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2020 – today
- 2024
[c5]Maxime Di Folco
, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel:
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. MICCAI (10) 2024: 492-501- [i2]Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea:
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. CoRR abs/2407.03863 (2024) - 2023
- [c4]Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Antón:
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. ISBI 2023: 1-5 - 2022
- [c3]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:
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI 2022: 101-111 - [i1]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:
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR abs/2209.14212 (2022) - 2021
- [c2]Emily Chan, Matt Kelly, Julia A. Schnabel:
Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI. ISBI 2021: 729-732
2010 – 2019
- 2019
- [c1]Chen Li, Emily Chan, Paul Denny, Andrew Luxton-Reilly, Ewan D. Tempero:
Towards a Framework for Teaching Debugging. ACE 2019: 79-86
Coauthor Index
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