Bottleneck
    Ricardo Cruz and Jaime S. Cardoso
    In Proceedings of the International Conference on Artificial Intelligence (EPIA), 2026
  9. Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach
    Bruno Coelho and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Computer Based Medical Systems (CBMS), 2026
  10. Understanding Chest X-ray Vision Representations with DeViL
    Isabel Rio-Torto, Bruno Coelho, Jaime S. Cardoso, and Luis F. Teixeira
    In Proceedings of the IEEE International Symposium on Computer Based Medical Systems (CBMS), 2026
  11. From Biological Priors to Architectural Constraints: Deep Multitask Learning for MRI-based Breast Cancer Biomarker Prediction
    Pedro Vitor Lima, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026
  12. From Post-Hoc to Integrated Calibration: Bilevel Training with Doubly Kernelized ECE
    Joao Nunes, Felipe Coutinho, Ines Prata Machado, Diana Montezuma, Domingos Oliveira, Tania Pereira, and Jaime S. Cardoso
    In Proceedings of International Conference on Pattern Recognition (ICPR), 2026
  13. A Constrained DBSCAN Algorithm for Insect Facility Location under Data-Scarce Conditions
    Safa Vakili, Maria Joao Santos, Sara Martins, and Jaime S. Cardoso
    In Proceedings of the International Conference on Optimization, Learning Algorithms and Applications (OLA2), 2026
  14. Personalized Cell Segmentation: Benchmark and Framework for Reference-Guided Cell Type Segmentation
    Bisheng Wang, Jaime S. Cardoso, and Lin Wu
    In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
  15. Spiking Neural Networks for Ordinal Regression
    Wenwu Ma, Ana Filipa Sequeira, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
  16. Knowledge Distillation for Lightweight Models in Wildfire Segmentation
    Rafael Maia, Leonardo Ferreira, Mansur Mustafin, Eduarda Caldeira, Ana Filipa Sequeira, Helder Oliveira, and Jaime S. Cardoso
    In Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2026
  17. Segmentation-Based Image Manipulation for Interactive Counterfactual Explanations in Medical Image Analysis
    Helena Montenegro and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2026
  18. Preserving Ordinality in Diabetic Retinopathy Grading through a Distribution-Based Loss Function
    Lena Stelter, Valentina Corbetta, Soufyan Lakbir, Regina Beets-Tan, Ricardo P. M. Cruz, Jaime S. Cardoso, and Wilson Silva
    In Proceedings of the Northern Lights Deep Learning Conference (NLDL), 2026

2025

  1. A Literature Review on Example-Based Explanations in Medical Image Analysis
    Helena Montenegro and Jaime S. Cardoso
    Journal of Healthcare Informatics Research (Springer), 2025
  2. CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
    Cristiano Patricio, Isabel Rio-Torto, Jaime S. Cardoso, Luis F. Teixeira, and Joao C. Neves
    Computers in Biology and Medicine (Elsevier), 2025
  3. End-to-end Occluded Person Re-Identification with Artificial Occlusion Generation
    Leonardo Capozzi, Jaime S. Cardoso, and Ana Rebelo
    IEEE Access, 2025
  4. BreLoAI - A Scalable Web Application for Breast Cancer Locoregional Treatment Approaches
    Miguel M. Romariz, Tiago F. Goncalves, Eduard Bonci, Helder Oliveira, Carlos Mavioso, Maria J. Cardoso, and Jaime S. Cardoso
    Cureus Journal Of Computer Science, 2025
  5. Leveraging Cold Diffusion for the Decomposition of Identically Distributed Superimposed Images
    Helena Montenegro and Jaime S. Cardoso
    IEEE Open Journal of Signal Processing, 2025
  6. H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking
    Pascal Klockner, Jose Teixeira, Diana Montezuma, Joao Fraga, Hugo M. Horlings, Jaime S. Cardoso, and Sara P. Oliveira
    npj Digital Medicine (Nature), 2025
  7. Neonatal EEG classification using a compact support separable kernel time-frequency distribution and attention-based CNN
    Arezki Larbi, Mansour Abed, Jaime S. Cardoso, and Abdeljalil Ouahabi
    Biomedical Signal Processing and Control (Elsevier), 2025
  8. Bridging Domain Gaps in Computational Pathology: A Comparative Study of Adaptation Strategies
    Joao D. Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, Inti Zlobec, Isabel Macedo Pinto, and Jaime S. Cardoso
    MDPI Sensors, 2025
  9. Enhancing Weakly-Supervised Video Anomaly Detection with Temporal Constraints
    Francisco Caetano, Pedro Carvalho, Christina Mastralexi, and Jaime S. Cardoso
    IEEE Access, 2025
  10. Information Bottleneck with Input Sampling for Attribution
    Bruno Coelho and Jaime S. Cardoso
    Neurocomputing (Elsevier), 2025
  11. Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
    Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis F. Gomez, Aythami Morales, Julian Fierrez, and 49 more authors
    Information Fusion (Elsevier), 2025
  12. Unimodal Distributions for Ordinal Regression
    Jaime S. Cardoso, Tome Albuquerque, and Ricardo P. M. Cruz
    IEEE Transactions on Artificial Intelligence (TAI), 2025
  13. Learning Ordinality in Semantic Segmentation
    Ricardo P. M. Cruz, Rafael Cristino, and Jaime S. Cardoso
    IEEE Access, 2025
  14. CNN Explanation Methods for Ordinal Regression Tasks
    Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro A. Gutiérrez, and César Hervás-Martínez
    Neurocomputing (Elsevier), 2025
  15. A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
    Joao Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, and Jaime S. Cardoso
    Medical Image Analysis (Elsevier), 2025
  16. Fusion Strategies for Breast Cancer Characterization Using Traditional and Deep Learning Models
    Pedro Vitor Lima, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the 25th IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2025
  17. CountPath: Automating Fragment Counting in Digital Pathology
    Ana Beatriz Vieira, Maria Valente, Tome Albuquerque, Diana Montezuma, Liliana Ribeiro, Domingos Oliveira, Joao Monteiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso, and 1 more author
    In Proceedings of the EEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2025
  18. Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity
    Mohammad Zolfagharnasab, Tiago Goncalves, Pedro Ferreira, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI), 2025
  19. Towards Utilizing Robust Radiance Fields For 3D Reconstruction of Breast Aesthetics
    Goncalo Pinto, Mohammad Zolfagharnasab, Luís Teixeira, Helena Cruz, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI), 2025
  20. Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach
    Pedro Ferreira, Mohammad Zolfagharnasab, Tiago Goncalves, Eduard Bonci, Carlos Mavioso, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI), 2025
  21. SiameseOrdinalCLIP: A Language-Guided Siamese Network for the Aesthetic Evaluation of Breast Cancer Locoregional Treatment
    Fabio Teixeira, Helena Montenegro, Eduard Bonci, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI), 2025
  22. Anatomically and Clinically Informed Deep Generative Model for Breast Surgery Outcome Prediction
    Joana Santos, Helena Montenegro, Eduard Bonci, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI), 2025
  23. Disentanglement and Assessment of Shortcuts on Ophthalmological Retinal Imaging Exams
    Leonor Fernandes, Tiago Goncalves, João Matos, Luis Nakayama, and Jaime S. Cardoso
    In Proceedings of the Fairness of AI in Medical Imaging Workshop (FAIMI) (in MICCAI), 2025
  24. GANs vs. Diffusion Models for virtual staining with the HER2match dataset
    Pascal Klockner, Jose Teixeira, Diana Felizardo, Jaime S. Cardoso, Hugo Horlings, and Sara Oliveira
    In Proceedings of the 5th Deep Generative Models Workshop (DGM4MICCAI)(in MICCAI), 2025
  25. Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
    Jose Teixeira, Pascal Klockner, Diana Felizardo, Joao Fraga, Melis Cesur, Hugo Horlings, Jaime S. Cardoso, and Sara Oliveira
    In Proceedings of the 5th Deep Generative Models Workshop (DGM4MICCAI)(in MICCAI), 2025
  26. Intrinsically-Interpretable Siamese Networks for Identity Recognition
    Marco Pinto, Helena Montenegro, and Jaime S. Cardoso
    In Proceedings of the 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIOM), as part of the ICCV conference, 2025
  27. Towards an Explainable Retrieval Approach for Predicting Post-Surgical Aesthetic Outcomes in Breast Cancer
    Pedro Ferreira, Mohammad Zolfagharnasab, Tiago Gonçalves, Carlos Mavioso, Eduard Bonci, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the IEEE 8th Portuguese Meeting on Bioengineering (ENBENG), 2025
  28. Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability
    Leonardo Capozzi, Leonardo Ferreira, Tiago Gonçalves, Ana Rebelo, Jaime S. Cardoso, and Ana F. Sequeira
    In Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2025
  29. Beyond Accuracy: The Role of Calibration in Computational Pathology
    Joao Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, Inti Zlobec, and Jaime S. Cardoso
    In Proceedings of Robust AI in Healthcare Workshop in the International Joint Conference on Neural Networks (IJCNN), 2025
  30. Conditional Generative Adversarial Network for Predicting the Aesthetic Outcomes of Breast Cancer Treatment
    Helena Montenegro, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025
  31. Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis
    Valentina Corbetta, Regina Beets-Tan, Jaime S. Cardoso, and Wilson Silva
    In Proceedings of the Medical Imaging with Deep Learning conference (MIDL), 2025
  32. Enhancing Forensic Pathology: AI and Computational Histology in Coronary Autopsy Analysis
    Bruno Coelho al. and Jaime S. Cardoso
    2025

