Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations

20 March 2022

Papers citing "Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations"

7 / 7 papers shown

Title
Patient-Specific Dynamic Digital-Physical Twin for Coronary Intervention Training: An Integrated Mixed Reality Approach Shuo Wang Tong Ren Nan Cheng Rong Wang Li Zhang 12 0 0 16 May 2025
Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: A New Visualization Tool for Coronary Artery Bypass Grafting Planning S. Wang Tong Ren Nan Cheng Li Zhang Rong Wang 19 1 0 28 Apr 2025
Topology-Preserving Loss for Accurate and Anatomically Consistent Cardiac Mesh Reconstruction Chenyu Zhang Yihao Luo Yinzhe Wu Choon Hwai Yap Guang Yang 49 0 0 10 Mar 2025
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI Nicolás Gaggion Benjamin A. Matheson Yan Xia Rodrigo Bonazzola Nishant Ravikumar Zeike A. Taylor Diego H. Milone Alejandro F. Frangi Enzo Ferrante 35 3 0 22 Nov 2023
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates Minghua Liu Minhyuk Sung R. Měch Hao Su 3DH 51 35 0 18 Feb 2021
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction Fanwei Kong N. Wilson S. Shadden MedIm AI4CE 55 82 0 16 Feb 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,240 0 24 Nov 2016