A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image
Quality

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

31 January 2020

Carole H. Sudre

Sebastien Ourselin

M. Jorge Cardoso

Papers citing "A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality"

5 / 5 papers shown

Title
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
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 80 0 05 Oct 2022
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training D. Ravì F. Barkhof Daniel C. Alexander Lemuel Puglisi Geoffrey J. M. Parker Arman Eshaghi MedIm 27 4 0 07 Jun 2022
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso H. Pemberton UQCV 27 5 0 06 Sep 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 144 427 0 09 Mar 2020