2024

  1. Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Narrative Review
    Luis Nakayama, Joao Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Roger Mwavu, Claudia Ju-Yi Ji Hung, Alvina Pauline Dy Santiago, Warachaya Phanphruk, Jaime S. Cardoso, and 1 more author
    PLOS Digital Health, 2024
  2. Space Imaging Point Source Detection and Characterization
    Francisco Ribeiro, Paulo Garcia, Miguel Silva, and Jaime S. Cardoso
    IEEE Access, 2024
  3. Anonymizing medical case-based explanations through disentanglement
    Helena Montenegro and Jaime S. Cardoso
    Medical Image Analysis (Elsevier), 2024
  4. Weather and Meteorological Optical Range Classification for Autonomous Driving
    Celso Pereira, Ricardo Cruz, Joao Fernandes, Joao Pinto, and Jaime S. Cardoso
    IEEE Transactions on Intelligent Vehicles, 2024
  5. BOLD: Blood-gas and Oximetry Linked Dataset
    Joao Matos, Tristan Struja, Jack Gallifant, Luis Nakayama, Marie-Laure Charpignon, Xiaoli Liu, Nicoleta Economou-Zavlanos, Jaime S. Cardoso, Kimberly Johnson, Nrupen Bhavsar, and 3 more authors
    Scientific Data (Nature), 2024
  6. Disentangling Morphed Identities for Face Morphing Detection
    Eduarda Caldeira, Pedro Neto, Tiago Goncalves, Naser Damer, Filipa Sequeira, and Jaime S. Cardoso
    Science Talks (Elsevier), 2024
  7. An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
    Pedro Neto, Diana Montezuma, Sara Oliveira, Domingos Oliveira, Joao Fraga, Ana Monteiro, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Stefan Reinhard, and 3 more authors
    npj Precision Oncology (Nature), 2024
  8. CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
    Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, and 26 more authors
    Medical Image Analysis (Elsevier), 2024
  9. Phasing segmented telescopes via deep learning methods: application to a deployable CubeSat
    Maxime Dumont, Carlos Correia, Jean-Francois Sauvage, Noah Schwartz, Morgan Gray, and Jaime S. Cardoso
    JOSA A, 2024
  10. Explaining bounding boxes in deep object detectors using post-hoc methods for autonomous driving systems
    Caio Macedo Nogueira, Luis Fernandes, Joao Nuno Duarte Fernandes, and Jaime S. Cardoso
    MDPI Sensors, 2024
  11. Classification of pulmonary nodules in 2-[18F]FDG PET/CT images with a 3D convolutional neural network
    Victor Manuel Alves, Jaime S. Cardoso, and Joao Gama
    Nuclear Medicine and Molecular Imaging (Springer), 2024
  12. Intrinsic Explainability for End-to-End Object Detection
    Luis Fernandes, Joao Fernandes, Mariana Calado, Joao Ribeiro Pinto, Ricardo Cerqueira, and Jaime S. Cardoso
    IEEE Access, 2024
  13. Classification of Keratitis from Eye Corneal Photographs using Deep Learning
    Maria Miguel Beirão, João Matos, Tiago Gonçalves, Camila Kase, Luis Filipe Nakayama, Denise Freitas, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), 2024
  14. A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment
    Helena Montenegro, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the Advances in Image Manipulation (AIM) Workshop and challenges at ECCV, 2024
  15. MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
    Eduarda Caldeira, Jaime S. Cardoso, Ana Filipa Sequeira, and Pedro Neto
    In Proceedings of the 7th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) at ECCV, 2024
  16. Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking
    Ines Martins, Joao Matos, Tiago Goncalves, Leo A. Celi, An-Kwok Ian Wong, and Jaime S. Cardoso
    In Proceedings of the Third Workshop on Applications of Medical Artificial Intelligence (AMAI)(in MICCAI 2024), 2024
  17. Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results
    Nuno Freitas, Carlos Veloso, Carlos Mavioso, Maria J. Cardoso, Helder P. Oliveira, and Jaime S. Cardoso
    In Proceedings of the Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI 2024), 2024
  18. Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach
    Mohammad Hossein Zolfagharnasab, Nuno Freitas, Tiago Goncalves, Eduard Bonci, Carlos Mavioso, Maria J. Cardoso, Helder P. Oliveira, and Jaime S. Cardoso
    In Proceedings of the Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care (in MICCAI 2024), 2024
  19. 2nd Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
    Ivan deAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, and 47 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
  20. Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification
    Isabel Rio-Torto, Jaime S. Cardoso, and Luis F. Teixeira
    In Proceedings of the Medical Imaging with Deep Learning conference (MIDL), 2024
  21. Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images
    Nuno Freitas, Helena Montenegro, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2024
  22. On the Suitability of B-cos Networks for the Medical Domain
    Isabel Rio-Torto, Tiago Goncalves, Jaime S. Cardoso, and Luis F. Teixeira
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2024
  23. Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology
    Tiago Goncalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, and 1 more author
    In Proceedings of the Imageomics Workshop at the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
  24. Dissecting the Impact of Data Augmentation on Whole Slide Image Classification
    Dagoberto Pulido Arias, Tiago Goncalves, Jayashree Kalpathy-Cramer, Elizabeth Gerstner, Jaime S. Cardoso, Albert Kim, and Christopher P. Bridge
    2024
  25. A machine learning system for keratitis diagnosis from cornea images
    Maria Beirao, Joao Matos, Tiago Goncalves, Camila Kase, Luis Filipe Nakayama, and Jaime S. Cardoso
    2024
  26. Thermometry Bias in Critical Care and Impact in Downstream Machine Learning Tasks
    Ines Martins, Joao Matos, Tiago Goncalves, Leo Anthony Celi, A. Ian Wong, and Jaime S. Cardoso
    2024
  27. Deep Learning-based Non-Invasive Molecular Profiling of Brain Metastases from MR Imaging
    Shreyas Bhat Brahmavar, Tiago Goncalves, Tobias R. Bodenmann, Syed Rakin Ahmed, Jay B. Patel, Praveer Singh, Katharina V. Hoebel, Mason C. Cleveland, Felix Dorfner, Dagoberto Pulido-Arias, and 7 more authors
    2024
  28. Weakly Supervised Domain Adaptation for Robust Colorectal Pathology Classification
    Joao Nunes, all, and Jaime S. Cardoso
    2024
  29. Prediction of Knee Osteoarthritis using MRI-based Radiomic Features of the Subchondral Bone and Infrapatellar Fat Pad
    Ines R. Campos, Rianne A. Heijden, Edwin H.G. Oei, Stefan Klein, Jaime S. Cardoso, and Jukka Hirvasniemi
    2024
  30. Trustworthy AI in Medical Imaging
    Tiago Gonçalves, Anna Hedström, Aurélie Pahud Mortanges, Xiaoxiao Li, Henning Müller, Jaime S. Cardoso, and Mauricio Reyes
    2024
  31. Trustworthy AI in Medical Imaging
    Carolina Bras, Helena Montenegro, Leon Y. Cai, Valentina Corbetta, Yuankai Huo, Wilson Silva, Jaime S. Cardoso, Bennett A. Landman, and Ivana Isgum
    2024

2023

  1. Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
    Orit Kaidar-Person, Marilia Antunes, Jaime S. Cardoso, Oriana Ciani, Helena Cruz, Rosa Di Micco, Oreste D. Gentilini, Tiago Goncalves, Pedro Gouveia, Jorg Heil, and 14 more authors
    PLOS ONE, 2023
  2. Unveiling the Performance of Video Anomaly Detection Models - a Benchmark-based Review
    Francisco Caetano, Pedro Carvalho, and Jaime S. Cardoso
    Intelligent Systems with Applications (Elsevier), 2023
  3. A simple machine learning-based framework for faster multi-scale simulations of path-independent materials at large strains
    Antonio Couto Carneiro, Ana Francisca Alves, Rui Cardoso Coelho, Jaime S. Cardoso, and Francisco Andrade Pires
    Finite Elements in Analysis & Design (Elsevier), 2023
  4. Deep Edge Detection Methods for the Automatic Calculation of the Breast Contour
    Nuno Freitas, Daniel Silva, Carlos Mavioso, Maria J. Cardoso, and Jaime S. Cardoso
    Bioengineering (MDPI), 2023
  5. Two-Stage Framework for Faster Semantic Segmentation
    Ricardo Cruz, Diana Teixeira Silva, Tiago Goncalves, Diogo Carneiro, and Jaime S. Cardoso
    Sensors (MDPI), 2023
  6. A CAD system for automatic dysplasia grading on H&E cervical whole-slide images
    Sara P. Oliveira, Diana Montezuma, Ana Moreira, Domingos Oliveira, Pedro Neto, Ana Monteiro, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Isabel M. Pinto, and 1 more author
    Scientific Reports (Nature), 2023
  7. Annotating for Artificial Intelligence applications in Digital Pathology: a practical guide for pathologists and researchers
    Diana Montezuma, Sara P. Oliveira, Pedro C. Neto, Domingos Oliveira, Ana Monteiro, Jaime S. Cardoso, and Isabel Macedo-Pinto
    Modern Pathology (Elsevier), 2023
  8. Rethinking Low-Cost Microscopy Workflow: Image Enhancement using Deep Based Extended Depth of Field Methods
    Tome Albuquerque, Luis Rosado, Ricardo Cruz, Maria Vasconcelos, Tiago Oliveira, and Jaime S. Cardoso
    Intelligent Systems with Applications (Elsevier), 2023
  9. Symmetry-based Regularization in Deep Breast Cancer Screening
    Eduardo Meca Castro, Jose Costa Pereira, and Jaime S. Cardoso
    Medical Image Analysis (Elsevier), 2023
  10. Evaluation of Vectra XT 3D surface imaging technology in measuring breast symmetry and breast volume
    My Pham, Robert Alzul, Elisabeth Elder, James French, Jaime S. Cardoso, Ahmad Kaviani, and Farid Meybodi
    Aesthetic Plastic Surgery (Springer), 2023
  11. Active Supervision: Human in the Loop
    Ricardo Cruz, ASM Shihavuddin, Hasan Maruf, and Jaime S. Cardoso
    In Proceedings of the 26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023
  12. YOLOMM - You Only Look Once for Multi-modal Multi-tasking
    Filipe Campos, Francisco Cerqueira, Ricardo Cruz, and Jaime S. Cardoso
    In Proceedings of the 26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023
  13. Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI
    Tome Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria Vasconcelos, Jaime S. Cardoso, and Peter Schuffler
    In Proceedings of the 4th International Workshop on Multiscale Multimodal Medical Imaging (MMMI), 2023
  14. Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition
    Pedro Neto, Eduarda Caldeira, Jaime S. Cardoso, and Ana F. Sequeira
    In Proceedings of the 22th International Conference of the Biometrics Special Interest Group (BIOSIG), 2023
  15. Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023
    Isabel Rio-Torto, Cristiano Patricio, Helena Montenegro, Tiago Goncalves, and Jaime S. Cardoso
    In Proceedings of the Multimedia Retrieval Challenge in CLEF (ImageCLEF), 2023
  16. Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
    Eduarda Caldeira, Pedro C. Neto, Tiago Goncalves, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso
    In Proceedings of the 31st European Signal Processing Conference (EUSIPCO), 2023
  17. Shining Light on Dark Skin: Pulse Oximetry Correction Models
    Joao Matos, Tristan Struja, Jack Gallifant, Marie-Laure Charpignon, Jaime S. Cardoso, and Leo Anthony Celi
    In Proceedings of the IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), 2023
  18. OCT Image Synthesis through Deep Generative Models
    Tania Melo, Jaime S. Cardoso, Angela Carneiro, Aurelio Campilho, and Ana Mendonca
    In Proceedings of the IEEE International Symposium on Computer Based Medical Systems (CBMS), 2023
  19. Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models
    Javier Barbero-Gomez, Ricardo Cruz, Jaime S. Cardoso, Pedro A. Gutierrez, and Cesar Hervas-Martinez
    In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2023
  20. PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition
    Pedro Neto, Filipa Sequeira, Jaime S. Cardoso, and Philipp Terhoerst
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
  21. Deep Learning Strategies for Rare Drug Mechanism of Action Prediction
    Goncalo Ferreira, Marco Teixeira, Raquel Belo, Wilson Silva, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2023
  22. Transformer-based Multi-Prototype Approach for Diabetic Macular Edema Analysis in Oct Images
    Placido Vidal, Joaquim Moura, Jorge Novo, Marcos Ortega, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  23. Deep Minutiae Fingerprint Extraction Using Equivariance Priors
    Margarida Gouveia, Eduardo Meca, Ana Rebelo, and Jaime S. Cardoso
    In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), 2023
  24. CINDERELLA Clinical Trial (NCT05196269): using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions
    Eduard-Alexandru Bonci al.
    2023
  25. CINDERELLA Trial: validation of an artificial-intelligence cloud-based platform to improve the shared decision-making process and outcomes in breast cancer patients proposed for locoregional treatment
    Eduard-Alexandru Bonci al.
    2023
  26. MRI-Based Radiomics for Assessment of the Infrapatellar Fat Pad’s Influence on Patellofemoral Pain
    Ines Campos, R A. Heijden, E.H.G. Oei, M. Middelkoop, S. Klein, Jaime S. Cardoso, and J. Hirvasniemi
    2023
  27. Automatic detection and counting of pathological specimens with a rejection option
    Ana Beatriz Vieira, Diana Montezuma, Tome Albuquerque, Liliana Ribeiro, Filipa Rebolo, Domingos Oliveira, Joao Monteiro, Sofia Goncalves, Isabel Macedo Pinto, Jaime S. Cardoso, and 1 more author
    2023
  28. To err or to say ’I don’t know’? A study on the usage of efficient mixed supervision with a rejection option to diagnose colorectal lesions on WSI
    Pedro C. Neto, Sara P. Oliveira, Diana Montezuma, Domingos Oliveira, Joao Monteiro, Jaime S. Cardoso, and Isabel M. Pinto
    2023
  29. Multimodal Identification of Brain Tumor Biomarkers using a Deep Fusion Strategy from MRI and Digital Pathology exams
    Tome Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria Joao Vasconcelos, Jaime S. Cardoso, and Peter Schuffler
    2023

