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Uncertainty-informed Mutual Learning for Joint Medical Image
  Classification and Segmentation
v1v2v3v4 (latest)

Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
17 March 2023
Kai Ren
K. Zou
Xianjie Liu
Yidi Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
    EDL
ArXiv (abs)PDFHTMLGithub (30★)

Papers citing "Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation"

6 / 6 papers shown
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Raghav Mehta
Karthik Gopinath
Ben Glocker
J. Iglesias
261
1
0
31 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A SurveyACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
1.2K
12
0
04 May 2025
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDLBDLUQCV
623
26
0
07 Sep 2024
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ
  Segmentation
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Yonghong Shi
Zhijian Song
259
3
0
17 Jul 2024
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Samita Bai
Sidra Nasir
Rizwan Ahmed Khan
Sheeraz Arif
Alexandre Meyer
259
15
0
01 Jun 2024
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
298
184
0
05 Oct 2022
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