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Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis
  using deep neural networks

Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks

22 January 2019
Richard McKinley
Rik Wepfer
F. Aschwanden
L. Grunder
Raphaela Muri
C. Rummel
R. Verma
C. Weisstanner
M. Reyes
A. Salmen
A. Chan
F. Wagner
Roland Wiest
ArXivPDFHTML

Papers citing "Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks"

5 / 5 papers shown
Title
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
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
26
125
0
11 May 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
22
14
0
12 Dec 2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D
  networks with label uncertainty
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
Richard McKinley
M. Rebsamen
Katrin Daetwyler
Raphael Meier
Piotr Radojewski
Roland Wiest
3DV
16
26
0
11 Dec 2020
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion
  Segmentation in Multiple Sclerosis
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Stefano Cerri
O. Puonti
D. Meier
J. Wuerfel
Mark Muhlau
H. Siebner
Koen van Leemput
11
99
0
11 May 2020
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
40
330
0
27 Feb 2017
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