Gregory Yoke Hong Lip

Orcid: 0000-0002-7566-1626

According to our database1, Gregory Yoke Hong Lip authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
IEEE Trans. Image Process., 2026

Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
GROK: From Quantitative Biomarkers to Qualitative Diagnosis via a Grounded MLLM with Knowledge-Guided Instruction.
CoRR, October, 2025

Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring.
npj Digit. Medicine, 2025

Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach.
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

Graph neural networks for the enhanced prediction of new atrial fibrillation episodes after stroke.
Comput. Biol. Medicine, 2025

The integrated multiple event representation framework (IMERF): a case study on critically-ill patients.
Comput. Biol. Medicine, 2025

Artificial intelligence and digital twins for the personalised prediction of hypertension risk.
Comput. Biol. Medicine, 2025

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

UncEGA-Net: Uncertainty-Guided Edge Attention for Optic Nerve Segmentation in Ultrasound Images.
Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 2025

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-Based Glaucoma Forecasting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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

Characterising RR Intervals in Atrial Fibrillation Detected Through Screening.
Proceedings of the Computing in Cardiology, 2023

2022
Assigning diagnosis codes using medication history.
Artif. Intell. Medicine, 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

Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram.
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
Towards Assigning Diagnosis Codes Using Medication History.
Proceedings of the Artificial Intelligence in Medicine, 2020


  Loading...