Zohaib Iqbal, Ph.D., received his bachelor’s degree in physics from The College of New Jersey, and his M.S. and Ph.D. in biomedical physics from the University of California at Los Angeles. After that, Dr. Iqbal completed his medical physics residency in the Department of Radiation Oncology at UT Southwestern Medical Center. Following graduation, he was an Assistant Professor at the University of Alabama in Birmingham for two years. In 2022, he joined UT Southwestern’s Department of Radiation Oncology as an Assistant Professor in the Division of Medical Physics and Engineering.

Research Interest

  • Adaptive radiation therapy
  • Artificial intelligence in medicine
  • MR spectroscopy


The accuracy of artificial intelligence deformed nodal structures in cervical online cone-beam-based adaptive radiotherapy
Wang E, Yen A, Hrycushko B, Wang S, Lin J, Zhong X, Dohopolski M, Nwachukwu C, Iqbal Z, Albuquerque K Physics and Imaging in Radiation Oncology 2024 Jan 29
Stability and reproducibility comparisons between deep inspiration breath-hold techniques for left-sided breast cancer patients: A prospective study
Parsons D, Joo M, Iqbal Z, Godley A, Kim N, Spangler AE, Albuquerque K, Sawant A, Zhao B, Gu X, Rahimi A Journal of applied clinical medical physics 2023 May 24
Dictionary learning compressed sensing reconstruction: pilot validation of accelerated echo planar J-resolved spectroscopic imaging in prostate cancer
Joy A, Nagarajan R, Saucedo A, Iqbal Z, Sarma MK, Wilson N, Felker E, Reiter RE, Raman SS, Thomas MA Magnetic Resonance Materials in Physics, Biology and Medicine 2022 Aug 35 667-682
Volumetric Modulated Arc Therapy Enabled Total Body Irradiation (VMAT-TBI): Six-year Clinical Experience and Treatment Outcomes
Zhang-Velten ER, Parsons D, Lee P, Chambers E, Abdulrahman R, Desai NB, Dan T, Wardak Z, Timmerman R, Vusirikala M, Patel PA, Simms-Waldrip T, Aquino V, Koh A, Tan J, Iqbal Z, Zhang Y, Reynolds Jr. RR, Chiu T, Joo M, Hrycushko B, Ouyang L, Lamphier R, Yan Y, Jiang SB, Kumar KA, Gu X Transplantation and Cellular Therapy 2022 Feb 28 113.e1-113.e8
Deep learning can accelerate and quantify simulated localized correlated spectroscopy
Iqbal Z, Nguyen D, Thomas MA, Jiang S Scientific reports 2021 Dec 11
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
Nguyen D, Long T, Jia X, Lu W, Gu X, Iqbal Z, Jiang S Scientific reports 2019 Dec 9
Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
Iqbal Z, Nguyen D, Hangel G, Motyka S, Bogner W, Jiang S Frontiers in Oncology 2019 Oct 9
Modeling Elekta VersaHD using the Varian Eclipse treatment planning system for photon beams: A single-institution experience
Zhang Y, Le AH, Tian Z, Iqbal Z, Chiu T, Gu X, Pugachev A, Reynolds R, Park YK, Lin MH, Stojadinovic S Journal of applied clinical medical physics 2019 Oct 20 33-42
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
Nguyen D, Jia X, Sher D, Lin MH, Iqbal Z, Liu H, Jiang S Physics in medicine and biology 2019 64
Echo-Planar J-resolved Spectroscopic Imaging using Dual Read-outs: Implementation and Quantitation of Human Brain Metabolites
Sarma MK, Nagarajan R, Iqbal Z, Macey PM, Thomas MA Scientific reports 2017 Dec 7

Honors & Awards

  • Dissertation Year Fellowship, UCLA
  • Magna Cum Laude Abstract Merit Award, International Society for Magnetic Resonance in Medicine
  • Merit-Based Scholarship, The College of New Jersey, Ewing

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2018)
  • Task Group 370 Committee (2021)