The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Deep Vessel Segmentation by Learning Graphical Connectivity

透過 3D Unet 將心臟的冠狀動脈(包含 左冠狀動脈、有冠狀動脈、左迴旋支、左前降支、右後降支等) 分割出來，其他的後續應用及其研究是秘密歐。 Dataset 來自聯新醫院，並自己 Label 製作而成。

About Official repository for "FlowVM-Net: Enhanced Vessel Segmentation in X-Ray Coronary Angiography Using Temporal Information Fusion", which is accpeted by Journal of Imaging Informatics in Medicine as a original paper!

Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images

RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning

Coronary-Artery-Lesion-Intelligent-Visualization-System

Automatic segmentation of cardiac substructures (left ventricular myocardial walls and coronary arteries) on non-angiographic contrast CT (cCT) based on nnU-Net v2