From post

Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation.

, , , , , , и . ICIAP Workshops (1), том 13373 из Lecture Notes in Computer Science, стр. 419-430. Springer, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Towards an Understanding of Neural Networks in Natural-Image Spaces., и . CoRR, (2018)Region Matching with Missing Parts., , , и . ECCV (3), том 2352 из Lecture Notes in Computer Science, стр. 48-64. Springer, (2002)4D Active Surfaces for Cardiac Analysis., и . MICCAI (1), том 2488 из Lecture Notes in Computer Science, стр. 667-673. Springer, (2002)Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images., , и . Journal of Mathematical Imaging and Vision, 29 (2-3): 219-234 (2007)Incorporating global information in active contour models., и . CompIMAGE, стр. 53-62. CRC Press, (2012)Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah., , , и . Scale-Space, том 2695 из Lecture Notes in Computer Science, стр. 615-624. Springer, (2003)Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications., , и . ICIP, стр. 588-591. IEEE, (2000)Feature-Preserving Flows: A Stochastic Differential Equation's View., , и . ICIP, стр. 896-899. IEEE, (2000)A second-order PDE technique to construct distance functions with more accurate derivatives., и . ICIP (1), стр. 873-876. IEEE, (2003)Fast Mumford-Shah segmentation using image scale space bases., и . Computational Imaging, том 6498 из SPIE Proceedings, стр. 64980F. SPIE, (2007)