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Domain Shift in Computer Vision models for MRI data analysis: An
  Overview

Domain Shift in Computer Vision models for MRI data analysis: An Overview

14 October 2020
E. Kondrateva
Marina Pominova
E. Popova
M. Sharaev
A. Bernstein
Evgeny Burnaev
    OOD
ArXivPDFHTML

Papers citing "Domain Shift in Computer Vision models for MRI data analysis: An Overview"

17 / 17 papers shown
Title
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
70
2
0
02 Oct 2023
A Learning Strategy for Contrast-agnostic MRI Segmentation
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot
Douglas N. Greve
Koen van Leemput
Bruce Fischl
Juan Eugenio Iglesias
Adrian Dalca
15
77
0
04 Mar 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image
  Segmentation
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Jesse Sun
Fatemeh Darbeha
M. Zaidi
Bo Wang
AAML
28
110
0
21 Jan 2020
3D Deformable Convolutions for MRI classification
3D Deformable Convolutions for MRI classification
Marina Pominova
E. Kondrateva
M. Sharaev
Sergey Pavlov
A. Bernstein
Evgeny Burnaev
MedIm
23
18
0
05 Nov 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
41
19
0
15 Aug 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
53
200
0
24 May 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease:
  Overview and Reproducible Evaluation
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
47
513
0
16 Apr 2019
On Direct Distribution Matching for Adapting Segmentation Networks
On Direct Distribution Matching for Adapting Segmentation Networks
Georg Pichler
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
OOD
58
3
0
04 Apr 2019
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OOD
AI4CE
66
351
0
13 Dec 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
101
1,535
0
28 Feb 2018
Towards Alzheimer's Disease Classification through Transfer Learning
Towards Alzheimer's Disease Classification through Transfer Learning
Marcia Hon
N. Khan
MedIm
53
209
0
29 Nov 2017
Machine Learning Topological Invariants with Neural Networks
Machine Learning Topological Invariants with Neural Networks
Pengfei Zhang
Huitao Shen
H. Zhai
53
198
0
30 Aug 2017
Adversarial training and dilated convolutions for brain MRI segmentation
Adversarial training and dilated convolutions for brain MRI segmentation
P. Moeskops
M. Veta
Maxime W. Lafarge
K. Eppenhof
J. Pluim
MedIm
GAN
87
132
0
11 Jul 2017
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRL
GAN
80
544
0
01 Jun 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley
S. Bazrafkan
Peter Corcoran
55
373
0
24 Mar 2017
Applying Topological Persistence in Convolutional Neural Network for
  Music Audio Signals
Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals
Jen-Yu Liu
Shyh-Kang Jeng
Yi-Hsuan Yang
35
34
0
26 Aug 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
326
9,418
0
28 May 2015
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