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Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
v1v2 (latest)

Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods

12 December 2020
H. Zhang
I. Oguz
ArXiv (abs)PDFHTML

Papers citing "Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods"

3 / 3 papers shown
Transformer based Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Ahmed Ghorbel
Ahmed Aldahdooh
Shadi Albarqouni
Neuherberg
ViTMedIm
282
11
0
05 Jul 2022
Ensemble CNN and Uncertainty Modeling to Improve Automatic
  Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic
  Resonance Imaging
Ensemble CNN and Uncertainty Modeling to Improve Automatic Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Imaging
G. Placidi
Luigi Cinque
D. Iacoviello
F. Mignosi
M. Polsinelli
299
1
0
26 Aug 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical ApplicationsIEEE journal of biomedical and health informatics (JBHI), 2021
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
327
37
0
20 Apr 2021
1
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