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Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images

Dongming Wei
Zhengwang Wu
Gang Li
Xiaohuan Cao
Dinggang Shen
Qian Wang
ArXiv (abs)PDFHTML

Papers citing "Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images"

3 / 3 papers shown
Title
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
Mingyuan Meng
M. Fulham
Da-wei Feng
Lei Bi
Jinman Kim
MedIm
91
5
0
11 Sep 2023
U-Net and its variants for medical image segmentation: theory and applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
114
1,100
0
02 Nov 2020
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Yujia Zhou
Shumao Pang
Jun Cheng
Yuhang Sun
Yi Wu
Lei Zhao
Yaqin Liu
Zhentai Lu
Wei Yang
Qianjin Feng
OODMedIm
55
2
0
16 Apr 2020

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