Publications

Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination

Published in Human brain mapping, 2022

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Recommended citation: Francois Rheault, Kurt Schilling, Alex Valcourt-Caron, Antoine Th{\'e}berge, Charles Poirier, Gabrielle Grenier, Guido Guberman, John Begnoche, Jon Legarreta, Leon Y, "Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination." Human brain mapping, 2022.

The do's and don'ts of reinforcement learning for tractography

Published in In the proceedings of Medical Imaging with Deep Learning, 2022

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Recommended citation: Antoine Theberge, Christian Desrosiers, Pierre-marc Jodoin, Maxime Descoteaux, "The do's and don'ts of reinforcement learning for tractography." In the proceedings of Medical Imaging with Deep Learning, 2022.

Where do streamlines come from? Seeding strategies impact on streamline distribution

Published in In the proceedings of International Society for Magnetic Resonance Imaging in Medicine, 2021

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Recommended citation: Manon Edde, Etienne St-Onge, Antoine Th{\'e}berge, Guillaume Theaud, Emmanuelle Renauld, Maxime Descoteaux, "Where do streamlines come from? Seeding strategies impact on streamline distribution." In the proceedings of International Society for Magnetic Resonance Imaging in Medicine, 2021.

Track-to-Learn: A general framework for tractography with deep reinforcement learning

Published in Medical Image Analysis, 2021

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Recommended citation: Antoine Th{\'e}berge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin, "Track-to-Learn: A general framework for tractography with deep reinforcement learning." Medical Image Analysis, 2021.

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging

Published in arXiv preprint arXiv:2108.04135, 2021

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Recommended citation: Benoit Anctil-Robitaille, Antoine Th{\'e}berge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Herv{\'e} Lombaert, "Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging." arXiv preprint arXiv:2108.04135, 2021.

Track-To-Learn: A general framework for tractography with deep reinforcement learning

Published in bioRxiv, 2020

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Recommended citation: Antoine Th{\'e}berge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin, "Track-To-Learn: A general framework for tractography with deep reinforcement learning." bioRxiv, 2020.

Antoine Théberge

Publications

Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination

The do's and don'ts of reinforcement learning for tractography

Where do streamlines come from? Seeding strategies impact on streamline distribution

Track-to-Learn: A general framework for tractography with deep reinforcement learning

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging

Track-To-Learn: A general framework for tractography with deep reinforcement learning