Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021

6 December 2021

Papers citing "Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021"

6 / 6 papers shown

Title
Fidelity-Imposed Displacement Editing for the Learn2Reg 2024 SHG-BF Challenge Jiacheng Wang Xiang Chen Renjiu Hu Rongguang Wang Min Liu Min Liu Yaonan Wang Hao Li 24 0 0 28 Oct 2024
CARL: A Framework for Equivariant Image Registration Hastings Greer Lin Tian François-Xavier Vialard Roland Kwitt R. Estépar Marc Niethammer 3DPC MedIm 27 0 0 27 May 2024
On-the-Fly Guidance Training for Medical Image Registration Yuelin Xin Yicheng Chen Shengxiang Ji Kun Han Xiaohui Xie OOD 23 1 0 29 Aug 2023
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 28 36 0 28 Jul 2023
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration Junyu Chen Yihao Liu Yufan He Yong Du ViT MedIm 21 4 0 10 Mar 2023
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning Alessa Hering Lasse Hansen Tony C. W. Mok Albert C. S. Chung H. Siebert ... K. Murphy Nikolas Lessmann Bram van Ginneken Adrian V. Dalca M. Heinrich 18 180 0 08 Dec 2021