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Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
v1v2v3 (latest)

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

28 February 2019
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation"

50 / 132 papers shown
Title
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
Jiaying He
Yitong Lin
Jiahe Chen
Honghui Xu
Jianwei Zheng
18
0
0
09 Jun 2025
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
29
0
0
30 May 2025
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
Luyang Cao
Jianwei Li
Yinghuan Shi
57
0
0
22 May 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Zekun Li
Lei Qi
Qian Yu
Yinghuan Shi
MedIm
81
1
0
21 Mar 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
Chen Zhao
Xuan Wang
Tong Zhang
Saqib Javed
Mathieu Salzmann
3DGS
566
0
0
13 Mar 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
89
1
0
28 Feb 2025
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
Wenbo Xiao
Zhihao Xu
Guiping Liang
Yangjun Deng
Yi Xiao
227
0
0
01 Feb 2025
SP3{ }^33 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
Shiman Li
Jiayue Zhao
Shaolei Liu
Xiaokun Dai
Chenxi Zhang
Zhijian Song
142
0
0
18 Nov 2024
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised
  Medical Image Segmentation
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
Tao Wang
Xinlin Zhang
Yuanbin Chen
Yuanbo Zhou
Longxuan Zhao
T. Tan
Tong Tong
114
0
0
07 Nov 2024
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image
  Segmentation
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation
Sicheng Shen
Jinming Cao
Yifang Yin
Roger Zimmermann
122
1
0
14 Oct 2024
The Devil is in the Statistics: Mitigating and Exploiting Statistics
  Difference for Generalizable Semi-supervised Medical Image Segmentation
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
Muyang Qiu
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
115
4
0
16 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
119
0
0
14 Jul 2024
Large Language Model-Augmented Auto-Delineation of Treatment Target
  Volume in Radiation Therapy
Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy
Praveenbalaji Rajendran
Yong Yang
Thomas R. Niedermayr
Michael Gensheimer
Beth Beadle
Quynh Le
Lei Xing
Xianjin Dai
79
2
0
10 Jul 2024
FRCNet Frequency and Region Consistency for Semi-supervised Medical
  Image Segmentation
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
Along He
Tao Li
Yanlin Wu
Ke Zou
Huazhu Fu
38
3
0
26 May 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
111
12
0
01 May 2024
Cross-model Mutual Learning for Exemplar-based Medical Image
  Segmentation
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
Qing En
Yuhong Guo
65
0
0
18 Apr 2024
Constructing and Exploring Intermediate Domains in Mixed Domain
  Semi-supervised Medical Image Segmentation
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
92
9
0
13 Apr 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for
  Semi-supervised Medical Image Segmentation
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Heng Zhou
Xiaoran Shi
Ran Ran
Chunna Tian
Feng Zhou
78
11
0
10 Apr 2024
Inter- and intra-uncertainty based feature aggregation model for
  semi-supervised histopathology image segmentation
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin
Hui Cui
Changming Sun
Yang Song
Jiangbin Zheng
Leilei Cao
Leyi Wei
Ran Su
74
22
0
19 Mar 2024
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level
  Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image
  Segmentation
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
Chao Ma
Ziyang Wang
Mamba
95
28
0
11 Feb 2024
Semi-supervised Segmentation of Histopathology Images with Noise-Aware
  Topological Consistency
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
Meilong Xu
Xiaoling Hu
Saumya Gupta
Shahira Abousamra
Chao Chen
128
7
0
28 Nov 2023
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
52
0
0
17 Nov 2023
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
80
27
0
24 Oct 2023
Competitive Ensembling Teacher-Student Framework for Semi-Supervised
  Left Atrium MRI Segmentation
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation
Yuyan Shi
Yichi Zhang
Shasha Wang
75
8
0
21 Oct 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Haonan Wang
Xiaomeng Li
98
35
0
17 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
93
12
0
10 Oct 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
99
27
0
09 Oct 2023
