PhD, MSc (Hons), BSc
I joined the University of Oxford as a postdoctoral research assistant in May 2023, working jointly between Prof Robin Choudhury's research group in the Division of Cardiovascular Medicine (CVM) at the Oxford John Radcliffe Hospital and the Dr Abhirup Banerjee's research group in the Institute of Biomedical Engineering (IBME) at the University of Oxford. My research work is mainly focused on the real-time analysis of multimodal cardiac imaging data to develop novel automated AI-based tools to deliver an optimal patient-care system in cath. lab. This system would potentially transform the current workflow of subjective interpretations and invasive measurements in cath. lab. environments including automated identification of coronary blockages, measurement of severity, blood flow estimation, myocardial perfusion, etc.
I completed my PhD at the University of Leeds in 2023, under the supervision of Prof. Alejandro Frangi and Prof. Jürgen Schneider. I was an early career researcher funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie innovative training network B-Q MINDED. I developed an in-silico imaging framework for microstructure-sensitive myocardial diffusion-weighted MRI during my PhD. Through this research, I explored the fascinating intersection of computational modelling and diffusion-weighted MRI.
I also hold an MSc in biomedical engineering from the Isfahan University of Medical Science, where I worked with Prof. Hossein Rabbani. The work I did prior to my PhD included the application of inverse problems to image information retrieval.
Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI
Lashgari M. et al, (2022), Medical Image Analysis, 82, 102592 - 102592
Reconstruction of Connected Digital Lines Based on Constrained Regularization
Lashgari M. et al, (2022), IEEE Transactions on Image Processing, 31, 5613 - 5628
Missing Surface Estimation Based on Modified Tikhonov Regularization: Application for Destructed Dental Tissue
Lashgari M. et al, (2018), IEEE Transactions on Image Processing, 27, 2433 - 2446
A comparative study of new and current methods for dental micro-CT image denoising
Shahmoradi M. et al, (2016), Dentomaxillofacial Radiology, 45, 20150302 - 20150302
A fast and accurate dental micro-CT image denoising based on total variation modeling
Lashgari M. et al, (2015), 2015 IEEE Workshop on Signal Processing Systems (SiPS)