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Improving Deep Learning Model Calibration for Cardiac Applications using
  Deterministic Uncertainty Networks and Uncertainty-aware Training

Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training

10 May 2024
Tareen Dawood
B. Ruijsink
Reza Razavi
Andrew P. King
Esther Puyol-Antón
    UQCV
ArXivPDFHTML

Papers citing "Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training"

3 / 3 papers shown
Title
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked
  Neural Networks Framework: Case Study in COVID-19 Classification
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification
Hassan Gharoun
M. S. Khorshidi
Fang Chen
Amir H. Gandomi
28
0
0
19 Sep 2024
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
183
156
0
14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1