A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation

A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation

6 September 2021

Carole H. Sudre

Sebastien Ourselin

M. Jorge Cardoso

Papers citing "A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation"

5 / 5 papers shown

Title
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation Sophie Loizillon Simona Bottani Stéphane Mabille Yannick Jacob Aurélien Maire Sebastian Ströer Didier Dormont O. Colliot Ninon Burgos 29 2 0 18 Jun 2024
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 26 76 0 05 Oct 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 17 44 0 19 Dec 2021
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 Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015