1 code implementation • 9 Mar 2024 • Lin Tian, Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Raul San Jose Estepar, Sylvain Bouix, Richard Rushmore, Marc Niethammer
We therefore propose uniGradICON, a first step toward a foundation model for registration providing 1) great performance \emph{across} multiple datasets which is not feasible for current learning-based registration methods, 2) zero-shot capabilities for new registration tasks suitable for different acquisitions, anatomical regions, and modalities compared to the training dataset, and 3) a strong initialization for finetuning on out-of-distribution registration tasks.
1 code implementation • 28 Apr 2023 • Hastings Greer, Lin Tian, Francois-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raul San Jose Estepar, Richard Rushmore, Marc Niethammer
Inverse consistency is a desirable property for image registration.
1 code implementation • CVPR 2023 • Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration.
2 code implementations • 13 Jun 2022 • Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration.
no code implementations • 4 Oct 2021 • Guillermo Gallardo, Gaston Zanitti, Mat Higger, Sylvain Bouix, Demian Wassermann
Inferring which pathways are affected by a brain lesion is key for both pre and post-treatment planning.