Zaid Siddiqui, MD

  • Assistant Professor, Department of Radiation Oncology

I am a clinician-investigator in Radiation Oncology at the University of Pittsburgh Medical Center. As an undergraduate at the University Chicago, I majored in Biological Chemistry and Economics. I completed medical school at Loyola University Chicago and residency at William Beaumont Hospital, completing a research year with RSNA funding as a PI on a project to utilize convolutional neural networks for quality assurance during radiation therapy. My goals are to establish a research program utilizing computational analysis of medical imaging to improve therapy outcomes and of live cell imaging to enrich translational biology research.

Representative Publications

  1. Porter EM, Myziuk NK, Quinn TJ, Lozano D, Peterson AB, Quach DM, Siddiqui ZA, Guerrero TM. Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning. Physics in Medicine & Biology. 2021 Aug 23;66(17):175005.
  2. Porter E, Solis D, Bruckmeier P, Siddiqui ZA, Zamdborg L, Guerrero T. Effect of Loss Functions in Deep Learning-Based Segmentation. InAuto-Segmentation for Radiation Oncology 2021 Apr 18 (pp. 133-150). CRC Press.
  3. Porter E, Fuentes P, Siddiqui Z, Thompson A, Levitin R, Solis D, Myziuk N, Guerrero T. Hippocampus segmentation on noncontrast CT using deep learning. Medical physics. 2020 Jul;47(7):2950-61.
  4. Vu CC, Siddiqui ZA, Zamdborg L, Thompson AB, Quinn TJ, Castillo E, Guerrero TM. Deep convolutional neural networks for automatic segmentation of thoracic organs‐at‐risk in radiation oncology–use of non‐domain transfer learning. Journal of Applied Clinical Medical Physics. 2020 Jun;21(6):108-13.

Research Interests

  • Convolutional Neural Networks for Radiation Quality Assurance
  • Time-series computational imaging and machine learning models on oncology imaging to inform cancer care outcomes
  • Live-cell imaging for high-resolution genotype/phenotype matching

Research Grants

July 2020 – June 2023 Funder: UPMC Hillman Cancer Center (Startup Funding)
Title: Machine Learning in Preclinical and Clinical Oncology
Role: Principal Investigator
July 2018 – June 2019 Funder: RSNA R&E Foundation
Title:  A Deep Learning Framework for Radiotherapy Delivery in Thoracic Oncology
Role: Principal Investigator