Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images. - Devavrat Tomar; Lin Zhang 031; Tiziano Portenier; Orcun Goksel (MICCAI (8), 2021)

Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation. - Devavrat Tomar; Manana Lortkipanidze; Guillaume Vray; Behzad Bozorgtabar; Jean-Philippe Thiran (IEEE Trans. Medical Imaging, 2021)

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift. - Devavrat Tomar; Guillaume Vray; Jean-Philippe Thiran; Behzad Bozorgtabar (MIDL, 2022)

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. - Devavrat Tomar; Behzad Bozorgtabar; Manana Lortkipanidze; Guillaume Vray; Mohammad Saeed Rad; Jean-Philippe Thiran (WACV, 2022)

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation. - Devavrat Tomar; Guillaume Vray; Behzad Bozorgtabar; Jean-Philippe Thiran (CVPR, 2023)

SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. - Suhang You; Devavrat Tomar; Behzad Bozorgtabar; Mauricio Reyes 001 (ISBI, 2023)

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer. - Guillaume Vray; Devavrat Tomar; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2023)

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation. - Devavrat Tomar; Guillaume Vray; Jean-Philippe Thiran; Behzad Bozorgtabar (ICLR, 2024)

Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. - Guillaume Vray; Devavrat Tomar; Behzad Bozorgtabar; Jean-Philippe Thiran (IEEE Trans. Medical Imaging, 2024)

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. - Devavrat Tomar; Guillaume Vray; Dwarikanath Mahapatra; Sudipta Roy 002; Jean-Philippe Thiran; Behzad Bozorgtabar (ISBI, 2025)

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains. - Guillaume Vray; Devavrat Tomar; Xufeng Gao; Jean-Philippe Thiran; Evan Shelhamer; Behzad Bozorgtabar (CoRR, 2025)