DWARF: Disease-Weighted Network for Attention Map Refinement. - Haozhe Luo; Aurélie Pahud de Mortanges; Oana Inel; Mauricio Reyes 001 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. - Shelley Zixin Shu; Aurélie Pahud de Mortanges; Alexander Poellinger; Dwarikanath Mahapatra; Mauricio Reyes 001 (UNSURE@MICCAI, 2024)

Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. - Junlin Yang; John Anderson Garcia Henao; Nicha C. Dvornek; Jianchun He; Danielle V. Bower; Arno Depotter; Herkus Bajercius; Aurélie Pahud de Mortanges; Chenyu You; Christopher Gange; Roberta Eufrasia Ledda; Mario Silva; et al. (Comput. Medical Imaging Graph., 2024)

DWARF: Disease-weighted network for attention map refinement. - Haozhe Luo; Aurélie Pahud de Mortanges; Oana Inel; Abraham Bernstein; Mauricio Reyes 001 (CoRR, 2024)

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. - Aurélie Pahud de Mortanges; Haozhe Luo; Shelley Zixin Shu; Amith Kamath; Yannick Suter; Mohamed Shelan; Alexander Poellinger; Mauricio Reyes 001 (npj Digit. Medicine, 2024)

On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging. - Haozhe Luo; Ziyu Zhou; Shelley Zixin Shu; Aurélie Pahud de Mortanges; Robert Berke; Mauricio Reyes 001 (CoRR, 2025)