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Ramtin Gharleghi

Showing results (1-10 of 15) with videos related to

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Computer Methods and Programs in Biomedicine|July 28, 2022
Transient wall shear stress estimation in coronary bifurcations using convolutional neural networksRamtin Gharleghi, Arcot Sowmya, Susann Beier
Computer Methods and Programs in Biomedicine|August 1, 2022
Towards automated coronary artery segmentation: A systematic reviewRamtin Gharleghi, Nanway Chen, Arcot Sowmya, et al.
Royal Society Open Science|September 23, 2024
A new understanding of coronary curvature and haemodynamic impact on the course of plaque onset and progressionMingzi Zhang, Ramtin Gharleghi, Chi Shen, et al.
Computer Methods and Programs in Biomedicine|February 16, 2025
Reliability of characterising coronary artery flow with the flow-split outflow strategy: Comparison against the multiscale approachMingzi Zhang, Hamed Keramati, Ramtin Gharleghi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery IdentificationShisheng Zhang, Ramtin Gharleghi, Sonit Singh, et al.
BMJ Open|June 20, 2022
A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort studyDona Adikari, Ramtin Gharleghi, Shisheng Zhang, et al.
Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions|November 13, 2025
Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights From Computational Modeling of Provisional and DK-Crush TechniquesAndrea Colombo, Dario Carbonaro, Mingzi Zhang, et al.
Scientific Reports|January 18, 2022
Accuracy of vascular tortuosity measures using computational modellingVishesh Kashyap, Ramtin Gharleghi, Darson D Li, et al.
Annals of Biomedical Engineering|January 21, 2022
Correction to: 3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging DevelopmentsRamtin Gharleghi, Claire A Dessalles, Ronil Lal, et al.
Journal of Imaging Informatics in Medicine|September 19, 2025
Optimising Generalisable Deep Learning Models for CT Coronary Segmentation: A Multifactorial EvaluationShisheng Zhang, Ramtin Gharleghi, Sonit Singh, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|July 28, 2022
Transient wall shear stress estimation in coronary bifurcations using convolutional neural networksRamtin Gharleghi, Arcot Sowmya, Susann Beier
Computer Methods and Programs in Biomedicine|August 1, 2022
Towards automated coronary artery segmentation: A systematic reviewRamtin Gharleghi, Nanway Chen, Arcot Sowmya, et al.
Royal Society Open Science|September 23, 2024
A new understanding of coronary curvature and haemodynamic impact on the course of plaque onset and progressionMingzi Zhang, Ramtin Gharleghi, Chi Shen, et al.
Computer Methods and Programs in Biomedicine|February 16, 2025
Reliability of characterising coronary artery flow with the flow-split outflow strategy: Comparison against the multiscale approachMingzi Zhang, Hamed Keramati, Ramtin Gharleghi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery IdentificationShisheng Zhang, Ramtin Gharleghi, Sonit Singh, et al.
BMJ Open|June 20, 2022
A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort studyDona Adikari, Ramtin Gharleghi, Shisheng Zhang, et al.
Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions|November 13, 2025
Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights From Computational Modeling of Provisional and DK-Crush TechniquesAndrea Colombo, Dario Carbonaro, Mingzi Zhang, et al.
Scientific Reports|January 18, 2022
Accuracy of vascular tortuosity measures using computational modellingVishesh Kashyap, Ramtin Gharleghi, Darson D Li, et al.
Annals of Biomedical Engineering|January 21, 2022
Correction to: 3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging DevelopmentsRamtin Gharleghi, Claire A Dessalles, Ronil Lal, et al.
Journal of Imaging Informatics in Medicine|September 19, 2025
Optimising Generalisable Deep Learning Models for CT Coronary Segmentation: A Multifactorial EvaluationShisheng Zhang, Ramtin Gharleghi, Sonit Singh, et al.
Pageof 2