ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2502.17029
  4. Cited By
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation

24 February 2025
B. Shirokikh
Anvar Kurmukov
Mariia Donskova
Valentin Samokhin
Mikhail Belyaev
Ivan Oseledets
    OOD
ArXiv (abs)PDFHTML

Papers citing "M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation"

26 / 26 papers shown
Title
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
Ivan Zakazov
V. Shaposhnikov
Iaroslav Bespalov
Dmitry V. Dylov
OOD
67
8
0
31 Jul 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain
  Feature Maps Consistency
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency
Stanislav Shimovolos
Andrey Shushko
Mikhail Belyaev
B. Shirokikh
OOD
43
1
0
28 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation
  techniques for Vestibular Schwannoma and Cochlea Segmentation
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
Reuben Dorent
Aaron Kujawa
M. Ivory
Spyridon Bakas
Nicola Rieke
...
Kai Yao
Li Zhang
Sebastien Ourselin
J. Shapey
Tom Vercauteren
OOD
59
85
0
08 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
123
1,125
0
04 Jan 2022
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
178
1,607
0
18 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
131
555
0
18 Feb 2021
Deep Symmetric Adaptation Network for Cross-modality Medical Image
  Segmentation
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation
Xiao Han
Lei Qi
Qian Yu
Ziqi Zhou
Yefeng Zheng
Yinghuan Shi
Yang Gao
OODMedIm
108
79
0
18 Jan 2021
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
79
1,149
0
02 Jul 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
86
897
0
11 Apr 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
88
623
0
17 Jan 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
183
4,449
0
07 Nov 2019
Standardized Assessment of Automatic Segmentation of White Matter
  Hyperintensities and Results of the WMH Segmentation Challenge
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf
J. M. Biesbroek
J. de Bresser
R. Heinen
Simon Andermatt
...
Christopher P L H Chen
W. M. van der Flier
F. Barkhof
M. Viergever
G. Biessels
61
256
0
01 Apr 2019
Unsupervised domain adaptation for medical imaging segmentation with
  self-ensembling
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
C. Perone
P. Ballester
Rodrigo C. Barros
Julien Cohen-Adad
OOD
84
208
0
14 Nov 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
OODSSeg
140
1,545
0
28 Feb 2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and
  Shape-Consistency Generative Adversarial Network
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang
Ling Yang
Yefeng Zheng
MedIm
118
378
0
27 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
73
2,013
0
10 Feb 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
669
10,786
0
19 Feb 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
262
4,667
0
17 Feb 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
82
796
0
09 Jan 2017
Unsupervised domain adaptation in brain lesion segmentation with
  adversarial networks
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Konstantinos Kamnitsas
Christian F. Baumgartner
C. Ledig
Virginia Newcombe
Joanna P. Simpson
...
David Menon
A. Nori
A. Criminisi
Daniel Rueckert
Ben Glocker
OODMedIm
79
478
0
28 Dec 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,206
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,601
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Domain Adaptive Neural Networks for Object Recognition
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
OOD
104
420
0
21 Sep 2014
1