1
TÍTULO: Enhancing Cross-Modal Medical Image Segmentation Through Compositionality
AUTORES: Aniek Eijpe; Valentina Corbetta; Kalina Chupetlovska; Regina Beets-Tan; Wilson Silva;
PUBLICAÇÃO: 2024, FONTE: Lecture Notes in Computer Science - Deep Generative Models
INDEXADO EM: CrossRef
NO MEU: ORCID
2
TÍTULO: Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
AUTORES: Montenegro, Helena; Silva, Wilson; Cardoso, Jaime S. ;
PUBLICAÇÃO: 2023, FONTE: 1st Workshop on Medical Applications with Disentanglements (MAD) at the MICCAI Conference in MEDICAL APPLICATIONS WITH DISENTANGLEMENTS, MAD 2022, VOLUME: 13823
INDEXADO EM: Scopus WOS DBLP CrossRef
3
TÍTULO: Deep Learning Strategies For Rare Drug Mechanism of Action Prediction
AUTORES: Ferreira, Goncalo; Teixeira, Marco; Belo, Raquel; Silva, Wilson; Cardoso, Jaime S. ;
PUBLICAÇÃO: 2023, FONTE: International Joint Conference on Neural Networks (IJCNN) in 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, VOLUME: 2023-June
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
NO MEU: ORCID
4
TÍTULO: Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data
AUTORES: Daniel Silva ; Georgios Agrotis; Regina Beets Tan; Luis F. Teixeira ; Wilson Silva;
PUBLICAÇÃO: 2023, FONTE: 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 in International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023
INDEXADO EM: Scopus DBLP CrossRef Unpaywall
NO MEU: ORCID
5
TÍTULO: Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
AUTORES: Valentina Corbetta; Regina Beets-Tan; Wilson Silva;
PUBLICAÇÃO: 2023, FONTE: Lecture Notes in Computer Science - Machine Learning in Medical Imaging
INDEXADO EM: CrossRef
NO MEU: ORCID
6
TÍTULO: Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing
AUTORES: Jaime S Cardoso ; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu ; Ivana Isgum; Wilson Silva; Ricardo Cruz; José Pereira Amorim; Vishal Patel; Badri Roysam; Kevin K Zhou; Steve B Jiang; Ngan Le; Khoa Luu; Raphael Sznitman; Veronika Cheplygina; Diana Mateus; Emanuele Trucco; Samaneh Abbasi Sureshjani;
PUBLICAÇÃO: 2020, FONTE: 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, VOLUME: 12446
INDEXADO EM: DBLP CrossRef: 2
NO MEU: ORCID