Towards Reliable Medical Image Segmentation by utilizing Evidential
Calibrated Uncertainty

Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty

1 January 2023

Meng Wang

Rick Siow Mong Goh

Papers citing "Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty"

7 / 7 papers shown

Title
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation Kai Ren K. Zou Xianjie Liu Yidi Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu EDL 33 12 0 17 Mar 2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions K. Zou Tian Lin Xuedong Yuan Haoyu Chen Xiaojing Shen Meng Wang Huazhu Fu 35 3 0 17 Mar 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 54 87 0 16 Feb 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,503 0 11 Nov 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 190 157 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015