2022

  1. Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
    2022
  2. Computer-aided Diagnosis through Medical Image Retrieval in Radiology
    Wilson Silva, Tiago Goncalves, Kirsi Harma, Erich Schroder, Verena Carola Obmann, Maria Cecilia Barroso, Alexander Poellinger, Mauricio Reyes, and Jaime S. Cardoso
    Scientific Reports (Nature), 2022
  3. Deep Anomaly Detection for In-Vehicle Monitoring - An Application-Oriented Review
    Francisco Caetano, Pedro M Carvalho, and Jaime S. Cardoso
    Applied Sciences (MDPI), 2022
  4. Towards vehicle occupant-invariant models for activity characterisation
    Leonardo Capozzi, Vitor Barbosa, Carolina Pinto, João Ribeiro Pinto, Américo Pereira, Pedro M. Carvalho, and Jaime S. Cardoso
    Access (IEEE), 2022
  5. A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
    Tiago Goncalves, Isabel Rio-Torto, Luis Teixeira, and Jaime S. Cardoso
    Access (IEEE), 2022
  6. Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition
    Pedro C. Neto, Joao Ribeiro Pinto, Fadi Boutros, Naser Damer, Ana Filipa Sequeira, and Jaime S. Cardoso
    Access (IEEE), 2022
  7. Electrocardiogram Lead Conversion from Single-Lead Blindly-Segmented Signals
    Sofia C. Beco, Joao Ribeiro Pinto, and Jaime S. Cardoso
    BMC Medical Informatics and Decision Making, 2022
  8. Spiking Neural Networks: A Survey
    Joao Nunes, Marcelo Carvalho, Diogo Carneiro, and Jaime S. Cardoso
    IEEE Access, 2022
  9. iMIL4PATH: a semi-supervised interpretable approach for colorectal whole-slide images
    Pedro C. Neto, Sara P. Oliveira, Diana Montezuma, Joao Fraga, Ana Monteiro, Liliana Ribeiro, Sofia Goncalves, Isabel M. Pinto, and Jaime S. Cardoso
    Cancers (MDPI), 2022
  10. Quasi-Unimodal Distributions for Ordinal Classification
    Tome Albuquerque, Ricardo Pereira Cruz, and Jaime S. Cardoso
    Mathematics (MDPI), 2022
  11. Privacy-preserving Case-based Explanations: Enabling visual interpretability by protecting privacy
    Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, and Jaime S. Cardoso
    IEEE Access, 2022
  12. Tackling unsupervised multi-source domain adaptation with optimism and consistency
    Diogo Pernes and Jaime S. Cardoso
    Expert Systems With Applications (Elsevier), 2022
  13. Lesion Volume Quantification using two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients
    Marcela Oliveira, Marina Piacenti-Silva, Fernando Coronetti, Gomes Rocha, Jorge Manuel Santos, Jaime S. Cardoso, and Paulo Noronha Lisboa-Filho
    Diagnostics (MDPI), 2022
  14. Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
    Helena Montenegro, Wilson Silva, and Jaime S. Cardoso
    In Proceedings of the Medical Applications with Disentanglements (MAD) Workshop, as part of the MICCAI conference, 2022
  15. OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement
    Pedro Neto, Tiago Goncalves, Marco Huber, Fadi Boutros, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso
    In Proceedings of the 21th International Conference of the Biometrics Special Interest Group (BIOSIG), 2022
  16. SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
    Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Goncalves, Ana F. Sequeira, Jaime S. Cardoso, and 9 more authors
    In Proceedings of the International Joint Conference on Biometrics (IJCB), 2022
  17. IJCB OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
    Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto, Naser Damer, Ana F. Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, and 6 more authors
    In Proceedings of the International Joint Conference on Biometrics (IJCB), 2022
  18. Quality control in digital pathology: automatic fragment detection and counting
    Tome Albuquerque, Ana Moreira, Ana Beatriz Barros, Diana Felizardo, Sara Oliveira, Pedro Neto, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Ana Monteiro, and 2 more authors
    In Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
  19. Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation
    Pedro Costa, Alex Gaudio, Aurélio Campilho, and Jaime S. Cardoso
    In Proceedings of the Medical Imaging with Deep Learning (MIDL), 2022
  20. From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation
    Isabel Rio-Torto, Jaime S. Cardoso, and Luis F. Teixeira
    In Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2022
  21. Increased Robustness in Chest X-ray Classification through Clinical Report-driven regularization
    Diogo Mata, Wilson Silva, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2022
  22. Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes
    Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria J. Cardoso, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2022
  23. Myope Models - Are face presentation attack detection models short-sighted?
    Pedro Neto, Filipa F. Sequeira, and Jaime S. Cardoso
    In Proceedings of the Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics at WACV, 2022
  24. Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy
    Joao Pinto, Pedro Carvalho, Carolina Pinto, Afonso Sousa, Leonardo Capozzi, and Jaime S. Cardoso
    In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 2022
  25. Deep learning for space-borne focal-plane wavefront sensing
    Maxime Dumont, Carlos Correia, Jean-François Sauvage, Noah Schwartz, Jaime S. Cardoso, Morgan Gray, Olivier Beltramo-Martin, Thierry Fusco, Charlotte Bond, Aurélie Bonnefois, and 2 more authors
    2022
  26. Computer-aided tool for CRC diagnosis: from the AI model to the clinical software prototype
    Joao Romao, Diana Montezuma, Sara P. Oliveira, Pedro C. Neto, Liliana Ribeiro, Sofia Goncalves, Joao Monteiro, Ana Monteiro, Jaime S. Cardoso, and Isabel M. Pinto
    2022
  27. Quality checkpoint in pathology specimens handling: an AI system to automate fragment detection and count
    Tome Albuquerque, Diana Montezuma, Sara Oliveira, Pedro Neto, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Ana Monteiro, Isabel M. Pinto, and Jaime S. Cardoso
    2022

2021

  1. Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
    2021
  2. Artificial Intelligence in Medicine
    2021
  3. AUTOMOTIVE: A case study on AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles
    Telma Esteves, Joao R. Pinto, Pedro M. Ferreira, Pedro Amaro Costa, Lourenco Abrunhosa Rodrigues, Ines Antunes, Gabriel Lopes, Pedro Gamito, Arnaldo Abrantes, Pedro M. Jorge, and 4 more authors
    IEEE Access, 2021
  4. Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis
    Helena Montenegro, Wilson Silva, and Jaime S. Cardoso
    IEEE Access, 2021
  5. DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition
    Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, and Jaime S. Cardoso
    IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021
  6. CAD Systems for Colorectal Cancer from WSI are still not ready for clinical acceptance
    Sara Oliveira, Pedro C. Neto, Joao Fraga, Diana Montezuma, Ana Monteiro, Joao Monteiro, Liliana Ribeiro, Sofia Goncalves, Isabel M. Pinto, and Jaime S. Cardoso
    Scientific Reports (Nature), 2021
  7. User-Driven Fine-Tuning for Beat Tracking
    Antonio S. Pinto, Sebastian Bock, Jaime S. Cardoso, and Matthew E. P. Davies
    Electronics (MDPI), 2021
  8. Efficient Reactive Obstacle Avoidance Using Spirals for Escape
    Fabio Azevedo, Jaime S. Cardoso, Andre Ferreira, Tiago Fernandes, Miguel Moreira, and Luis Campos
    Drones (MDPI), 2021
  9. An Exploratory Study of Interpretability for Face Presentation Attack Detection
    Filipa Sequeira, Tiago Goncalves, Wilson Silva, Joao Pinto, and Jaime S. Cardoso
    IET Biometrics, 2021
  10. Epistemic and Heteroscedastic Uncertainty Estimation in Retinal Blood Vessel Segmentation
    Pedro Costa, Asim Smailagic, Jaime S. Cardoso, and Aurelio Campilho
    U.Porto Journal of Engineering, 2021
  11. 3D breast volume estimation
    Pedro F Gouveia, Helder P Oliveira, Joao P Monteiro, Joao F. Teixeira, Nuno L Silva, David Pinto, Carlos Mavioso, Joao Anacleto, Marta Martinho, Ines Duarte, and 3 more authors
    European Surgical Research, 2021
  12. Ordinal losses for classification of cervical cancer risk
    Tome Albuquerque, Ricardo Cruz, and Jaime S. Cardoso
    PeerJ, 2021
  13. Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process
    Mohsen Saffari, Mahdi Khodayar, Mohammad Saeed E. Saadabadi, Ana F. Sequeira, and Jaime S. Cardoso
    Sensors(MDPI), 2021
  14. A Systematic Survey of ML Datasets for Prime CV Research Areas - Media and Metadata
    Helder Castro, Jaime S. Cardoso, and Maria Andrade
    Data (MDPI), 2021
  15. Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics
    Joao Ribeiro Pinto, Miguel V. Correia, and Jaime S. Cardoso
    IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
  16. Hidden Markov Models on a Self-Organizing Map for Anomaly Detection in 802.11 Wireless Networks
    Anisa Allahdadi, Diogo Pernes, Jaime S. Cardoso, and Ricardo Morla
    Neural Computing and Applications, 2021
  17. Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI
    Isabella Medeiros Sousa, Marcela Oliveira, Paulo Noronha Lisboa-Filho, and Jaime S. Cardoso
    In Proceedings of the Workshop on Machine Learning for Biological and Medical Image Big Data, as part of BIBM 2021, 2021
  18. FocusFace: Multi-task Contrastive Learning for Masked Face Recognition
    Pedro Carneiro, Fadi Boutros, Joao Pinto, Naser Damer, Ana Sequeira, and Jaime S. Cardoso
    In Workshop on Face and Gesture Analysis for COVID-19 (FG4COVID19), 2021
  19. Interlead Conversion of Single-Lead Blindly-Segmented Electrocardiogram Signals
    Sofia Beco, Joao Ribeiro Pinto, and Jaime S. Cardoso
    In Proceedings of the 17th Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021
  20. Brain extraction by convolutional neural networks in MRI of multiple sclerosis patients
    Marcela Oliveira, Jorge Santos, and Jaime S. Cardoso
    In Proceedings of the 17TH International Conference on Medical Information Processing and Analysis (SIPAIM), 2021
  21. Adaptacao de uma rede U-net com duas MRIs de entrada para segmentacao de lesoes escleroticas
    Isabella Medeiros Sousa, Marcela Oliveira, and Jaime S. Cardoso
    In Proceedings of the 13st Simpósio de Engenharia Biomédica (XIII SEB), 2021
  22. Deep Ordinal Focus Assessment for Whole Slide Images
    Tome Albuquerque, Ana Moreira, and Jaime S. Cardoso
    In Proceedings of the 1st Workshop on Computational Challenges in Digital Pathology (CDPath), as part of the ICCV conference, 2021
  23. My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
    Pedro Neto, Fadi Boutros, Joao Ribeiro Pinto, Mohsen Saffari, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso
    In Proceedings of the 20th International Conference of the Biometrics Special Interest Group (BIOSIG), 2021
  24. Towards Privacy-preserving Explanations in Medical Image Analysis
    Helena Montenegro, Wilson Silva, and Jaime S. Cardoso
    In Proceedings of the 1st Workshop on Interpretable Machine Learning in Healthcare (IMLH), as part of the ICML conference, 2021
  25. MFR 2021: Masked Face Recognition Competition
    Fadi Boutros, Naser Damer, Jan Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, and 24 more authors
    In Proceedings of the International Joint Conference on Biometrics (IJCB), 2021
  26. Impact of visual noise in activity recognition using deep neural networks - an experimental approach
    Leonardo Capozzi, Pedro Carvalho, Afonso Sousa, Carolina Pinto, Joao R. Pinto, and Jaime S. Cardoso
    In Proceedings of the IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML 2021), 2021
  27. A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images
    Pedro Costa, Aurelio Campilho, and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (CIARP’21), 2021
  28. End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation
    Leonardo Capozzi, Jaime S. Cardoso, Ana Rebelo, and Joao Pinto
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (CIARP’21), 2021
  29. Optimizing Person Re-Identification using Generated Attention Masks
    Leonardo Capozzi, Joao Pinto, Jaime S. Cardoso, and Ana Rebelo
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (CIARP’21), 2021
  30. Embedded Regularization for Classification of Colposcopic Images
    Tome Albuquerque and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2021
  31. Mixture-Based Open World Face Recognition
    Arthur Matta, Joao Ribeiro Pinto, and Jaime S. Cardoso
    In Proceedings of 9th World Conference on Information Systems and Technologies (WorldCIST), 2021
  32. Background Invariance by Adversarial Learning
    Ricardo Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    In Proceedings of 25th International Conference on Pattern Recognition (ICPR), 2021
  33. Skull extraction for analysis of brain damage in magnetic resonance imaging
    Marcela Oliveira, M. Piacenti-Silva, Fernando Rocha, Jorge Santos, Jaime S. Cardoso, and Paulo N. Lisboa-Filho
    2021
  34. Colorectal biopsies assessment using weakly supervised classification of whole-slide images
    Pedro C. Neto, Sara P. Oliveira, Joao Fraga, Diana Montezuma, Jaime S. Cardoso, and Isabel M. Pinto
    2021
  35. Encyclopedia of Cryptography Security and Privacy
    Joao Ribeiro Pinto and Jaime S. Cardoso
    2021

