35 citations · 41 across the 10 of their papers we have counts for
10 papers
Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays
Dylan Saeed, Ramtin Gharleghi, Susann Beier +1
Coronary artery calcification (CAC) is a strong predictor of cardiovascular events, with CT-based Agatston scoring widely regarded as the clinical gold standard. However, CT is cos…
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +4
Coronary artery disease (CAD) remains the leading cause of death globally, with computed tomography coronary angiography (CTCA) serving as a key diagnostic tool. However, coronary…
The Anatomy of Coronary Risk: How Artery Geometry Shapes Coronary Artery Disease through Blood Flow Haemodynamics -- Latest Methods, Insights and Clinical Implications
C. Shen, M. Zhang, H. Keramati +13
Despite tremendous advances in cardiovascular medicine, significant opportunities remain to improve coronary artery disease (CAD) prevention and treatment strategies. The key limit…
Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights from Computational Modelling of Provisional and DK-Crush Techniques
Andrea Colombo, Dario Carbonaro, Mingzi Zhang +7
Complex coronary bifurcation lesions remain challenging in percutaneous coronary intervention, with stent design and deployment strategy influencing clinical outcomes. This study c…
Reliability of characterising coronary artery flow with the flow-split outflow strategy: comparison against the multiscale approach
Mingzi Zhang, Hamed Keramati, Ramtin Gharleghi +1
In computational modelling of coronary haemodynamics, imposing patient-specific flow conditions is paramount, yet often impractical due to resource and time constraints, limiting t…
Assessing Left Main Bifurcation Anatomy and Haemodynamics: A Potential Surrogate for Disease Risk in Suspected Coronary Artery Disease Without Stenosis?
R. Gharleghi, M. Zhang, C. Shen +3
Coronary anatomy governs local haemodynamics associated with atherosclerotic development, progression and ultimately adverse clinical outcomes. However, lack of large sample size s…
Sex-Specific Variances in Anatomy and Blood Flow of the Left Main Coronary Bifurcation: Implications for Coronary Artery Disease Risk
Ramtin Gharleghi, Mingzi Zhang, Dona Adikari +7
Studies have shown marked sex disparities in Coronary Artery Diseases (CAD) epidemiology, yet the underlying mechanisms remain unclear. We explored sex disparities in the coronary…
Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +2
Coronary artery diseases are among the leading causes of mortality worldwide. Timely and accurate diagnosis, facilitated by precise coronary artery segmentation, is pivotal in chan…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries
Ramtin Gharleghi, Dona Adikari, Katy Ellenberger +5
Computed Tomography Coronary Angiography (CTCA) is a non-invasive method to evaluate coronary artery anatomy and disease. CTCA is ideal for geometry reconstruction to create virtua…