Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. - Benoit Anctil-Robitaille; Antoine Théberge; Pierre-Marc Jodoin; Maxime Descoteaux; Christian Desrosiers; Hervé Lombaert (CoRR, 2021)

Track-to-Learn: A general framework for tractography with deep reinforcement learning. - Antoine Théberge; Christian Desrosiers; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2021)

What Matters in Reinforcement Learning for Tractography. - Antoine Théberge; Christian Desrosiers; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2023)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)

TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography. - Antoine Théberge; Maxime Descoteaux; Pierre-Marc Jodoin (MICCAI (2), 2024)

What matters in reinforcement learning for tractography. - Antoine Théberge; Christian Desrosiers; Arnaud Boré; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2024)

Exploring the robustness of TractOracle methods in RL-based tractography. - Jeremi Levesque; Antoine Théberge; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2025)