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One-shot domain adaptation in multiple sclerosis lesion segmentation
  using convolutional neural networks

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

31 May 2018
Sergi Valverde
Mostafa Salem
Mariano Cabezas
D. Pareto
J. Vilanova
L. Ramió-Torrentá
À. Rovira
J. Salvi
A. Oliver
Xavier Llado
ArXivPDFHTML

Papers citing "One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks"

15 / 15 papers shown
Title
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation
  Across Similar Anatomical Structures
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Ran Gu
Jingyang Zhang
Guotai Wang
Wenhui Lei
Tao Song
Xiaofan Zhang
Kang Li
Shaoting Zhang
32
41
0
18 Aug 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated
  Learning
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Dongnan Liu
Mariano Cabezas
Dongang Wang
Zihao Tang
Lei Bai
...
Fernando Calamante
Michael Barnett
Wanli Ouyang
Weidong (Tom) Cai
Chenyu Wang
FedML
21
4
0
03 May 2022
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
J. Wolleb
Robin Sandkühler
Florentin Bieder
M. Barakovic
N. Hadjikhani
A. Papadopoulou
Ozgur Yaldizli
J. Kuhle
Cristina Granziera
Philippe C. Cattin
OOD
32
8
0
13 Oct 2021
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Ivan Zakazov
B. Shirokikh
A. Chernyavskiy
Mikhail Belyaev
OOD
27
15
0
10 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
45
41
0
07 Jul 2021
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
32
125
0
11 May 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 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
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
31
53
0
09 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
48
532
0
18 Feb 2021
DeepLesionBrain: Towards a broader deep-learning generalization for
  multiple sclerosis lesion segmentation
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
R. A. Kamraoui
Vinh-Thong Ta
T. Tourdias
Boris Mansencal
J. V. Manjón
Pierrick Coupé
OOD
31
50
0
14 Dec 2020
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
30
14
0
12 Dec 2020
Test-time Unsupervised Domain Adaptation
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky
Mauricio Orbes-Arteaga
Carole H. Sudre
M. Graham
P. Nachev
M. Jorge Cardoso
OOD
21
55
0
05 Oct 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation
  with Fully Convolutional Neural Networks
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks
Davood Karimi
Simon K. Warfield
Ali Gholipour
MedIm
16
19
0
30 May 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
Oula Puonti
D. Meier
J. Wuerfel
Mark Muhlau
H. Siebner
Koen van Leemput
13
99
0
11 May 2020
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Muller
Frank Kramer
22
117
0
21 Oct 2019
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