Antoine Théberge

Portrait of Antoine Théberge
PhD student in the VITAL of Université de Sherbrooke and the SCIL of Université de Sherbrooke. Most of my research and academic interests are centered around Reinforcement Learning, Diffusion MRI, Deep Learning and Tractography.

Links

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OpenReview
ORCID
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GitHub

Conference notes

Publications and contributed talks, posters

  1. Théberge, A., Jodoin, P. M & .Descoteaux, M., & Jones, Derek. Feb. 2026. TTL-FOD2: Reinforcement-Learning Tractography That Works with Clinical-Scale Diffusion Directions. ISMRM White Matter & Diffusion Study Groups: 24 Hours of Microstructure.
  2. Théberge, A., Descoteaux, M. & Jodoin, P. M. (2026). BundleParc: automatic white matter bundle parcellation for tractometry without tractography. Medical Image Analysis, 104087.
  3. Renauld, E., Boré, A., Poirier, C., Valcourt-Caron, A., Karan, P., Théberge, A., ... & Descoteaux, M. (2026). Tractography analysis with the scilpy toolbox. Aperture Neuro, 6.
  4. Théberge, A., Jodoin, P. M., Yang, J., Descoteaux, M. & Rheault, F. (2025). BundleParc: automatic bundle parcellation in tumor data (Oral). In International Society for Tractography conference.
  5. Levesque, J., Théberge, A., Descoteaux, M., & Jodoin, P. M. (2025). Exploring the robustness of TractOracle methods in RL-based tractography. Medical Image Analysis, 103743.
  6. Théberge, A., El Yamani, Z., Rheault, F., Descoteaux, M. & Jodoin, P. M. (2025). LabelSeg: Automatic Tract Labelling Without Tractography. In International Society for Magnetic Resonance in Medicine (ISMRM) Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives.
  7. Zhang, F., Théberge, A., Jodoin, P. M., Descoteaux, M., & O’Donnell, L. J. (2025). Think deep in the tractography game: deep learning for tractography computing and analysis. Brain Structure and Function, 230(6), 100.
  8. Théberge, A., Descoteaux, M., & Jodoin, P. M. (2024, October). TractOracle: towards an anatomically-informed reward function for RL-based tractography (Oral). In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (pp. 476-486). Cham: Springer Nature Switzerland.
  9. Théberge, A., Descoteaux, M., & Jodoin, P. M. (2024). What matters in reinforcement learning for tractography. Medical Image Analysis, 93, 103085.
  10. Edde, M., Theaud, G., Dumont, M., Théberge, A., Valcourt‐Caron, A., Gilbert, G., ... & Descoteaux, M. (2023). High‐frequency longitudinal white matter diffusion‐and myelin‐based MRI database: Reliability and variability. Human Brain Mapping, 44(9), 3758-3780.
  11. Renauld, E., Théberge, A., Petit, L., Houde, J. C., & Descoteaux, M. (2023). Validate your white matter tractography algorithms with a reappraised ISMRM 2015 Tractography Challenge scoring system. Scientific Reports, 13(1), 2347.
  12. Théberge, A., Poirier, C., Jodoin, P. M., & Descoteaux, M. (2022). Incorporating Anatomical Priors into Track-to-Learn. In International Society for Magnetic Resonance in Medicine (ISMRM) Diffusion Workshop: from research to clinic.
  13. Théberge, A., Desrosiers, C., Jodoin, P. M., & Descoteaux, M. (2022). The do's and don'ts of reinforcement learning for tractography. In Medical Imaging with Deep Learning (MIDL).
  14. Rheault, F., Schilling, K. G., Valcourt‐Caron, A., Théberge, A., Poirier, C., Grenier, G., ... & Landman, B. A. (2022). Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination. Human Brain Mapping, 43(7), 2134-2147.
  15. Anctil-Robitaille, B., Théberge, A., Jodoin, P. M., Descoteaux, M., Desrosiers, C., & Lombaert, H. (2022). Manifold-aware synthesis of high-resolution diffusion from structural imaging. Frontiers in Neuroimaging, 1, 930496.
  16. Edde, M., Theaud, G., Dumont, M., Théberge, A., Valcourt-Caron, A., Magon, S., & Descoteaux, M. (2022). Measures of reliability in high frequency longitudinal white matter multi-shell diffusion and inhomogeneous magnetization transfer database. Proceedings of ISMRM (International Society for Magnetic Resonance in Medicine), 4455.
  17. Théberge, A., Desrosiers, C., Jodoin, P. M., & Descoteaux, M. (2021). Track-To-Learn: A general framework for tractography with deep reinforcement learning (Oral). In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting 2021.
  18. Théberge, A., Desrosiers, C., Descoteaux, M., & Jodoin, P. M. (2021). Track-to-Learn: A general framework for tractography with deep reinforcement learning. Medical Image Analysis, 72, 102093.

Invited talks

  1. Anatomically-Informed Brain Tractography via Advanced Reinforcement Learning Techniques (2023). Workshop in Medical Imaging with Deep Learning, Montréal, Canada.
  2. Apprendre à reconstruire (virtuellement) le cerveau humain (2022). 11e Journée scientifique Neurosciences Sherbrooke, Sherbrooke, Québec.
  3. Reconstruire la matière blanche avec l’apprentissage par renforcement (2021). Colloque REPARTI, Québec, Québec.

Scholarships & Awards

Scientific outreach

Education

Conferences & Workshops (Organization & Session Roles)

Student associations

Teaching and TA work

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