Region-Based Evidential Deep Learning to Quantify Uncertainty and
Improve Robustness of Brain Tumor Segmentation

Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation

11 August 2022

Hao Li

Guang Yang

Papers citing "Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation"

16 / 16 papers shown

Title
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 28 0 0 24 Oct 2024
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 48 0 0 11 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 55 5 0 07 Sep 2024
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation Yitong Yang Xinli Xu Haigen Hu Haixia Long Qianwei Zhou Qiu Guan FedML MedIm 45 0 0 23 May 2024
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 26 7 0 10 Apr 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 47 13 0 19 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 26 8 0 05 Nov 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation Zhenxi Zhang Ran Ran Chunna Tian Heng Zhou Fan Yang Xin Li Zhicheng Jiao 34 2 0 25 May 2023
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 29 78 0 05 Oct 2022
Large-Kernel Attention for 3D Medical Image Segmentation Hao Li Yang Nan Javier Del Ser Guang Yang MedIm 33 25 0 19 Jul 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 48 48 0 06 Oct 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 31 53 0 09 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015