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Image-level supervision and self-training for transformer-based
  cross-modality tumor segmentation

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation

17 September 2023
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
    MedIm
    ViT
ArXivPDFHTML

Papers citing "Image-level supervision and self-training for transformer-based cross-modality tumor segmentation"

21 / 21 papers shown
Title
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma
  and Cochlea Segmentation
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation
Bogyeong Kang
Hye-Young Nam
Ji-Wung Han
Keun-Soo Heo
Tae-Eui Kam
MedIm
44
7
0
27 Mar 2023
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViT
MedIm
54
69
0
28 Feb 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
ViT
MedIm
112
1,112
0
04 Jan 2022
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel
  Alignment and Self-Training
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training
Hexin Dong
Fei Yu
Jie Zhao
Bin Dong
Li Zhang
OOD
94
16
0
29 Sep 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
169
70
0
06 Aug 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation
  without Ground-truth
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
70
18
0
12 Jul 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
43
590
0
27 May 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
93
177
0
05 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
106
546
0
18 Feb 2021
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou
Zizhao Zhang
Han Zhang
Chun-Liang Li
Xiao Bian
Jia-Bin Huang
Tomas Pfister
57
296
0
19 Oct 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
282
2,384
0
11 Nov 2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup
  and Adversarial Domain Adaptation
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
E. Panfilov
A. Tiulpin
S. Klein
M. Nieminen
S. Saarakkala
OOD
61
78
0
12 Aug 2019
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image
  Segmentation
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation
O. Cheng
Konstantinos Kamnitsas
C. Biffi
Jinming Duan
Daniel Rueckert
OOD
43
95
0
05 Jul 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
102
1,134
0
23 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
90
840
0
02 May 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
128
1,628
0
05 Nov 2018
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
Yuankai Huo
Zhoubing Xu
Hyeonsoo Moon
Shunxing Bao
A. Assad
T. Moyo
M. Savona
R. Abramson
Bennett A. Landman
MedIm
114
225
0
15 Oct 2018
Task Driven Generative Modeling for Unsupervised Domain Adaptation:
  Application to X-ray Image Segmentation
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Yue Zhang
S. Miao
Tommaso Mansi
Rui Liao
MedIm
48
206
0
11 Jun 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
66
2,008
0
10 Feb 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
161
3,932
0
30 Nov 2017
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
74
1,045
0
14 Aug 2016
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