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Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher
  Model

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

4 March 2019
Wenhui Cui
Yanling Liu
Yuxing Li
Meng-Hao Guo
Yiming Li
Xiuli Li
Tianle Wang
Xiangzhu Zeng
Chuyang Ye
ArXivPDFHTML

Papers citing "Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model"

22 / 22 papers shown
Title
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
25
3
0
16 Jul 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D
  Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel
  Supervisions
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions
Hongkuan Shi
Zhiwei Wang
Ying Zhou
Dun Li
Xin Yang
Qiang Li
3DV
29
7
0
15 Oct 2022
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
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation
Pratima Upretee
Bishesh Khanal
MedIm
21
10
0
31 Jul 2022
Representation Learning with Information Theory for COVID-19 Detection
Representation Learning with Information Theory for COVID-19 Detection
Abel Díaz Berenguer
Tanmoy Mukherjee
M. Bossa
Nikos Deligiannis
Hichem Sahli
OOD
30
3
0
04 Jul 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
Huazhu Fu
Lei Zhu
Xuelong Li
FedML
19
48
0
26 Mar 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
17
44
0
23 Mar 2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
41
76
0
25 Nov 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
R. Tong
35
55
0
28 Sep 2021
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium
  Segmentation
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Xuanting Hao
Shengbo Gao
Lijie Sheng
Jicong Zhang
35
3
0
20 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chia-Ju Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
31
63
0
29 Jul 2021
Federated Semi-supervised Medical Image Classification via Inter-client
  Relation Matching
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Quande Liu
Hongzhen Yang
Qi Dou
Pheng-Ann Heng
FedML
35
76
0
16 Jun 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised
  Learning for Segmentation of Prostate Zones and Beyond
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Anneke Meyer
Suhita Ghosh
D. Schindele
M. Schostak
Sebastian Stober
C. Hansen
Marko Rak
28
16
0
08 Apr 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray
  Classification
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu
Yu Tian
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
23
41
0
05 Mar 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
28
25
0
15 Dec 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography
  Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Guotai Wang
Tao Song
Q. Dong
Mei Cui
Ning Huang
Shaoting Zhang
DiffM
MedIm
30
73
0
07 Jul 2020
Semi-supervised Medical Image Classification with Relation-driven
  Self-ensembling Model
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
30
220
0
15 May 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Automatic acute ischemic stroke lesion segmentation using
  semi-supervised learning
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
Bin Zhao
Shuxue Ding
Hong Wu
Guohua Liu
Chen Cao
Song Jin
Zhiyang Liu
10
10
0
10 Aug 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
270
1,275
0
06 Mar 2017
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