Tareen Dawood

According to our database, Tareen Dawood authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.

Tareen Dawood, Chen Chen, 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., August, 2023

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.

Tareen Dawood, Chen Chen, 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

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.

Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021