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2004.09216
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4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
20 April 2020
N. Gessert
M. Bengs
Julia Kruger
R. Opfer
A. Ostwaldt
Praveena Manogaran
S. Schippling
Alexander Schlaefer
MedIm
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Papers citing
"4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation"
4 / 4 papers shown
Title
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
Yicheng Wu
Zhonghua Wu
Hengcan Shi
Bjoern Picker
W. Chong
Jianfei Cai
OOD
37
5
0
10 Jul 2023
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
46
125
0
11 May 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
1