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. 2206.09309
  4. Cited By
TBraTS: Trusted Brain Tumor Segmentation

TBraTS: Trusted Brain Tumor Segmentation

19 June 2022
Ke Zou
Xuedong Yuan
Xiaojing Shen
Meng Wang
H. Fu
    UQCV
    OOD
ArXivPDFHTML

Papers citing "TBraTS: Trusted Brain Tumor Segmentation"

11 / 11 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
96
0
0
04 May 2025
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
Chenjun Li
Dian Yang
Shun Yao
Shuyue Wang
Ye Wu
...
C. Westin
L. O’Donnell
N. Sochen
O. Pasternak
Fan Zhang
UQCV
40
0
0
11 Sep 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
21
6
0
10 Apr 2024
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan-Chia Cheng
Yuan Qi
MedIm
17
3
0
17 Nov 2023
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised
  Medical Image Segmentation
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Yingyu Chen
Ziyuan Yang
Chenyu Shen
Zhiwen Wang
Yang Qin
Yi Zhang
EDL
UQCV
20
8
0
18 Jul 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image
  Segmentation
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Ran Ran
Chunna Tian
Heng Zhou
Fan Yang
Xin Li
Zhicheng Jiao
26
2
0
25 May 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
H. Fu
UQCV
38
85
0
16 Feb 2023
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Meng Wang
Kai-An Yu
Chun-Mei Feng
K. Zou
Yanyu Xu
Qingquan Meng
Rick Siow Mong Goh
Yong Liu
H. Fu
MedIm
22
3
0
01 Dec 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDL
MedIm
27
30
0
03 May 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 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
261
9,134
0
06 Jun 2015
1