Biography
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
Experience
Research Associate
UNSW
PhD Candidate
UNSW
Selected Publications
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(2022).
Accuracy of vascular tortuosity measures using computational modelling.
Scientific reports.
(2022).
Automated segmentation of normal and diseased coronary arteries--The ASOCA challenge.
Computerized Medical Imaging and Graphics.
(2022).
Learning Left Main Bifurcation Shape Features with an Autoencoder.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
(2021).
3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging Developments.
Annals of Biomedical Engineering.
(2021).
A multi-objective optimization of stent geometries.
Journal of Biomechanics.
(2021).
Secondary flow in bifurcations--Important effects of curvature, bifurcation angle and stents.
Journal of Biomechanics.
(2020).
Deep learning for time averaged wall shear stress prediction in left main coronary bifurcations.
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).
(2020).
Impact of Curvature, Bifurcation and Stenting on Secondary Flow in Idealised and Realistic Coronary Arteries.
22nd Australasian Fluid Mechanics Conference AFMC2020, Brisbane, Australia.
(2019).
Advanced multi-objective design analysis to identify ideal stent design.
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting.
Contact
- me@ramt.in
- Ainsworth Building, UNSW, Kensington, Sydney, NSW 2052