Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Tareen Dawood; Chen Chen 042; Robin Andlauer; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; C. Aldo Rinaldi; Esther Puyol-Antón; Reza Razavi; et al. (STACOM@MICCAI, 2021)

Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. - Tareen Dawood; Emily Chan; Reza Razavi; Andrew P. King; Esther Puyol-Antón (ISBI, 2023)

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhua; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (CoRR, 2023)

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (Medical Image Anal., 2023)

Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. - Tareen Dawood; Bram Ruijsink; Reza Razavi; Andrew P. King; Esther Puyol-Antón (CoRR, 2024)