Anahita Fathi Kazerooni, Ph.D.

Postdoctoral Researcher

Anahita Fathi Kazerooni

Artificial Intelligence in Biomedical Imaging Lab (AIBIL)
Center for Biomedical Image Computing & Analytics (CBICA)
Department of Radiology
Perelman School of Medicine
University of Pennsylvania



Richards Labs, Suite 700D
3700 Hamilton Walk
Philadelphia, PA 19104

Google Scholar

Educational Background

Ph.D. in Biomedical Engineering, Tehran University of Medical Sciences, Iran

Research Summary

My general research interest includes development of non-invasive predictive biomarkers via biophysical quantification of MRI contrasts and machine learning to aid personalized treatment planning in oncology. 


  • Trainee Deputy Editor, Journal of Magnetic Resonance Imaging
  • Research Scholar, University of Sheffield, UK
  • Chief Operating Officer, QMISG Education, Iran
  • Research Associate, QMISG Research, Iran
  • Teaching Assistant, Tehran University of Medical Sciences, Iran


I graduated with an M.Sc. and PhD in Biomedical Engineering at Tehran University of Medical Sciences (TUMS), Iran. My M.Sc. research was focused on developing image processing tools for brain shift correction and deformation estimation during image-guided neurosurgeries in patients with glioma tumors, based on MRI scans. The brain shift that occurs during brain surgeries challenge the precision of navigation surgeries with pre-surgical plans designed on pre-operative MRI scans. My study also included calibration of navigation systems using a uniquely designed phantom.

My PhD research was on quantitative magnetic resonance imaging (qMRI) techniques in oncology under supervision of Dr. Hamidreza Saligheh Rad at Quantitative MR Imaging and Spectroscopy Group (QMISG). I implemented quantification methods (hemodynamic/pharmacokinetic models) for analyzing perfusion (DSC, DCE) MRI techniques in different oncological applications, with a focus on brain tumors and ovarian cancers. Noticing inter- and intra-tumor heterogeneity in brain tumors and ovarian cancers, I extended my quantitative MRI research to integration of multi-parametric MRI scans with perfusion imaging, through radiomics approaches.

I was a chief operating officer at QMISG Education, Iran, and was responsible for planning and organizing educational MRI courses and workshops for professionals, including radiologists and MRI technologists, and students, in different cities. The courses and events were certified with Iranian CME credits. Over the course of 2 years, we educated around 800 professionals. I was also was a teacher and speaker at several courses and workshops.

I have been an active trainee member of the International Society for Magnetic Resonance in Medicine (ISMRM) and had several oral presentations at ISMRM annual meetings. I was selected as the first trainee deputy editor for the Journal of Magnetic Resonance Imaging (JMRI), one of the two main ISMRM journals. 
I moved to Philadelphia in September 2018 to work as a postdoctoral research fellow with Professor Christos Davatzikos at the University of Pennsylvania. At UPenn, I have been given the opportunity to work on prediction of progression-free survival (PFS) and radiogenomics signatures in patients with glioblastoma tumors.