Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control

31 January 2020

Papers citing "Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control"

4 / 4 papers shown

Title
FUSQA: Fetal Ultrasound Segmentation Quality Assessment Sevim Cengiz Ibrahim Almakk Mohammad Yaqub 32 0 0 08 Mar 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 38 82 0 05 Oct 2022
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation Francesco Galati Maria A. Zuluaga 27 15 0 12 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 295 5,726 0 05 Dec 2016