Skin Lesion Synthesis with Generative Adversarial Networks. - Alceu Bissoto; Fábio Perez; Eduardo Valle; Sandra Avila (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018. - Alceu Bissoto; Fábio Perez; Vinícius Ribeiro; Michel Fornaciali; Sandra Avila; Eduardo Valle (CoRR, 2018)

(De)Constructing Bias on Skin Lesion Datasets. - Alceu Bissoto; Michel Fornaciali; Eduardo Valle; Sandra Avila (CVPR Workshops, 2019)

The Six Fronts of the Generative Adversarial Networks. - Alceu Bissoto; Eduardo Valle; Sandra Avila (CoRR, 2019)

Debiasing Skin Lesion Datasets and Models? Not So Fast. - Alceu Bissoto; Eduardo Valle; Sandra Avila (CVPR Workshops, 2020)

GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review. - Alceu Bissoto; Eduardo Valle; Sandra Avila (CVPR Workshops, 2021)

Artifact-Based Domain Generalization of Skin Lesion Models. - Alceu Bissoto; Catarina Barata; Eduardo Valle; Sandra Avila (ECCV Workshops (4), 2022)

An Evaluation of Self-supervised Pre-training for Skin-Lesion Analysis. - Levy G. Chaves; Alceu Bissoto; Eduardo Valle; Sandra Avila (ECCV Workshops (4), 2022)

Test-Time Selection for Robust Skin Lesion Analysis. - Alceu Bissoto; Catarina Barata; Eduardo Valle; Sandra Avila (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

The Performance of Transferability Metrics Does Not Translate to Medical Tasks. - Levy G. Chaves; Alceu Bissoto; Eduardo Valle; Sandra Avila (DART@MICCAI, 2023)

Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes. - Carlos Santiago; Miguel Correia 001; Maria Rita Verdelho; Alceu Bissoto; Catarina Barata (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

A survey on deep learning for skin lesion segmentation. - Zahra Mirikharaji; Kumar Abhishek 001; Alceu Bissoto; Catarina Barata; Sandra Avila; Eduardo Valle; M. Emre Celebi 001; Ghassan Hamarneh (Medical Image Anal., 2023)

Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis. - D. J. Araújo; Maria Rita Verdelho; Alceu Bissoto; J. C. Nascimento; Carlos Santiago; Catarina Barata (CVPR Workshops, 2024)

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems. - Tiago Mota; Maria Rita Verdelho; Diogo J. Araújo; Alceu Bissoto; Carlos Santiago; Catarina Barata (CVPR Workshops, 2024)

BiasPruner: Debiased Continual Learning for Medical Image Classification. - Nourhan Bayasi; Jamil Fayyad; Alceu Bissoto; Ghassan Hamarneh; Rafeef Garbi (MICCAI (10), 2024)

Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers. - Rosa Y. G. Paccotacya Yanque; Alceu Bissoto; Sandra Avila (SIPAIM, 2024)

XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision. - Miguel Correia 001; Alceu Bissoto; Carlos Santiago; Catarina Barata (CoRR, 2024)

Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis. - Diogo J. Araújo; Maria Rita Verdelho; Alceu Bissoto; Jacinto C. Nascimento; Carlos Santiago; Catarina Barata (CoRR, 2024)

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems. - Tiago Mota; Maria Rita Verdelho; Alceu Bissoto; Carlos Santiago; Catarina Barata (CoRR, 2024)

Back to the Basics on Predicting Transfer Performance. - Levy G. Chaves; Eduardo Valle; Alceu Bissoto; Sandra Avila (CoRR, 2024)

Even small correlation and diversity shifts pose dataset-bias issues. - Alceu Bissoto; Catarina Barata; Eduardo Valle; Sandra Avila (Pattern Recognit. Lett., 2024)

BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysis. - Nourhan Bayasi; Jamil Fayyad; Alceu Bissoto; Ghassan Hamarneh; Rafeef Garbi (Medical Image Anal., 2025)

Subgroup Performance Analysis in Hidden Stratifications. - Alceu Bissoto; Trung-Dung Hoang; Tim Flühmann; Susu Sun; Christian F. Baumgartner; Lisa M. Koch (CoRR, 2025)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference. - Trung-Dung Hoang; Alceu Bissoto; Vihangkumar V. Naik; Tim Flühmann; Artemii Shlychkov; Jose Garcia-Tirado; Lisa M. Koch (CoRR, 2025)

Label-free estimation of clinically relevant performance metrics under distribution shifts. - Tim Flühmann; Alceu Bissoto; Trung-Dung Hoang; Lisa M. Koch (CoRR, 2025)