Gregory Yoke Hong Lip
Orcid: 0000-0002-7566-1626
According to our database1,
Gregory Yoke Hong Lip
authored at least 21 papers
between 2020 and 2025.
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Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring.
npj Digit. Medicine, 2025
MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation.
Medical Image Anal., 2025
Artificial intelligence and digital twins for the personalised prediction of hypertension risk.
Comput. Biol. Medicine, 2025
Computational Modelling of Thrombogenesis During Cryoablation Ablation in the Left Atrium.
Proceedings of the Functional Imaging and Modeling of the Heart, 2025
2024
Comparing Left Atrial Spontaneous Echo Contrast Intensity with Gaussian Process Emulator Predictions.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024
Coral-CVDs: A Consistent Ordinal Regression Model for Cardiovascular Diseases Grading.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024
Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification.
Proceedings of the IEEE International Conference on Image Processing, 2024
2023
Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.
Proceedings of the Artificial Intelligence XXXIX, 2022
Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2022
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022
Prioritising electrocardiograms for manual review to improve the efficiency of atrial fibrillation screening.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Modelling Virchow's Triad to Improve Stroke Risk Assessment in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2022
2021
Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification.
Proceedings of the Artificial Intelligence XXXVIII, 2021
TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021
Left Atrial Appendage Morphology Impacts Thrombus Formation Risks in Multi-Physics Atrial Models.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Proceedings of the Artificial Intelligence in Medicine, 2020