Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. - Alexandre Momeni; Marc Thibault; Olivier Gevaert (BrainLes@MICCAI (1), 2018)

ColorUNet: A convolutional classification approach to colorization. - Vincent Billaut; Matthieu de Rochemonteix; Marc Thibault (CoRR, 2018)

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. - Sai Chowdary Gullapally; Yibo Zhang; Nitin Kumar Mittal; Deeksha Kartik; Sandhya Srinivasan; Kevin Rose; Daniel Shenker; Dinkar Juyal; Harshith Padigela; Raymond Biju; Victor Minden; Chirag Maheshwari; et al. (CoRR, 2023)

PLUTO: Pathology-Universal Transformer. - Dinkar Juyal; Harshith Padigela; Chintan Shah; Daniel Shenker; Natalia Harguindeguy; Yi Liu; Blake Martin; Yibo Zhang; Michael Nercessian; Miles Markey; Isaac Finberg; Kelsey Luu; et al. (CoRR, 2024)

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. - Mathieu Andreux; Breno Baldas Skuk; Hamza Benchekroun; Emilien Biré; Antoine Bonnet; Riaz Bordie; Nathan Bout; Matthias Brunel; Pierre-Louis Cedoz; Antoine Chassang; Mickaël Chen; Alexandra D. Constantinou; et al. (CoRR, 2025)