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Denoising Moving Heart Wall Fibers Using Cartan Frames.

, , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 672-680. Springer, (2017)

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Denoising Moving Heart Wall Fibers Using Cartan Frames., , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 672-680. Springer, (2017)Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis., , , , and . CoRR, (March 2025)Geometric Disentanglement for Generative Latent Shape Models., , , and . ICCV, page 8180-8189. IEEE, (2019)Cartan Frames for Heart Wall Fiber Motion., , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 32-41. Springer, (2017)Probabilistic Directed Distance Fields for Ray-Based Shape Representations., , , and . CoRR, (2024)On Disentangled Analysis-by-Synthesis Shape Representations. University of Toronto, Canada, (2024)GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks., , , and . WACV, page 2432-2441. IEEE, (2022)Disentangling Geometric Deformation Spaces in Generative Latent Shape Models., , , and . Int. J. Comput. Vis., 131 (7): 1611-1641 (July 2023)Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor., , , , , , , , and . BMC Bioinform., (2014)Representing 3D Shapes with Probabilistic Directed Distance Fields., , , and . CVPR, page 19321-19332. IEEE, (2022)