David Molony

A Machine Learning-Based Method for Intracoronary OCT Segmentation and Vulnerable Coronary Plaque Cap Thickness Quantification

Xiaoya Guo, Dalin Tang, David Molony, 2019, International Journal of Computational Methods.

Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data

Dalin Tang, David Molony, Habib Samady, 2019, Biomechanics and modeling in mechanobiology.

A Segmentation Method for Intracoronary Optical Coherence Tomography (OCT) Image Based on Least Squares Support Vector Machine: Vulnerable Coronary Plaque Cap Thickness Quantification

Xiaoya Guo, Dalin Tang, David Molony, 2017 .

Prediction of the coronary plaque growth and vulnerability change by using patient-specific 3D fluid–structure interaction models based on intravascular ultrasound and optical coherence tomography follow-up data

Xiaoya Guo, Dalin Tang, David Molony, 2020 .