Emily Chan

According to our database, Emily Chan authored at least 4 papers between 2019 and 2023.

Collaborative distances:

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

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

2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging.

Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI.

Emily Chan, Matt Kelly, Julia A. Schnabel

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Towards a Framework for Teaching Debugging.

Chen Li, Emily Chan, Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero

Proceedings of the Twenty-First Australasian Computing Education Conference, 2019