2020

  1. Interpretable and Annotation-Efficient Learning for Medical Image Computing
    2020
  2. Machine Learning Improvements to Human MotionTracking with IMUs
    Pedro Ribeiro, Ana Matos, Pedro Santos, and Jaime S. Cardoso
    Sensors (MDPI), 2020
  3. 802.11 Wireless Simulation and Anomaly Detection using HMM and UBM
    Anisa Allahdadi, Ricardo Morla, and Jaime S. Cardoso
    Simulation (Sage Journal), 2020
  4. Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides
    Sara P. Oliveira, Joao Ribeiro Pinto, Tiago Goncalves, Rita C. Marques, Maria Joao Cardoso, Helder P. Oliveira, and Jaime S. Cardoso
    Applied Sciences, 2020
  5. A Novel Approach to Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes
    Tiago Goncalves, Wilson Silva, Maria Joao Cardoso, and Jaime S. Cardoso
    Health and Technology, 2020
  6. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
    Thomas Schaffter, Diana S. M. Buist, Christoph I. Lee, and al
    JAMA Network Open, 2020
  7. Automated Development of Custom Fall Detectors: Position, Model and Rate Impact in Performance
    Joana Silva, Diana Gomes, Ines Sousa, and Jaime S. Cardoso
    IEEE Sensors Journal, 2020
  8. Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
    Jose Martins, Jaime S. Cardoso, and Filipe Soares
    Computer Methods and Programs in Biomedicine, 2020
  9. Automatic detection of perforators for microsurgical reconstruction
    Carlos Mavioso, Ricardo Araujo, Helder P. Oliveira, Joao C. Anacleto, Maria Antonia Vasconcelos, David Pinto, Pedro Gouveia, Celeste Alves, Jaime S. Cardoso, Maria Joao Cardoso, and 1 more author
    The Breast, 2020
  10. 3D Digital Breast Cancer Models with Multimodal Fusion Algorithms
    Silvia Bessa, Pedro F. Gouveia, Pedro H. Carvalho, Catia Rodrigues, Nuno L. Silva, Fatima Cardoso, Jaime S. Cardoso, Helder P. Oliveira, and Maria Joao Cardoso
    The Breast, 2020
  11. Evolution, Current Challenges, and Future Possibilities in the Objective Assessment of Aesthetic Outcome of Breast Cancer Locoregional Treatment
    Jaime S. Cardoso, Wilson Silva, and Maria Joao Cardoso
    The Breast, 2020
  12. Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls
    Joana Silva, Ines Sousa, and Jaime S. Cardoso
    IEEE Journal of Biomedical and Health Informatics, 2020
  13. Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks
    Marcela Oliveira, Felipe Santinelli, Marina Piacenti-Silva, Fernando Coronetti Gomes Rocha, Fabio Barbieri, Paulo Noronha Lisboa-Filho, Jorge Manuel Santos, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020
  14. Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies
    Pedro Augusto, Jaime S. Cardoso, and Joaquim Fonseca
    In Proceedings of Fourth IEEE International Conference on Image Processing, Applications and Systems (IPAS), 2020
  15. Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks
    Joao Ribeiro Pinto, Tiago Goncalves, Carolina Pinto, Luis Sanhudo, Joaquim Fonseca, Filipe Goncalves, Pedro Carvalho, and Jaime S. Cardoso
    In Proceedings of Fourth IEEE International Conference on Image Processing, Applications and Systems (IPAS), 2020
  16. Deep Image Segmentation for Breast Keypoint Detection
    Tiago Goncalves, Wilson Silva, Maria Joao Cardoso, and Jaime S. Cardoso
    In Proceedings of 3rd XoveTIC Conference, 2020
  17. A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning
    Joao A. Pereira, Ana F. Sequeira, Diogo Pernes, and Jaime S. Cardoso
    In Proceedings of the 19th International Conference of the Biometrics Special Interest Group (BIOSIG), 2020
  18. Explaining ECG Biometrics: Is It All In The QRS?
    Joao Ribeiro Pinto and Jaime S. Cardoso
    In Proceedings of the 19th International Conference of the Biometrics Special Interest Group (BIOSIG), 2020
  19. Interpretability-guided Content-based Medical Image Retrieval
    Wilson Silva, Alexander Poellinger, Jaime S. Cardoso, and Mauricio Reyes
    In Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
  20. Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?
    Ana F. Sequeira, Joao Ribeiro Pinto, Wilson Silva, Tiago Goncalves, and Jaime S. Cardoso
    In Proceedings of the The 8th International Workshop on Biometrics and Forensics (IWBF), 2020
  21. Secure Triplet Loss for End-to-End Deep Biometrics
    Joao Ribeiro Pinto and Jaime S. Cardoso
    In Proceedings of the The 8th International Workshop on Biometrics and Forensics (IWBF), 2020
  22. Video summarization through Total Variation, Deep Semi-Supervised Autoencoder and Clustering Algorithms
    Eden Silva, Eliaquim Ramos, Leandro Silva, Jaime S. Cardoso, and Gilson Giraldi
    In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), 2020
  23. Soft Rotation Equivariant Convolutional Neural Networks
    Eduardo Castro, Jose Costa Pereira, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020
  24. Self-Learning with Stochastic Triplet Loss
    Joao Ribeiro Pinto and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020
  25. Automatic detection of perforators for microsurgical reconstruction and correlation with patient’s body-mass index
    David Pinto, Carlos Mavioso, R.J. Araujo, H.P. Oliveira, J.C. Anacleto, M.A. Vasconcelos, P. Gouveia, N. Abreu C. Alves, Jaime S. Cardoso, M.J. Cardoso, and 1 more author
    2020
  26. A Breast 3D model as a possible tool for non-invasive tumour localization in breast surgery
    Pedro Gouveia, Silvia Bessa, Helder P. Oliveira, E. Batista, M. Aleluia, J. Ip, J. Costa, L. Nuno, David Pinto, Carlos Mavioso, and 10 more authors
    2020
  27. Skull Extraction for Quantification of Brain Volume in Magnetic Resonance Imaging of Multiple Sclerosis Patients
    Marcela Oliveira, Marina Silva, Fernando Rocha, Jorge Santos, Jaime S. Cardoso, and Paulo N. Lisboa-Filho
    2020

2019

  1. Signer-Independent Sign Language Recognition with Adversarial Neural Networks
    Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, and Jaime S. Cardoso
    International Journal of Machine Learning and Computing (IJMLC), 2019
  2. Hypothesis Transfer Learning Based on Structural Model Similarity
    Kelwin Fernandes and Jaime S. Cardoso
    Neural Computing and Applications, 2019
  3. Insulator Visual Non-Conformity Detection in Overhead Power Distribution Lines using Deep Learning
    Ricardo M. Prates, Ricardo Cruz, Andre P. Marotta, Rodrigo P. Ramos, Eduardo F. Simas Filho, and Jaime S. Cardoso
    Computers and Electrical Engineering, 2019
  4. Machine Learning Interpretability: A Survey on Methods and Metrics
    Diogo Vaz Carvalho, Eduardo Marques Pereira, and Jaime S. Cardoso
    Electronics (section: Artificial Intelligence), 2019
  5. Sparse Multi-Bending Snakes
    Ricardo Araujo, Kelwin Fernandes, and Jaime S. Cardoso
    IEEE Transactions on Image Processing, 2019
  6. Directional Support Vector Machines
    Diogo Pernes, Kelwin Fernandes, and Jaime S. Cardoso
    Applied Sciences, 2019
  7. The importance of subject-dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions
    Claudia Silveira, Jaime S. Cardoso, Andre Lourenco, and Christer Ahlstrom
    IET Intelligent Transport Systems, 2019
  8. On the Role of Multimodal Learning in the Recognition of Sign Language
    Pedro Ferreira, Jaime S. Cardoso, and Ana Rebelo
    Multimedia Tools and Applications, 2019
  9. Learning Signer-Invariant Representations with Adversarial Training
    Pedro Ferreira, Diogo Pernes, Ana Rebelo, and Jaime S. Cardoso
    In Proceedings of the 12th International Conference on Machine Vision (ICMV), 2019
  10. Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes
    Tiago Goncalves, Wilson Silva, and Jaime S. Cardoso
    In Proceedings of the 15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2019
  11. Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations
    Pedro Ferreira, Ana F. Sequeira, Diogo Pernes, and Jaime S. Cardoso
    In Proceedings of the 18th International Conference of the Biometrics Special Interest Group (BIOSIG), 2019
  12. Automation of Waste Sorting with Deep Learning
    Joao Sousa, Ana Rebelo, and Jaime S. Cardoso
    In Proceedings of the XV Workshop on Computational Vision (WVC), 2019
  13. A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation
    Ricardo Araujo, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
  14. A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images
    Ricardo Araujo, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the 20th International Conference on Image Analysis and Processing (ICIAP), 2019
  15. An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication
    Joao Ribeiro Pinto and Jaime S. Cardoso
    In Proceedings of 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2019
  16. Power Distribution Insulators Classification Using Image Hybrid Deep Learning
    Ricardo M. Prates, Jaime S. Cardoso, Eduardo F. Simas Filho, and Rodrigo P. Ramos
    In Proceedings of 27th European Signal Processing Conference (EUSIPCO), 2019
  17. Towards Automatic Rat’s Gait Analysis Under Suboptimal Illumination Conditions
    Ana F. Adonias, Jaime S. Cardoso, Joana Ferreira-Gomes, Fani Neto, and Raquel Alonso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019
  18. Deep Vesselness Measure from scale-space analysis of Hessian Matrix Eigenvalues
    Ricardo Araujo, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019
  19. Don’t You Forget About Me: A Study on Long-Term Performance in ECG Biometrics
    Gabriel Lopes, Joao Ribeiro Pinto, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2019
  20. Automatic Augmentation by Hill Climbing
    Ricardo Cruz, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    In Proceedings of the 28th International Conference on Artificial Neural Networks (ICANN), 2019
  21. Weight Rotation as a Regularization Strategy in Convolutional Neural Networks
    Eduardo Castro, Jose Costa Pereira, and Jaime S. Cardoso
    In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
  22. Quality-based Regularization for Iterative Deep Image Segmentation
    Jose Rebelo, Kelwin Fernandes, and Jaime S. Cardoso
    In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
  23. Averse Deep Semantic Segmentation
    Ricardo Cruz, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    In Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
  24. SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities
    Diogo Pernes and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2019
  25. How to produce complementary explanations using an Ensemble Model
    Wilson Silva, Kelwin Fernandes, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2019
  26. Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes
    Wilson Silva, Eduardo Castro, Maria Joao Cardoso, Florian Fitzal, and Jaime S. Cardoso
    In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI’19), 2019
  27. The Biometric Computing: Recognition and Registration
    Joao Ribeiro Pinto, Jaime S. Cardoso, and Andre Lourenco
    2019

