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MvMM-RegNet: A new image registration framework based on multivariate
  mixture model and neural network estimation

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

28 June 2020
Xinzhe Luo
Xiahai Zhuang
ArXivPDFHTML

Papers citing "MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation"

4 / 4 papers shown
Title
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
19
2
0
20 Dec 2023
A persistent homology-based topological loss for CNN-based multi-class
  segmentation of CMR
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Nicholas Byrne
J. Clough
I. Valverde
Giovanni Montana
A. King
31
25
0
27 Jul 2021
Multi-class probabilistic atlas-based whole heart segmentation method in
  cardiac CT and MRI
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Tarun Kanti Ghosh
Md. Kamrul Hasan
Shidhartho Roy
Md. Ashraful Alam
Eklas Hossain
Mohiudding Ahmad
15
18
0
03 Feb 2021
DeepReg: a deep learning toolkit for medical image registration
DeepReg: a deep learning toolkit for medical image registration
Yunguan Fu
N. M. Brown
Shaheer U. Saeed
Adrià Casamitjana
Zachary Michael Cieman Baum
...
E. Bonmati
Daniel C. Alexander
Matthew J. Clarkson
Tom Kamiel Magda Vercauteren
Yipeng Hu
VLM
MedIm
14
32
0
04 Nov 2020
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