Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Scoring systems developed by machine learning: intelligent but simple to use?

Journal article

Banerjee A. and Leeson P., (2024), Eur Heart J

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

Chapter

He H. et al, (2024), Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 209 - 219

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Chapter

Peng J. et al, (2024), Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 163 - 173

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference

Journal article

Li L. et al, (2024), IEEE Transactions on Medical Imaging, 1 - 1

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

Journal article

Beetz M. et al, (2023), Medical Image Analysis, 102975 - 102975

Characterization of A Robust Probabilistic Framework for Brain MR Image Data Distributions

Journal article

Banerjee A. and Mukhoti SK., (2023), Stat

Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19.

Journal article

Shanmuganathan M. et al, (2023), Front Cardiovasc Med, 10

Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI.

Journal article

Shanmuganathan M. et al, (2023), JACC Cardiovasc Imaging, 16, 46 - 59

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning

Conference paper

Alkhodari M. et al, (2023), Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, 1886 - 1889

Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction

Conference paper

Beetz M. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14221 LNCS, 532 - 542

Load More