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. 1903.01248
  4. Cited By
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"

9 / 9 papers shown
Title
Semi-Supervised Deep Learning for Fully Convolutional Networks
Semi-Supervised Deep Learning for Fully Convolutional Networks
Christoph Baur
Shadi Albarqouni
Nassir Navab
SSL
48
124
0
17 Mar 2017
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
323
1,274
0
06 Mar 2017
A deep learning model integrating FCNNs and CRFs for brain tumor
  segmentation
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
42
673
0
15 Feb 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
OOD
MedIm
76
479
0
28 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
181
2,554
0
07 Oct 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
148
6,523
0
21 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
130
3,056
0
18 Mar 2016
Brain Tumor Segmentation with Deep Neural Networks
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
110
2,878
0
13 May 2015
Dropout Training as Adaptive Regularization
Dropout Training as Adaptive Regularization
Stefan Wager
Sida I. Wang
Percy Liang
126
599
0
04 Jul 2013
1