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2020 – today
- 2024
[c22]Margarida Vieira, Tiago Gonçalves, Wilson Silva, Ana Filipa Sequeira:
An End-to-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection. BIOSIG 2024: 1-6- [c21]Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova, Wilson Silva:
Towards Case-based Interpretability for Medical Federated Learning. EMBC 2024: 1-4 - [c20]Isabela Miranda, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva:
Anatomical Concept-based Pseudo-labels for Increased Generalizability in Breast Cancer Multi-center Data. EMBC 2024: 1-4 - [c19]Lena Stelter, Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation. EMBC 2024: 1-4 - [c18]Filipe Campos, Liliana Petrychenko, Luís F. Teixeira, Wilson Silva:
Latent diffusion models for Privacy-preserving Medical Case-based Explanations. EXPLIMED@ECAI 2024 - [c17]Aniek Eijpe
, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva:
Enhancing Cross-Modal Medical Image Segmentation Through Compositionality. DGM4MICCAI@MICCAI 2024: 43-53 - [c16]Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 246-255 - [c15]Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Lara Lloret Iglesias, Wilson Silva:
Multi-task Learning Approach for Intracranial Hemorrhage Prognosis. MLMI@MICCAI (2) 2024: 12-21 - [i8]Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Lara Lloret Iglesias, Wilson Silva:
Multi-task Learning Approach for Intracranial Hemorrhage Prognosis. CoRR abs/2408.08784 (2024) - [i7]Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation. CoRR abs/2408.11701 (2024) - [i6]Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva:
Enhancing Cross-Modal Medical Image Segmentation through Compositionality. CoRR abs/2408.11733 (2024) - [i5]Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova, Wilson Silva:
Towards Case-based Interpretability for Medical Federated Learning. CoRR abs/2408.13626 (2024) - 2023
- [j4]Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco:
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. Mach. Vis. Appl. 34(1): 16 (2023) - [c14]Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva:
Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data. ICMLA 2023: 1412-1417 - [c13]Rhuan Viana, Rebecca Souza, Wilson Silva, Flavia Camila Morais Oliveira, Leonardo Tiago, Lennon Chaves:
Assertive Wiki: An Experience Report In The Industry on the Redesign of Software Requirements Documentation. ICSIE 2023: 22-30 - [c12]Gonçalo Ferreira, Marco Teixeira, Raquel Belo, Wilson Silva, Jaime S. Cardoso:
Deep Learning Strategies For Rare Drug Mechanism of Action Prediction. IJCNN 2023: 1-7 - [c11]Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. MLMI@MICCAI (1) 2023: 330-340 - [e2]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i4]Valentina Corbetta, Regina Beets-Tan, Wilson Silva:
Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. CoRR abs/2308.15881 (2023) - 2022
- [b1]Wilson Silva:
Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes. University of Porto, Portugal, 2022 - [j3]Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso:
Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. IEEE Access 10: 28333-28347 (2022) - [c10]Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso:
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes. IbPRIA 2022: 108-118 - [c9]Diogo Mata, Wilson Silva, Jaime S. Cardoso:
Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization. IbPRIA 2022: 119-128 - [c8]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations. MAD@MICCAI 2022: 33-45 - [i3]Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso:
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes. CoRR abs/2205.12611 (2022) - [i2]Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana Filipa Sequeira, Arun Ross, Jaime S. Cardoso:
Explainable Biometrics in the Age of Deep Learning. CoRR abs/2208.09500 (2022) - 2021
- [j2]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis. IEEE Access 9: 148037-148047 (2021) - [j1]Ana Filipa Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso:
An exploratory study of interpretability for face presentation attack detection. IET Biom. 10(4): 441-455 (2021) - [i1]Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Towards Privacy-preserving Explanations in Medical Image Analysis. CoRR abs/2107.09652 (2021) - 2020
- [c7]Ana Filipa Sequeira, Wilson Silva, João Ribeiro Pinto, Tiago Gonçalves, Jaime S. Cardoso:
Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? IWBF 2020: 1-6 - [c6]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c5]Wilson Silva, Alexander Pollinger, Jaime S. Cardoso, Mauricio Reyes:
Interpretability-Guided Content-Based Medical Image Retrieval. MICCAI (1) 2020: 305-314 - [e1]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents]
2010 – 2019
- 2019
- [c4]Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso:
How to produce complementary explanations using an Ensemble Model. IJCNN 2019: 1-8 - [c3]Wilson Silva, Eduardo Castro, Maria João Cardoso, Florian Fitzal, Jaime S. Cardoso:
Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. ISBI 2019: 1082-1086 - 2018
- [c2]Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso:
A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. IJCNN 2018: 1-8 - [c1]Wilson Silva, Kelwin Fernandes, Maria João Cardoso, Jaime S. Cardoso:
Towards Complementary Explanations Using Deep Neural Networks. MLCN/DLF/iMIMIC@MICCAI 2018: 133-140
Coauthor Index
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