2018

  1. Physiological Inspired Deep Neural Networks for Emotion Recognition
    Pedro Ferreira, Filipe Marques, Jaime S. Cardoso, and Ana Rebelo
    IEEE Access, 2018
  2. The Value of 3D Images in Aesthetic Evaluation of Breast Cancer Conservative Treatment. Results from a Prospective Multicentric Clinical Trial
    Maria Joao Cardoso, Conny Vrieling, Jaime S. Cardoso, Helder P. Oliveira, Norman R Williams, J. M. Dixon, PICTURE Project Clinical Trial Team, and PICTURE Project Delphi Panel
    The Breast, 2018
  3. Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
    Joao Ribeiro Pinto, Jaime S. Cardoso, and Andre Lourenco
    IEEE Access, 2018
  4. Automated Methods for the Decision Support of Cervical Cancer Screening using Digital Colposcopies
    Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes
    IEEE Access, 2018
  5. Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
    Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, and Jessica Fernandes
    PeerJ Computer Science, 2018
  6. Binary Ranking for Ordinal Class Imbalance
    Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto Costa, Maria Perez Ortiz, and Jaime S. Cardoso
    Pattern Analysis and Applications, 2018
  7. A Deep Learning Approach for the Forensic Evaluation of Sexual Assault
    Kelwin Fernandes, Jaime S. Cardoso, and Birgitte Astrup
    Pattern Analysis and Applications, 2018
  8. A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery
    Hooshiar Zolfagharnasab, Silvia Bessa, Sara P. Oliveira, Pedro Faria, Joao F. Teixeira, Jaime S. Cardoso, and Helder P. Oliveira
    Sensors, 2018
  9. microSmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage
    Luís Rosado, Paulo T. Silva, José Faria, João Oliveira, Maria João M. Vasconcelos, Dirk Elias, José M. Correia Costa, and Jaime S. Cardoso
    In Biomedical Engineering Systems and Technologies, 2018
  10. Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction?
    Ana Rebelo, Tiago Oliveira, Manuel E. Correia, and Jaime S. Cardoso
    In Proceedings of the 23rd Iberoamerican Congress on Pattern Recognition (CIARP), 2018
  11. Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods
    Licinio Oliveira, Jaime S. Cardoso, Andre Lourenco, and Christer Ahlstrom
    In Proceedings of the 7th European Workshop on Visual Information Processing (EUVIP), 2018
  12. The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation
    Pedro Alves, Jaime S. Cardoso, and Maria Bom-Sucesso
    In Proceedings of the 7th European Workshop on Visual Information Processing (EUVIP), 2018
  13. Robust Clustering-based Segmentation Methods for Fingerprint Recognition
    Pedro Ferreira, Ana F. Sequeira, Jaime S. Cardoso, and Ana Rebelo
    In Proceedings of the 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 2018
  14. Towards complementary explanations using Deep Neural Networks
    Wilson Silva, Kelwin Fernandes, Maria Joao Cardoso, and Jaime S. Cardoso
    In Proceedings of the Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2018
  15. A Class Imbalance Ordinal Method for Alzheimer’s Disease Classification
    Ricardo Cruz, Margarida Silveira, and Jaime S. Cardoso
    In Proceedings of the 8th International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018
  16. Transfer learning approach for fall detection with the FARSEEING real-world dataset
    Joana Silva, Ines Sousa, and Jaime S. Cardoso
    In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
  17. A Uniform Performance Index for Ordinal Classification with Imbalanced Classes
    Wilson Silva, Joao Ribeiro Pinto, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018
  18. Deep Image Segmentation by Quality Inference
    Kelwin Fernandes, Ricardo Cruz, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018
  19. Ordinal Image Segmentation using Deep Neural Networks
    Kelwin Fernandes and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2018
  20. Elastic Deformations for Data Augmentation in Mass Detection
    Eduardo Castro, Jose Costa Pereira, and Jaime S. Cardoso
    In Proceedings of the IEEE Biomedical and Health Informatics (BHI), 2018
  21. The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction
    Carlos Mavioso, J. Correia Anacleto, M. A Vasconcelos, Ricardo Araujo, Helder P. Oliveira, David Pinto, Pedro Gouveia, C. Alves, Fatima Cardoso, Jaime S. Cardoso, and 1 more author
    2018
  22. Deep Neural Network for Vector Field Topology Recognition with Applications to Fluid Flow Summarization
    Eliaquim Ramos, Leandro Silva, Jaime S. Cardoso, and Gilson Giraldi
    2018

2017

  1. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
    2017
  2. Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel
    Joao Ribeiro Pinto, Jaime S. Cardoso, Andre Lourenco, and Carlos Carreiras
    Sensors, 2017
  3. Mobile-based analysis of malaria-infected thin blood smears: Automated species and life cycle stage determination
    Luis Rosado, Dirk Elias, Jose M. Correia Costa, and Jaime S. Cardoso
    Sensors, 2017
  4. Foreword to the special issue on pattern recognition and image analysis
    Jaime S. Cardoso, Xose M. Pardo, and Roberto Paredes
    Neural Computing and Applications, 2017
  5. Multi-Source Deep Transfer Learning for Cross-sensor Biometrics
    Chetak Kandaswamy, Joao C. Monteiro, L. M. Silva, and Jaime S. Cardoso
    Neural Computing and Applications, 2017
  6. Cross-layer Classification Framework for Automatic Social Behavioural Analysis in Surveillance Scenario
    Eduardo Marques Pereira, Lucian Ciobanu, and Jaime S. Cardoso
    Neural Computing and Applications, 2017
  7. A proposal for a gold standard for cosmetic evaluation after breast conserving therapy: results from the St George and Wollongong Breast Boost trial.
    Roya Merie, Lois Browne, Jaime S. Cardoso, Maria Joao Cardoso, Yaw Chin, Clark Catherine, Peter Graham, Alison Szwajcer, and Eric Hau
    Journal of Medical Imaging and Radiation Oncology, 2017
  8. Mass Segmentation in Mammograms: a Cross-Sensor comparison of deep and tailored features
    Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, and Andrew Bradley
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2017
  9. Measuring Impedance in Congestive Heart Failure
    Ricardo Silva, Jaime S. Cardoso, and Filipe Sousa
    In Proceedings of the 14th International Conference on Wearable, micro & Nano Technologies (pHealth), 2017
  10. Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation
    Maria Perez Ortiz, Kelwin Fernandes, Ricardo Cruz, Jaime S. Cardoso, Javier Briceno, and Cesar Hervas-Martinez
    In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017
  11. Constraining Type II Error: Building Intentionally Biased Classifiers
    Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017
  12. Combining Ranking with Traditional Methods for Ordinal Class Imbalance
    Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto Costa, Maria Perez Ortiz, and Jaime S. Cardoso
    In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), 2017
  13. Ordinal Class Imbalance with Ranking
    Ricardo Cruz, Kelwin Fernandes, Joaquim F. Pinto Costa, Maria Perez Ortiz, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017
  14. Transfer Learning with Partial Observability Applied to Cervical Cancer Screening
    Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017
  15. Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy
    Kelwin Fernandes, Jaime S. Cardoso, and Birgitte Astrup
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017
  16. Multimodal Learning for Sign Language Recognition
    Pedro Ferreira, Jaime S. Cardoso, and Ana Rebelo
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2017
  17. µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage
    Luis Rosado, Jaime S. Cardoso, Jose Costa, Maria Vasconcelos, Joao Oliveira, and Dirk Elias
    In Proceedings of the 10th International Conference on Biomedical Electronics and Devices (BIODEVICES), 2017
  18. CardioWheel: Physiological Driver Monitoring
    Andre Lourenco, Sofia Silveira, and Jaime S. Cardoso
    2017

2016

  1. Deep Learning and Data Labeling for Medical Applications
    2016
  2. Multimodal Hierarchical Face Recognition using Information from 2.5D Images
    Joao C. Monteiro, Tiago Freitas, and Jaime S. Cardoso
    U.Porto Journal of Engineering, 2016
  3. Long-Range Trajectories from Global and Local Motion Representations
    Eduardo Marques Pereira, Jaime S. Cardoso, and Ricardo Morla
    Journal of Visual Communication and Image Representation, 2016
  4. Discriminative Directional Classifiers
    Kelwin Fernandes and Jaime S. Cardoso
    Neurocomputing, 2016
  5. A review of automatic malaria parasites detection and segmentation in microscopic images
    Luis Rosado, Jose M. Correia Costa, Dirk Elias, and Jaime S. Cardoso
    Anti-Infective Agents, 2016
  6. The Breast Cancer Conservative Treatment. Cosmetic Results - BCCT.core - software for objective assessment of aesthetic outcome in breast cancer conservative treatment: a narrative review
    Maria Joao Cardoso, Jaime S. Cardoso, Helder P. Oliveira, and Pedro Gouveia
    Computer Methods and Programs in Biomedicine, 2016
  7. Towards Never-Ending Learning From Parallel Time-Series
    Samaneh Khoshrou and Jaime S. Cardoso
    In Proceedings of NIPS/NeurIPS Time Series Workshop 2016, 2016
  8. A comparative analysis of deep and shallow features for multimodal face recognition in a novel RGB-D-IR dataset
    Tiago Freitas, Pedro Alves, Cristiana Carpinteiro, Joana Rodrigues, Margarida Fernandes, Marina Castro, Joao C. Monteiro, and Jaime S. Cardoso
    In Proceedings of 12th International Symposium on Visual Computing (ISVC), 2016
  9. Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-Modal Imaging and Mechano-Biological Modelling Framework
    Bjorn Eiben, Rene Lacher, Vasileios Vavourakis, John H. Hipwell, Danail Stoyanov, Norman R. Williams, Jorg Sabczynski, Thomas Bulow, Dominik Kutra, Kirsten Meetz, and 14 more authors
    In Proceedings of the 13th International Workshop on Breast Imaging (IWBI), 2016
  10. Automated detection of malaria parasites on thick blood smears via mobile devices
    Luis Rosado, Jose M. Correia Costa, Dirk Elias, and Jaime S. Cardoso
    In Proceedings of the Medical Image Understanding and Analysis Conference (MIUA), 2016
  11. A Realistic Evaluation of Iris Presentation Attack Detection
    Ana F. Sequeira, Shejin Thavalengal, James Ferryman, Peter Corcoran, and Jaime S. Cardoso
    In Proceedings of the International Conference on Telecommunications and Signal Processing (TSP), 2016
  12. Fitting of Breast Data using Free Form Deformation Technique
    Hooshiar Zolfagharnasab, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), 2016
  13. Learning and Ensembling Lexicographic Preference Trees with Multiple Kernels
    Kelwin Fernandes, Jaime S. Cardoso, and Hector Palacios
    In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2016
  14. Tackling Class Imbalance with Ranking
    Ricardo Cruz, Kelwin Fernandes, Jaime S. Cardoso, and Joaquim F. Pinto Costa
    In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2016
  15. Three-dimensional breast volume assessment
    Pedro Gouveia, Joao P. Monteiro, Helder P. Oliveira, Maria Joao Cardoso, and Jaime S. Cardoso
    2016

