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Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.

Journal article

Beetz M. et al, (2024), IEEE J Biomed Health Inform, 28, 4810 - 4819

Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review

Journal article

Sharp AJ. et al, (2024), Journal of Clinical Medicine, 13, 4442 - 4442

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Journal article

Nan Y. et al, (2024), Med Image Anal, 97

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

Journal article

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

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning

Journal article

Mamalakis M. et al, (2024), Neural Computing and Applications

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

Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation

Journal article

van Zijl N. et al, (2024), IEEE Transactions on Biomedical Engineering, 1 - 8

Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders

Conference paper

Seale T. et al, (2024), Proceedings - International Symposium on Biomedical Imaging

New trends of adversarial machine learning for data fusion and intelligent system

Journal article

Ding W. et al, (2024), Information Fusion

TCPNet: A Novel Tumor Contour Prediction Network Using MRIs

Conference paper

Agarwal S. et al, (2024), Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, 183 - 188

Uncertainty Quantification in Deep Learning Framework for Mallampati Classification

Conference paper

Mahato A. et al, (2024), Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, 626 - 631

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