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Stephen Bhagroo

Stephen Bhagroo, MS, PhD

Languages spoken: English

Academic Information

Departments Primary - Radiation Oncology

Academic Office Information

stephen.bhagroo@hci.utah.edu

801-581-2396

Board Certification

  • American Board of Radiology (Medical Physics)

Stephen Bhagroo, MS, PhD, is an Assistant Professor at the University of Utah School of Medicine and a Medical Physicist in the Department of Radiation Oncology at Huntsman Cancer Hospital (HCH). Dr. Bhagroo received his B.S. in physics from the City College of New York (CUNY) and completed his M.S. and doctoral work at the University at Buffalo, where his thesis and dissertation focused on Monte Carlo simulations for Radiotherapy. He completed his residency in Clinical Medical Physics at Huntsman Cancer Hospital in 2023. His clinical research interests include FMEA analyses of clinical workflows, quality control for automation and stereotactic radiosurgery.

Education History

Residency University of Utah Huntsman Cancer Institute
Resident
State University of New York at Buffalo
PhD
Graduate Training State University of New York at Buffalo
MSc
City College of the City University of New York
BSc
Residency New York University

Selected Publications

Journal Article

  1. Mathews J, French SB, Bhagroo S, Pant A, Nazareth DP (2020). Enhanced optimization of volumetric modulated arc therapy plans using Monte Carlo generated beamlets. Med Phys, 47(12), 6053-6067. (Read full article)
  2. Bhagroo S, French SB, Mathews JA, Nazareth DP (2019). Secondary monitor unit calculations for VMAT using parallelized Monte Carlo simulations. J Appl Clin Med Phys, 20(6), 60-69. (Read full article)
  3. French SB, Bhagroo S, Nazareth DP, Podgorsak MB (2017). Adapting VMAT plans optimized for an HD120 MLC for delivery with a Millennium MLC. J Appl Clin Med Phys, 18(5), 143-151. (Read full article)
  4. Russell S, Nguyen TA, Torres CR, Bhagroo S, Russell MJ, Alfano RR (2013). Spatial frequency analysis of high-density lipoprotein and iron-oxide nanoparticle transmission electron microscope image structure for pattern recognition in heterogeneous fields. J Biomed Opt, 19(1), 15004. (Read full article)