2015

  1. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III
    2015
  2. Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015. Proceedings.
    2015
  3. Learning from Evolving Video Streams in a Multi-Camera Scenario
    Samaneh Khoshrou, Jaime S. Cardoso, and Luis F. Teixeira
    Machine Learning, 2015
  4. Fingerprint liveness detection in the presence of capable intruders
    Ana F. Sequeira and Jaime S. Cardoso
    Sensors, 2015
  5. A new Optical Music Recognition system based on Combined Neural Network
    Cuihong Wen, Ana Rebelo, Jing Zhang, and Jaime S. Cardoso
    Pattern Recognition Letters, 2015
  6. A Cognitively Motivated Framework for Partial Face Recognition in Unconstrained Scenarios
    Joao C. Monteiro and Jaime S. Cardoso
    Sensors, 2015
  7. Robust Classification with Reject Option Using the Self-Organizing Map
    Ajalmar Neto, Ricardo Sousa, Jaime S. Cardoso, and Guilherme Barreto
    Neural Computing and Applications, 2015
  8. The Vitality of Pattern Recognition and Image Analysis
    Luisa Mico, Joao M. Sanches, and Jaime S. Cardoso
    Neurocomputing, 2015
  9. Differential Scorecards for Binary and Ordinal data
    Pedro F. B. Silva and Jaime S. Cardoso
    Intelligent Data Analysis, 2015
  10. Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer
    Jaime S. Cardoso, Ines Domingues, and Helder P. Oliveira
    International Journal of Pattern Recognition and Artificial Intelligence, 2015
  11. The failure analysis and lifetime prediction for the solder joint of the magnetic head
    Xianghui Xiao, Minfang Peng, Jaime S. Cardoso, Rongjun Tang, and YingLiang Zhou
    Applied Physics A, 2015
  12. Spatio-Temporal Fusion for Learning of Regions of Interests over Multiple Video Streams
    Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, and Luis F. Teixeira
    In Proceedings of 11th International Symposium on Visual Computing (ISVC), 2015
  13. Periocular Recognition in Mobile Scenarios: A Comparative Analysis of Two Approaches
    Joao C. Monteiro, Rui Esteves, Gil Santos, Paulo Torrao Fiadeiro, Joana Lobo, and Jaime S. Cardoso
    In Proceedings of 11th International Symposium on Visual Computing (ISVC), 2015
  14. Social Signaling Descriptor for Group Behavior Analysis
    Eduardo Marques Pereira, Lucian Ciobanu, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2015
  15. A Novel Application of Universal Background Models for Periocular Recognition
    Joao C. Monteiro and Jaime S. Cardoso
    In Biomedical Engineering Systems and Technologies, 2015
  16. Source-Target-Source Classification using Stacked Denoising Autoencoders
    Chetak Kandaswamy, Luis Silva, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2015
  17. Temporal Segmentation of Digital Colposcopies
    Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2015
  18. Periocular Recognition under Unconstrained Settings with Universal Background Models
    Joao C. Monteiro and Jaime S. Cardoso
    In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), 2015
  19. Video Analysis in Indoor Soccer using a Quadcopter
    Filipe Ferreira, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2015
  20. oAdaBoost: An AdaBoost variant for Ordinal Classification
    Joao Costa and Jaime S. Cardoso
    In Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2015
  21. Identificacao automatica de mamografias normais no processo de rastreio do cancro da mama
    Jaime S. Cardoso, Silvia Bessa, Pedro Passarinho, Pedro Cardoso, Vitor Rodrigues, and Fernando Lage
    2015

2014

  1. Corrigendum to “The unimodal model for the classification of ordinal data” [Neural Netw. 21 (2008) 78-79]
    Joaquim F. Pinto Costa, Hugo Alonso, and Jaime S. Cardoso
    Neural Networks, 2014
  2. Signal transmission model for the substations grounding grid
    Xianghui Xiao, Minfang Peng, Jaime S. Cardoso, Lei Wang, and Meie Shen
    Expert Systems With Applications, 2014
  3. Assessing Cosmetic Results after Breast Conserving Surgery
    Maria Joao Cardoso, Helder P. Oliveira, and Jaime S. Cardoso
    Journal of Surgical Oncology, 2014
  4. Max Ordinal Learning
    Ines Domingues and Jaime S. Cardoso
    IEEE Transactions on Neural Networks and Learning Systems, 2014
  5. A 3D Low-cost Solution for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
    Helder P. Oliveira, Jaime S. Cardoso, Andre Magalhaes, and Maria Joao Cardoso
    Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2014
  6. PICTURE: Predicting the cosmetic outcome of breast cancer surgery
    Jorg Sabczynski, Hans Barschdorf, Thomas Bulow, Maria Joao Cardoso, Jaime S. Cardoso, Alex Clarke, Bjorn Eiben, Pedro Gouveia, David Hawkes, John Hipwell, and 16 more authors
    In Proceedings of the Virtual Physiological Human Conference, 2014
  7. 3D Reconstruction of body parts using RGB-D sensors: Challenges from a biomedical perspective
    Pedro Costa, Hooshiar Zolfagharnasab, Joao P. Monteiro, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the 5th International Conference on 3D Body Scanning Technologies, 2014
  8. Fitting of Superquadrics for Breast Modelling by Geometric Distance Minimization
    Diogo Pernes, Jaime S. Cardoso, and Helder P. Oliveira
    In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014
  9. Normal breast identification in screening mammography: a study on 18 000 images
    Silvia Bessa, Ines Domingues, Jaime S. Cardoso, Pedro Passarinho, Pedro Cardoso, Vitor Rodrigues, and Fernando Lage
    In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014
  10. MobILive 2014 - Mobile Iris Liveness Detection Competition
    Ana F. Sequeira, Helder P. Oliveira, Joao C. Monteiro, Joao P. Monteiro, and Jaime S. Cardoso
    In Proceedings of the International Joint Conference on Biometrics (IJCB), 2014
  11. Context-based Trajectory Descriptor for Human Activity Profiling
    Eduardo Marques Pereira, Lucian Ciobanu, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014
  12. Using Bayesian Surprise to Detect Calcifications in Mammogram Images
    Ines Domingues and Jaime S. Cardoso
    In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
  13. A Depth-Map Approach for Automatic Mice Behavior Recognition
    Joao P. Monteiro, Helder P. Oliveira, Paulo Aguiar, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2014
  14. Classification of Optical Music Symbols based on Combined Neural Network
    Cuihong Wen, Ana Rebelo, Jing Zhang, and Jaime S. Cardoso
    In Proceedings of the IEEE International Conference on Mechatronics and Control (ICMC), 2014
  15. Classification with Reject Option Using the Self-Organizing Map
    Ricardo Sousa, Ajalmar Neto, Jaime S. Cardoso, and Guilherme Barreto
    In Proceedings of International Conference on Artificial Neural Networks (ICANN), 2014
  16. Active Learning from Video Streams in a Multi-Camera Scenario
    Samaneh Khoshrou, Jaime S. Cardoso, and Luis F. Teixeira
    In Proceedings of 22nd International Conference on Pattern Recognition (ICPR), 2014
  17. Outlier Detection in 802.11 Wireless Access Points Using Hidden Markov Models
    Anisa Allahdadi, Ricardo Morla, and Jaime S. Cardoso
    In Proceedings of 7th IFIP Wireless and Mobile Networking Conference (WMNC), 2014
  18. Iris liveness detection methods in the mobile biometrics scenario
    Ana F. Sequeira, Juliano Murari, and Jaime S. Cardoso
    In Proceedings of International Joint Conference on Neural Networks (IJCNN), 2014
  19. Reject Option Paradigm for the Reduction of Support Vectors
    Ricardo Sousa, Ajalmar Neto, Guilherme Barreto, Jaime S. Cardoso, and Miguel Coimbra
    In Proceedings of European Symposium on Artificial Neural Networks (ESANN), 2014
  20. Iris liveness detection methods in Mobile Applications
    Ana F. Sequeira, Juliano Murari, and Jaime S. Cardoso
    In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), 2014
  21. Computer Vision, Imaging and Computer Graphics: Theory and Applications
    Joao C. Monteiro, Ana F. Sequeira, Helder P. Oliveira, and Jaime S. Cardoso
    2014

2013

  1. Pattern Recognition and Image Analysis: 6th Iberian Conference, IbPRIA 2013, Funchal, Madeira, Portugal, June 5-7, 2013. Proceedings.
    2013
  2. Objective assessment of cosmetic outcome after Targeted Intraoperative Radiotherapy in breast cancer: results from a randomised controlled trial
    Mohammed Keshtgar, Norman Williams, Max Bulsara, Christobel Saunders, Henrik Flyger, Jaime S. Cardoso, Tammy Corica, Neils Bentzon, Nikolaos Michalopoulos, and David Joseph
    Breast Cancer Research and Treatment, 2013
  3. Analysis of Object Description Methods in a Video Object Tracking Environment
    Pedro Carvalho, Telmo Oliveira, Lucian Ciobanu, Filipe Gaspar, Luis F. Teixeira, Rafael Bastos, Jaime S. Cardoso, Miguel S. Dias, and Luis Corte-Real
    Machine Vision and Applications, 2013
  4. The Data Replication Method for the Classification with Reject Option
    Ricardo Sousa and Jaime S. Cardoso
    AI Communications, 2013
  5. Methods for the aesthetic evaluation of Breast Cancer Conservation Treatment: A Technological Review
    Helder P. Oliveira, Jaime S. Cardoso, Andre Magalhaes, and Maria Joao Cardoso
    Current Medical Imaging Reviews, 2013
  6. Predicting Short 802.11 Sessions From RADIUS Usage Data
    Anisa Allahdadi, Ricardo Morla, Ana Aguiar, and Jaime S. Cardoso
    In Proceedings of the Ninth IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNet), 2013
  7. Staff line Detection and Removal in the Grayscale Domain
    Ana Rebelo and Jaime S. Cardoso
    In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), 2013
  8. Global constraints for syntactic consistency in OMR: an ongoing approach
    Ana Rebelo, Andre Marcal, and Jaime S. Cardoso
    In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), 2013
  9. Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries?
    Helder P. Oliveira, Marco D. Silva, Andre Magalhaes, Maria Joao Cardoso, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2013
  10. Motion Flow Tracking in Unconstrained Videos for Retail Scenario
    Eduardo Marques Pereira, Jaime S. Cardoso, and Ricardo Morla
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2013
  11. Robust Iris Segmentation under Unconstrained Settings
    Joao C. Monteiro, Helder P. Oliveira, Ana F. Sequeira, and Jaime S. Cardoso
    In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), 2013
  12. An objective assessment of cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer in patients from a randomized controlled trial
    Mohammed R. Keshtgar, Norman R. Williams, Tammy Corica, Max Bulsara, Christobel Saunders, Henrik Flyger, Neils Bentzon, Jaime S. Cardoso, Nikolaus Michalopoulos, and David John Joseph
    2013
  13. Cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer: An objective assessment of patients from a randomized controlled trial
    Mohammed R. Keshtgar, Norman R. Williams, Tammy Corica, Max Bulsara, Christobel Saunders, Henrik Flyger, Neils Bentzon, Jaime S. Cardoso, Nikolaus Michalopoulos, and David John Joseph
    2013
  14. Cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer: An objective assessment of patients from a randomized controlled trial
    Mohammed R. Keshtgar, Norman R. Williams, Tammy Corica, Max Bulsara, Christobel Saunders, Henrik Flyger, Neils Bentzon, Jaime S. Cardoso, Nikolaus Michalopoulos, and David John Joseph
    2013
  15. 3D Aesthetic Evaluation After Breast Cancer Surgery Using Kinect
    Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, and Maria Joao Cardoso
    2013
  16. Therapeutic reduction mammaplasty: does complications affect aesthetic outcome?
    Andre Magalhaes, Helder P. Oliveira, Jose Braga, Susy Costa, Fernando Osorio, Jaime S. Cardoso, and Jose Fougo
    2013
  17. Users’ perspective on Breast Cancer Conservative Treatment.cosmetic result (BCCT.core) software
    Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, and Maria Joao Cardoso
    2013

