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Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal
  Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

13 December 2020
Xiangde Luo
Wenjun Liao
Jieneng Chen
Tao Song
Yinan Chen
Shichuan Zhang
N. Chen
Guotai Wang
Shaoting Zhang
ArXivPDFHTML

Papers citing "Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency"

20 / 20 papers shown
Title
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
140
0
0
01 Feb 2025
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
65
0
0
31 Jul 2024
Double-Uncertainty Weighted Method for Semi-supervised Learning
Double-Uncertainty Weighted Method for Semi-supervised Learning
Yixin Wang
Yao Zhang
Jiang Tian
Cheng Zhong
Zhongchao Shi
Yang Zhang
Zhiqiang He
UQCV
26
113
0
19 Oct 2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo
Jieneng Chen
Tao Song
Yinan Chen
Guotai Wang
Shaoting Zhang
42
530
0
09 Sep 2020
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
Shuailin Li
Chuyu Zhang
Xuming He
54
354
0
21 Jul 2020
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain
  Segmentation from Stacks of MRI Slices
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
Guotai Wang
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
Shaoting Zhang
38
34
0
02 Jul 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
223
500
0
08 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
218
42,038
0
03 Dec 2019
Semi-Supervised Medical Image Segmentation via Learning Consistency
  under Transformations
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
Gerda Bortsova
Florian Dubost
Laurens Hogeweg
Ioannis Katramados
Marleen de Bruijne
39
178
0
04 Nov 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left
  Atrium Segmentation
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lequan Yu
Shujun Wang
Xuelong Li
Chi-Wing Fu
Pheng-Ann Heng
UQCV
47
832
0
16 Jul 2019
Deep Co-Training for Semi-Supervised Image Segmentation
Deep Co-Training for Semi-Supervised Image Segmentation
Jizong Peng
Guillermo Estrada
M. Pedersoli
Christian Desrosiers
57
179
0
27 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
88
763
0
09 Mar 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher
  Model
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui
Yanling Liu
Yuxing Li
Meng-Hao Guo
Yiming Li
Xiuli Li
Tianle Wang
Xiangzhu Zeng
Chuyang Ye
77
174
0
04 Mar 2019
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
48
380
0
28 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
48
143
0
11 Feb 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
110
1,283
0
30 Nov 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
UQCV
MedIm
OOD
126
588
0
19 Jul 2018
Deep Co-Training for Semi-Supervised Image Recognition
Deep Co-Training for Semi-Supervised Image Recognition
Siyuan Qiao
Wei Shen
Zhishuai Zhang
Bo Wang
Alan Yuille
36
446
0
15 Mar 2018
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
128
6,483
0
21 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
444
9,233
0
06 Jun 2015
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