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University of California San Francisco

Our Team

Michael Gribble, MD

Michael Gribble, MD

Education

Education

  • Radiation Oncology Medical Residency Training Program, University of California, San Francisco (2024 – 2028)
  • Transitional Year Internship, Riverside Community Hospital (2023-2024)
  • M.D., Keck School of Medicine of the University of Southern California (2019-2023)
  • B.S., Biology, summa cum laude, Pepperdine University (2013-2017)

Awards & Honors

  • Academic Distinction, Keck School of Medicine of the University of Southern California (2023)
  • Donald E. & Delia B. Baxter Foundation Research Fellowship (2020)
  • National Science Foundation Research Fellowship (2016)
  • The Explorer’s Club Research Grant (2015)
  • Natural Science Division Award, Pepperdine University (2014-2017)
  • Dean’s List, Pepperdine University (2013-2017)

Selected Publications, Abstracts, and Posters

  • Vassantachart A, Cao Y, Shen Z, Cheng K, Gribble M, Ye JC, Zada G, Hurth K, Mathew A, Guzman S, Yang W. A repository of grade 1 and 2 meningioma MRIs in a public dataset for radiomics reproducibility tests. Med Phys. 2024 Mar;51(3):2334-2344. doi: 10.1002/mp.16763. Epub 2023 Oct 10. PMID: 37815256; PMCID: PMC10939960.
  • Cao Y, Vassantachart A, Ragab O, Bian S, Mitra P, Xu Z, Gallogly AZ, Cui J, Shen ZL, Balik S, Gribble M, Chang EL, Fan Z, Yang W. Automatic segmentation of high-risk clinical target volume for tandem-and-ovoids brachytherapy patients using an asymmetric dual-path convolutional neural network. Med Phys. 2022 Mar;49(3):1712-1722. doi: 10.1002/mp.15490. Epub 2022 Feb 4. PMID: 35080018; PMCID: PMC9170543.
  • Vassantachart A, Cao Y, Gribble M, Guzman S, Ye JC, Hurth K, Mathew A, Zada G, Fan Z, Chang EL, Yang W. Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. Sci Rep. 2022 Mar 9;12(1):3806. doi: 10.1038/s41598-022-07859-0. PMID: 35264655; PMCID: PMC8907289.
  • Gribble M., Vassantachart A., Cao Y., & Yang W. (2021, May 24). Predicting Meningioma Grade on Magnetic Resonance Imaging using a Convoluted Neural Network. Baxter Foundation Research Symposium/Los Angeles, CA, USA.
  • Vassantachart A., Cao Y., Gribble M., Guzman S., Ye J.C., Hurth K., Mathew A., Zada G., Fan Z., Chang E.L., & Yang W. (2022, October 26). Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. ASTRO/San Antonio, TX, USA.
  • Fasel G.J., Brandt T.G., Rothballer A., Fox B., Booth A., Gribble M., Nam C., Grittner P., Chibwe K., Harper E., Joubert L., Cook D., Kim U., Lockwood R., Raeth S., Lammerding C., Riley J., Golla A., Sigernes F., Lorentzen D.A., Mills J., & Frizzelle K. (2016, December 14). The Brightening History of Poleward-Moving Auroral Forms. American Geophysical Union/San Francisco, CA, USA.
  • Gribble M., Burns A.S., & Stewart F.J. (2016, November 12). Salt Marsh Sediment Microbial Structure with Links to Iron-Sulfur Cycle. Southern California Conference for Undergraduate Research/Riverside, CA, USA.

Redefining Possible