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Ramtin Gharleghi
Ramtin Gharleghi
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Ramtin Gharleghi

Ramtin Gharleghi

Research Associate

University of New South Wales

Sydney Vascular Modelling Group

I am a Research Associate at the University of New South Wales . My research focuses on improving segmentation of coronary arteries, processing of large-scale medical image datasets and efficient assessment of hemodynamic metrics, aiming to pave the way for improved predictions of cardiovascular disease risk.

Interests
  • Computer Vision
  • Deep Learning
  • Image Processing
Education
  • Doctor of Philosophy, 2022

    University of New South Wales

  • BSc in Biomedical Engineering, 2017

    University of Buffalo

Latest

  • Accuracy of vascular tortuosity measures using computational modelling
  • Automated segmentation of normal and diseased coronary arteries--The ASOCA challenge
  • Learning Left Main Bifurcation Shape Features with an Autoencoder
  • 3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging Developments
  • A multi-objective optimization of stent geometries
  • Secondary flow in bifurcations--Important effects of curvature, bifurcation angle and stents
  • Deep learning for time averaged wall shear stress prediction in left main coronary bifurcations
  • Impact of Curvature, Bifurcation and Stenting on Secondary Flow in Idealised and Realistic Coronary Arteries
  • Advanced multi-objective design analysis to identify ideal stent design

© 2023 Ramtin Gharleghi.

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