2012

  1. Filling The Gap in Quality Assessment of Video Object Tracking
    Pedro Carvalho, Jaime S. Cardoso, and Luis Corte-Real
    Image and Vision Computing, 2012
  2. Long-term cosmetic changes after breast conserving treatment for patients with stage I-II breast cancer and included in the EORTC ‘boost versus no boost’ trial
    Marcelle Immink, Hein Putter, Harry Bartelink, Jaime S. Cardoso, Maria Joao Cardoso, M. H. V. Hulst-Vijgen, Evert M. Noordijk, Philip M. Poortmans, C. C. Rodenhuis, and Henk Struikmans
    Annals of Oncology, 2012
  3. Optical Music Recognition: State-of-the-Art and Open Issues
    Ana Rebelo, Ichiro Fujinaga, Filipe Paszkiewicz, Andre Marcal, Carlos Guedes, and Jaime S. Cardoso
    International Journal of Multimedia Information Retrieval, 2012
  4. Recommendations for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
    Maria Joao Cardoso, Jaime S. Cardoso, Conny Vrieling, Douglas Macmillan, Dick Rainsbury, Joerg Heil, Eric Hau, and Mohammed Keshtgar
    Breast Cancer Research and Treatment, 2012
  5. INbreast: Towards a Full Field Digital Mammographic Database
    Ines Moreira, Igor Amaral, Ines Domingues, Antonio Cardoso, Maria Joao Cardoso, and Jaime S. Cardoso
    Academic Radiology, 2012
  6. Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
    Jaime S. Cardoso, Ricardo Sousa, and Ines Domingues
    In Proceedings of The Eleventh International Conference on Machine Learning and Applications (ICMLA), 2012
  7. Zatlab: A Gesture Analysis System to Music Interaction
    Andre Baltazar, Luis Gustavo Martins, and Jaime S. Cardoso
    In Proceedings of the 6th International Conference on Digital Arts (ARTECH), 2012
  8. Simultaneous Detection of Prominent Points on Breast Cancer Conservative Treatment Images
    Helder P. Oliveira, Jaime S. Cardoso, Andre Magalhaes, and Maria Joao Cardoso
    In Proceedings of The IEEE International Conference on Image Processing (ICIP), 2012
  9. Automatic Description of Object Appearances in a Wide-area Surveillance Scenario
    Luis F. Teixeira, Pedro Carvalho, Jaime S. Cardoso, and Luis Corte-Real
    In Proceedings of The IEEE International Conference on Image Processing (ICIP), 2012
  10. Artificial Intelligence, Evolutionary Computation and Metaheuristics (AIECM) –In the footsteps of Alan Turing (Turing 2012)
    Ricardo Sousa, Irina Yevseyeva, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    2012

2011

  1. Measuring the performance of ordinal classification
    Jaime S. Cardoso and Ricardo Sousa
    International Journal of Pattern Recognition and Artificial Intelligence, 2011
  2. Metric Learning for Music Symbol Recognition
    Ana Rebelo, Jakub Tkaczuk, Ricardo Sousa, and Jaime S. Cardoso
    In Proceedings of The Tenth International Conference on Machine Learning and Applications (ICMLA), 2011
  3. Max-Coupled Learning: Application To Breast Cancer
    Jaime S. Cardoso and Ines Domingues
    In Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA), 2011
  4. Development of a BCCT Quantitative 3D Evaluation System Through Low-Cost Solutions
    Helder P. Oliveira, Paolo Patete, Guido Baroni, and Jaime S. Cardoso
    In Proceedings of the 2nd International Conference on 3D Body Scanning Technologies, 2011
  5. Ensemble of Decision Trees with Global Constraints for Ordinal Classification
    Ricardo Sousa and Jaime S. Cardoso
    In International Conference on Intelligent Systems Design and Applications (ISDA), 2011
  6. A Method for Music Symbols Extraction based on Musical Rules
    Ana Rebelo, Filipe Paszkiewicz, Carlos Guedes, Andre Marcal, and Jaime S. Cardoso
    In Proceedings of BRIDGES, 2011
  7. Feature Selection with Complexity Measure in a Quadratic Programming Setting
    Ricardo Sousa, Helder P. Oliveira, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2011
  8. Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option
    Ajalmar Neto, Ricardo Sousa, Guilherme Barreto, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2011
  9. Music score binarization based on domain knowledge
    Telmo Pinto, Ana Rebelo, Gilson A. Giraldi, and Jaime S. Cardoso
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2011
  10. A Shortest Path Approach for Vibrating Line Detection and Tracking
    Pedro Carvalho, Miguel Pinheiro, Jaime S. Cardoso, and Luis Corte-Real
    In Proceedings of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2011
  11. Surface Reconstruction for Generating Digital Models of Prosthesis
    Luiz C. M. Aquino, Diego A. T. Q. Leite, Gilson A. Giraldi, Jaime S. Cardoso, Paulo S. S. Rodrigues, and Luiz A. P. Neves
    In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), 2011
  12. 3D Model for Aesthetic Objective Evaluation after Breast Cancer Surgery using Infrared Laser Projector
    Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, and Maria Joao Cardoso
    2011
  13. Aesthetic Evaluation After Mastectomy and Immediate Breast Reconstruction using the BCCT.core Software
    Andre Magalhaes, Helder P. Oliveira, Antonio Moura, Jaime S. Cardoso, and Maria Joao Cardoso
    2011
  14. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies (Vol II)
    Luiz C. M. Aquino, Gilson A. Giraldi, Paulo S. S. Rodrigues, Antonio Lopes A. Junior, Jaime S. Cardoso, and Jasjit S. Suri
    2011

2010

  1. Hybrid framework for evaluating video object tracking algorithms
    Pedro Carvalho, Jaime S. Cardoso, and Luis Corte-Real
    Electronics Letters, 2010
  2. Optical Recognition of Music Symbols: A Comparative Study
    Ana Rebelo, Artur Capela, and Jaime S. Cardoso
    International Journal on Document Analysis and Recognition, 2010
  3. An all-at-once Unimodal SVM Approach for Ordinal Classification
    Joaquim F. Pinto Costa, Ricardo Sousa, and Jaime S. Cardoso
    In Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA), 2010
  4. Classification Models with Global Constraints for Ordinal Data
    Jaime S. Cardoso and Ricardo Sousa
    In Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA), 2010
  5. Hierarchical Medical Image Annotation Using SVM-based Approaches
    Igor Amaral, Filipe Coelho, Joaquim F. Pinto Costa, and Jaime S. Cardoso
    In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010
  6. Improving the BCCT.core model with lateral information
    Helder P. Oliveira, Andre Magalhaes, Maria Joao Cardoso, and Jaime S. Cardoso
    In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010
  7. Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs
    Ines Domingues, Jaime S. Cardoso, Igor Amaral, Ines Moreira, Pedro Passarinho, Joao Santa Comba, Ricardo Correia, and Maria Joao Cardoso
    In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010
  8. Pectoral muscle detection in mammograms based on polar coordinates and the shortest path
    Jaime S. Cardoso, Ines Domingues, Igor Amaral, Ines Moreira, Pedro Passarinho, Joao Santa Comba, Ricardo Correia, and Maria Joao Cardoso
    In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010
  9. An accurate and interpretable model for BCCT.core
    Helder P. Oliveira, Andre Magalhaes, Maria Joao Cardoso, and Jaime S. Cardoso
    In Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010
  10. A New Linear Parametrisation for Peak Friction Coefficient Estimation in Real Time
    Ricardo Castro, Rui Esteves Araujo, Jaime S. Cardoso, and Diamantino Freitas
    In Proceedings of the IEEE Vehicle Power and Propulsion Conference, 2010
  11. Robust staffline thickness and distance estimation in binary and gray-level music scores
    Jaime S. Cardoso and Ana Rebelo
    In Proceedings of The Twentieth International Conference on Pattern Recognition (ICPR), 2010
  12. Value of photographic side-views in the objective evaluation of the aesthetic results of breast cancer conservative treatment
    Andre Magalhaes, Helder P. Oliveira, Susy Costa, Jaime S. Cardoso, and Maria Joao Cardoso
    Dec 2010
  13. A Preliminary Model to the Automatic Prediction of Aesthetic Results in Breast Cancer Conservative Treatment
    Susy Costa, Ricardo Sousa, Andre Magalhaes, Jaime S. Cardoso, and Maria Joao Cardoso
    Oct 2010
  14. Sistemas e Tecnologias de Informacao na Saude
    Jaime S. Cardoso and Maria Joao Cardoso
    2010

2009

  1. Comparing Two Objective Methods for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
    Maria Joao Cardoso, Jaime S. Cardoso, Thomas Wild, Wilfried Krois, and Florian Fitzal
    Breast Cancer Research and Treatment, 2009
  2. Partition-distance methods for assessing spatial segmentations of images and videos
    Jaime S. Cardoso, Pedro Carvalho, Luis F. Teixeira, and Luis Corte-Real
    Computer Vision and Image Understanding, 2009
  3. Staff Detection with Stable Paths
    Jaime S. Cardoso, Artur Capela, Ana Rebelo, Carlos Guedes, and Joaquim F. Pinto Costa
    IEEE Transactions Pattern Analysis Machine Intelligence, 2009
  4. An Ordinal Data Method for the Classification with Reject Option
    Ricardo Sousa, Beatriz Mora, and Jaime S. Cardoso
    In Proceedings of The Eighth International Conference on Machine Learning and Applications (ICMLA), 2009
  5. Stable Text Line Detection
    Jaime S. Cardoso
    In Proceedings of IEEE Workshop on Applications of Computer Vision (WACV) 2009, 2009
  6. The Evaluation of Usability of an Intelligent Medical System: BCCT.core
    Ana Paula Afonso, Jaime S. Cardoso, Maria Joao Cardoso, and Manuel Perez Cota
    In Information Technologies and Systems: Proceedings of the 4th Iberian Conference on Information Systems and Technologies, 2009
  7. Image Retargeting Using Stable Paths
    Helder P. Oliveira and Jaime S. Cardoso
    In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISAPP), 2009
  8. Breast Contour Detection with Stable Paths
    Jaime S. Cardoso, Ricardo Sousa, Luis F. Teixeira, and Maria Joao Cardoso
    In Biomedical Engineering Systems and Technologies, 2009
  9. Prediction Model of Asymmetry in Breast Cancer Conservative Treatment (BCCT)
    Susy Costa, Andre Magalhaes, Ricardo Sousa, Jaime S. Cardoso, and Maria Joao Cardoso
    2009
  10. Prediction of the aesthetic result in breast cancer conservative treatment
    Susy Costa, Ricardo Sousa, Jaime S. Cardoso, and Maria Joao Cardoso
    2009
  11. Aesthetic Results Evaluation of Reduction Mammaplasties in Breast Cancer Treatment
    Maria Joao Cardoso, Alexandre M. Munhoz, Douglas Macmillan, Teresa Almeida, Conny Vrieling, Jorgen Johansen, Giuseppe Catanuto, Mike Dixon, Susy Costa, and Jaime S. Cardoso
    2009

