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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

29 November 2018
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
ArXivPDFHTML

Papers citing "3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training"

25 / 25 papers shown
Title
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Ozan Unal
Christos Sakaridis
Luc Van Gool
3DPC
3DV
34
0
0
12 Sep 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
41
5
0
09 Feb 2024
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
Pei Wang
Keqing He
Yutao Mou
Xiaoshuai Song
Yanan Wu
Jingang Wang
Yunsen Xian
Xunliang Cai
Weiran Xu
16
3
0
20 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
38
20
0
09 Oct 2023
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
V. Nath
Dong Yang
H. Roth
Daguang Xu
38
25
0
13 Sep 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
26
151
0
28 Jul 2022
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image
  Segmentation
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Ngan T. H. Le
3DPC
MedIm
20
13
0
19 May 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical
  Image Segmentation
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Yicheng Wu
Zhonghua Wu
Qianyi Wu
Zongyuan Ge
Jianfei Cai
14
134
0
02 Mar 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
20
16
0
04 Jan 2022
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma
  Distributions
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma
Zongbo Han
Changqing Zhang
H. Fu
Joey Tianyi Zhou
Q. Hu
EDL
UQCV
71
42
0
11 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
32
3
0
20 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
C. L. P. Chen
C. Qin
C. Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
59
40
0
07 Aug 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
42
948
0
10 Jun 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
57
1,533
0
18 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency
  Training
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu
Minfeng Xu
Z. Ge
Jianfei Cai
Lei Zhang
13
206
0
04 Mar 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers
  for Biomedical Image Segmentation
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Ziyuan Zhao
Zeng Zeng
Kaixin Xu
Cen Chen
Cuntai Guan
21
65
0
22 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
223
509
0
15 Jan 2021
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
24
520
0
09 Sep 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo
Lequan Yu
Hao Chen
Quande Liu
Xi Wang
Jiaqi Xu
Pheng-Ann Heng
OOD
19
75
0
06 Jun 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
19
221
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
16
750
0
27 Aug 2019
FusionNet: Incorporating Shape and Texture for Abnormality Detection in
  3D Abdominal CT Scans
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
Fengze Liu
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
MedIm
19
0
0
21 Aug 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems
On Defending Against Label Flipping Attacks on Malware Detection Systems
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
19
88
0
13 Aug 2019
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
285
9,136
0
06 Jun 2015
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