Consistency Regularization Improves Placenta Segmentation in Fetal EPI
  MRI Time Series
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
Yingcheng Liu
Neerav Karani
Neel Dey
S. M. Abulnaga
Junshen Xu
P. E. Grant
Esra Abaci Turk
Polina Golland
55
0
0
05 Oct 2023
Cross-adversarial local distribution regularization for semi-supervised
  medical image segmentation
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation
Thanh Nguyen-Duc
Trung Le
Roland Bammer
He Zhao
Jianfei Cai
Dinh Q. Phung
OODMedIm
80
9
0
02 Oct 2023
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for
  Semi-Supervised Medical Image Segmentation
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
Yuanbin Chen
Tao Wang
Hui Tang
Longxuan Zhao
Ruige Zong
Shun Chen
T. Tan
Xinlin Zhang
Tong Tong
79
2
0
31 Aug 2023
Domain Adaptation for Medical Image Segmentation using
  Transformation-Invariant Self-Training
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
Negin Ghamsarian
Javier Gamazo Tejero
Pablo Márquez-Neila
Sebastian Wolf
M. Zinkernagel
Klaus Schoeffmann
Raphael Sznitman
OOD
85
10
0
31 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
70
3
0
16 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
93
3
0
26 Jun 2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for
  Medical Image Segmentation
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
Rui Sun
Tao Lei
Xiaogang Du
Y. Wan
Yong-quan Xia
Asoke K. Nandi
ViTMedIm
38
6
0
07 Jun 2023
Self-aware and Cross-sample Prototypical Learning for Semi-supervised
  Medical Image Segmentation
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Ran Ran
Chunna Tian
Heng Zhou
Xin Li
Fan Yang
Zhicheng Jiao
97
26
0
25 May 2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical
  Image Segmentation
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Yiqun Lin
Kwang-Ting Cheng
128
23
0
15 Apr 2023
Ambiguous Medical Image Segmentation using Diffusion Models
Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman
Jeya Maria Jose Valanarasu
Ilker Hacihaliloglu
V. Patel
MedImDiffM
99
106
0
10 Apr 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and
  Variational Model Ensembling via Bayesian Neural Networks
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Weihang Dai
Xuelong Li
Kwang-Ting Cheng
BDLUQCV
69
15
0
15 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
116
7
0
07 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
63
2
0
03 Feb 2023
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image
  Segmentation
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
Ruifei Zhang
Sishuo Liu
Yizhou Yu
Guanbin Li
SSLMedIm
67
26
0
12 Jan 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised
  Medical Image Segmentation
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Hua Yang
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaiane
67
45
0
11 Jan 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube
  Partition and Recovery
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
Duowen Chen
Yunhao Bai
Wei Shen
Qingli Li
Lequan Yu
Yan Wang
47
27
0
29 Dec 2022
Segmentation Ability Map: Interpret deep features for medical image
  segmentation
Segmentation Ability Map: Interpret deep features for medical image segmentation
Sheng He
Yanfang Feng
P. E. Grant
Yangming Ou
SSeg
51
27
0
19 Dec 2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image
  segmentation
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
Ziyuan Zhao
Fangcheng Zhou
Kaixin Xu
Zeng Zeng
Cuntai Guan
S Kevin Zhou
OOD
103
45
0
05 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
68
6
0
02 Dec 2022
Learning to Annotate Part Segmentation with Gradient Matching
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang
Xiaotian Cheng
Hakan Bilen
Xiangyang Ji
GAN
96
7
0
06 Nov 2022
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction
  Prediction from Echocardiogram Videos
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
Weihang Dai
Xuelong Li
Xinpeng Ding
Kwang-Ting Cheng
127
23
0
20 Oct 2022
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for
  Medical Image Segmentation
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
45
14
0
20 Oct 2022
Cutting-Splicing data augmentation: A novel technology for medical image
  segmentation
Cutting-Splicing data augmentation: A novel technology for medical image segmentation
Lianting Hu
Huiying Liang
Jiajie Tang
Xin Li
Li Huang
Long Lu
30
1
0
17 Oct 2022
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