2008

  1. Is Face-Only Photographic View Enough for the Aesthetic Evaluation of Breast Cancer Conservative Treatment?
    Maria Joao Cardoso, Andre Magalhaes, Teresa Almeida, Susy Costa, Conny Vrieling, David Christie, Jorgen Johansen, and Jaime S. Cardoso
    Breast Cancer Research and Treatment, 2008
  2. The unimodal model for the classification of ordinal data
    Joaquim F. Pinto Costa, Hugo Alonso, and Jaime S. Cardoso
    Neural Networks, 2008
  3. Integrated Recognition System for Music Scores
    Artur Capela, Jaime S. Cardoso, Ana Rebelo, and Carlos Guedes
    In Proceedings of the International Computer Music Conference (ICMC), 2008
  4. Breast Contour Detection with Shape Priors
    Ricardo Sousa, Jaime S. Cardoso, Joaquim F. Pinto Costa, and Maria Joao Cardoso
    In 2008 15th IEEE International Conference on Image Processing, Vols 1-5, 2008
  5. A Connected Path Approach for Staff Detection on a Music Score
    Jaime S. Cardoso, Artur Capela, Ana Rebelo, and Carlos Guedes
    In Proceedings of the International Conference on Image Processing (ICIP), 2008
  6. Staff Line Detection and Removal with Stable Paths
    Artur Capela, Ana Rebelo, Jaime S. Cardoso, and Carlos Guedes
    In Proceedings of the International Conference on Signal Processing and Multimedia Applications (SIGMAP 2008), 2008
  7. Automatic System for the Recognition of Amounts in Handwritten Cheques
    Filipe Coelho, Luis Batista, Luis F. Teixeira, and Jaime S. Cardoso
    In Proceedings of the International Conference on Signal Processing and Multimedia Applications (SIGMAP 2008), 2008
  8. Automatic Breast Contour Detection in Digital Photographs
    Jaime S. Cardoso, Luis F. Teixeira, and Maria Joao Cardoso
    In Proceedings of the International Conference on Health Informatics (HEALTHINF), 2008
  9. Comparing two objective methods for the aesthetic evaluation of breast cancer conservative treatment
    Maria Joao Cardoso, Jaime S. Cardoso, Thomas Wild, Wilfried Krois, and Florian Fitzal
    Apr 2008
  10. Long-term cosmetic changes after breast conserving therapy for patients with stage I and II breast cancer treated in the EORTC “boost versus no boost” trial
    Marcelle Immink, Hein Putter, Job Visser, Harry Bartelink, Jaime S. Cardoso, Maria Joao Cardoso, Evert M. Noordijk, Philip M. Poortmans, Carla C. Warlam-Rodenhuis, and Henk Struikmans
    Apr 2008
  11. A comprehensive approach to measure cosmetic and functional results of breast conserving therapy - design and first results of a pilot study
    Joerg Heil, J. Brockhoff, G. Gebauer, E. Jenetzky, Maria Joao Cardoso, Jaime S. Cardoso, A. Stanton, and C. Sohn
    Apr 2008
  12. Sera Suficiente uma Fotografia Vista de Face para a Avaliacao do Resultado Estetico do Tratamento Conservador do Cancro da Mama?
    Maria Joao Cardoso, Jaime S. Cardoso, Conny Vrieling, David Christie, Jorgen Johansen, Susy Costa, and Teresa Almeida
    2008
  13. Is Asymmetry Enough for the Aesthetic Evaluation of Breast Cancer Conservative Treatment (BCCT)?
    Teresa Almeida, Andre Magalhaes, Filipe Coelho, Ricardo Sousa, Jaime S. Cardoso, and Maria Joao Cardoso
    2008

2007

  1. Matched filtering and parameter estimation of ringdown waveforms
    Emanuele Berti, Jaime S. Cardoso, Vitor Cardoso, and Marco Cavaglia
    Physical Review D, 2007
  2. Object segmentation using background modelling and cascaded change detection
    Luis F. Teixeira, Jaime S. Cardoso, and Luis Corte-Real
    Journal of Multimedia (JMM), 2007
  3. Turning subjective into objective: The BCCT.core software for evaluation of cosmetic results in breast cancer conservative treatment
    Maria Joao Cardoso, Jaime S. Cardoso, Natalia Amaral, Isabel Azevedo, Lise Barreau, Mario Bernardo, David Christie, Susy Costa, Florian Fitzal, Jose L. Fougo, and 8 more authors
    Breast, 2007
  4. Learning to classify ordinal data: the data replication method
    Jaime S. Cardoso and Joaquim F. Pinto Costa
    Journal of Machine Learning Research, 2007
  5. Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment
    Jaime S. Cardoso and Maria Joao Cardoso
    Artificial Intelligence in Medicine, 2007
  6. Factors Determining Esthetic Outcome after Breast Cancer Conservative Treatment
    Maria Joao Cardoso, Jaime S. Cardoso, A. C. Santos, Conny Vrieling, David Christie, G. Liljegren, Isabel Azevedo, Jorgen Johansen, Jose Rosa, Natalia Amaral, and 4 more authors
    Breast Journal, 2007
  7. A Shortest Path Approach for Staff Line Detection
    Ana Rebelo, Artur Capela, Joaquim F. Pinto Costa, Carlos Guedes, Eurico Carrapatoso, and Jaime S. Cardoso
    In Third International Conference on Automated Production of Cross Media Content for Multi-channel Distribution (AXMEDIS 2007), 2007
  8. Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment
    Jaime S. Cardoso and Maria Joao Cardoso
    In Springer Lecture Notes in Computer Science, Advances in Soft Computing 45, Computer Recognition Systems 2 CORES 2007: 5th International Conference on Computer Recognition Systems, Oct 2007
  9. Bandwidth-efficient byte stuffing
    Jaime S. Cardoso
    In IEEE International Conference on Communications (ICC 2007), 2007
  10. Object-based spatial segmentation of video guided by depth and motion information
    Jaime S. Cardoso, Jorge C. Cardoso, and Luis Corte-Real
    In IEEE Workshop on Motion and Video Computing (WMVC 2007), 2007
  11. Is face-view only enough for the aesthetic evaluation of breast cancer conservative treatment (BCCT)?
    Maria Joao Cardoso, Jaime S. Cardoso, Conny Vrieling, David Christie, Jorgen Johansen, Susy Costa, and Teresa Almeida
    Sep 2007

2006

  1. A measure for mutual refinements of image segmentations
    Jaime S. Cardoso and Luis Corte-Real
    IEEE Transactions on Image Processing, Aug 2006
  2. Interobserver agreement and consensus over the esthetic evaluation of conservative treatment for breast cancer
    Maria Joao Cardoso, Jaime S. Cardoso, A. C. Santos, H. Barros, and M. C. Oliveira
    The Breast, Feb 2006
  3. Automatic Speaker Segmentation Using Multiple Features and Distance Measures: A Comparison of Three Approaches
    Margarita Kotti, Luis Gustavo Martins, Emmanouil Benetos, Jaime S. Cardoso, and Constantine Kotropoulos
    In Proceedings of International Conference on Multimedia & Expo (ICME), 2006
  4. Towards a computer-aided medical system for the aesthetic evaluation of breast cancer conservative treatment
    Maria Joao Cardoso and Jaime S. Cardoso
    Dec 2006

2005

  1. Accumulator size minimization for a fast cumulant-based motion estimation
    Jaime S. Cardoso and Luis Corte-Real
    IEEE Transactions on Circuits and Systems for Video Technology, Dec 2005
  2. Toward a Generic Evaluation of Image Segmentation
    Jaime S. Cardoso and Luis Corte-Real
    IEEE Transactions on Image Processing, Nov 2005
  3. Modelling ordinal relations with SVMs: an application to Objective Aesthetic Evaluation of Breast Cancer Conservative Treatment
    Jaime S. Cardoso, Joaquim F. Pinto Costa, and Maria Joao Cardoso
    Neural Networks, Jun 2005
  4. Choosing observers for evaluation of aesthetic results in breast cancer conservative treatment
    Maria Joao Cardoso, A. C. Santos, Jaime S. Cardoso, H. Barros, and M. C. Oliveira
    International Journal of Radiation Oncology*Biology*Physics, Mar 2005
  5. Classification of Ordinal Data Using Neural Networks
    Joaquim F. Pinto Costa and Jaime S. Cardoso
    In Proceedings of European Conference on Machine Learning (ECML), 2005
  6. SVMs Applied to Objective Aesthetic Evaluation of Conservative Breast Cancer Treatment
    Jaime S. Cardoso, Joaquim F. Pinto Costa, and Maria Joao Cardoso
    In Proceedings of International Joint Conference on Neural Networks (IJCNN) 2005, 2005

2004

  1. Aesthetic evaluation of conservative breast cancer treatment: new scales of agreement or disagreement?
    Maria Joao Cardoso, I. Leitao, A. J. Moura, A. C. Santos, Jaime S. Cardoso, H. Barros, and M. C. Oliveira
    Mar 2004
  2. Aesthetic evaluation of conservative breast cancer treatment. Can measuring help?
    Maria Joao Cardoso, I. Leitao, A. J. Moura, A. C. Santos, Jaime S. Cardoso, H. Barros, and M. C. Oliveira
    Mar 2004

2003

  1. Aesthetic evaluation of conservative breast cancer treatment: development of a new evaluating tool
    Maria Joao Cardoso, I. Leitao, A. J. Moura, F. Valente, L. M. Lima, Jaime S. Cardoso, and M. C. Oliveira
    Jun 2003

2002

  1. The Application of Intimate Metadata in Post Production
    P. W. Walland, G. Thomas, M. Koppetz, Jaime S. Cardoso, T. Erseghe, and F. Hericourt
    In Proceedings of Int. Broadcasting Convention (IBC 2002), Sep 2002
  2. Aesthetic evaluation of conservative breast cancer treatment: trying to optimize results
    Maria Joao Cardoso, J. Preto, H. Queiros, V. Garrido, A. J. Moura, J. Pinto-de-Sousa, D. Ayres-de-Campos, and Jaime S. Cardoso
    Mar 2002

2000

  1. FPGAs based hardware applied to block-based motion estimation for real-time video processing
    Jaime S. Cardoso, Jose Carlos Alves, and Luis Corte-Real
    In Proceedings of 11th Portuguese Conference on Pattern Recognition (RECPAD2000), May 2000

1999

  1. Utilizacao de DGPS para a Monitorizacao de Frotas em Ambiente Urbano
    Telmo Cunha, Phillip Tome, Sergio Cunha, Jaime S. Cardoso, and Luisa Bastos
    In Actas da 2 Conferencia Nacional de Cartografia e Geodesia, Sep 1999