On Calibrated Model Uncertainty in Deep Learning

15 June 2022

Papers citing "On Calibrated Model Uncertainty in Deep Learning"

6 / 6 papers shown

Title
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2024 P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 233 1 0 05 Sep 2024
Instant Uncertainty Calibration of NeRFs Using a Meta-calibratorEuropean Conference on Computer Vision (ECCV), 2023 Niki Amini-Naieni Tomas Jakab Andrea Vedaldi Ronald Clark 277 3 0 04 Dec 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 295 44 0 09 Oct 2023
Rethinking Data Distillation: Do Not Overlook CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 313 18 0 24 Jul 2023
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma GradingAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022 Biraja Ghoshal Bhargab Ghoshal A. Tucker UQCV MedIm 161 6 0 15 Jun 2022
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi 426 583 0 10 Mar 2020