Publisher
Springer Nature Switzerland
Reference31 articles.
1. Lecture Notes in Computer Science;J Adams,2020
2. Adams, J., Elhabian, S.: From images to probabilistic anatomical shapes: a deep variational bottleneck approach. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. LNCS, vol. 13432. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16434-7_46
3. Adams, J., Elhabian, S.: Point2SSM: Learning morphological variations of anatomies from point cloud (2023). arXiv preprint arXiv:2305.14486
4. Adams, J., Elhabian, S.Y.: Fully Bayesian VIB-DeepSSM. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. LNCS, vol. 14222. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-43898-1_34
5. Aziz, A.Z.B., Adams, J., Elhabian, S.: Progressive DeepSSM: training methodology for image-to-shape deep models. In: Wachinger, C., Paniagua, B., Elhabian, S., Li, J., Egger, J. (eds.) Shape in Medical Imaging. ShapeMI 2023. LNCS, vol. 14350. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-46914-5_13