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Evan Porter

Evan Porter, PhD

Assistant Professor of Clinical Medical Physics
Division of Physics
Department of Radiation Oncology

Espresso Enthusiast & Cinephile

Meet Dr. Porter

“I am dedicated to advancing medical physics research to enhance patient safety and make a meaningful impact on our patient’s lives.”

 

Evan Porter, PhD, is an Assistant Professor at the UCSF Department of Radiation Oncology. He received his bachelor’s degree in physics from Grinnell College in 2017, and his PhD in Medical Physics from Wayne State Univeristy in 2022. Afterwards, Dr. Porter trained at UCSF and completed his residency in theraputic medical physics in 2024. His research interests include brain metastases, deep learning, large data processing and clinical software development.

 

Education

Education

2022-2024 University of California, San Francisco Residency in Therapeutic Medical Physics Radiation Oncology
2022 Wayne State University, Detroit, MI PhD  Medical Physics
2017 Grinnell College, Grinnell IA BA  Physics

 

Professional Experience

Professional Experience

2022-2024 UCSF, Department of Radiation Oncology Medical Physics Resident

Awards & Honors

2024 AAPM Summer School Scholarship AAPM
2024 3rd Place Young Investigator Symposium AAPM Spring Clinical
2021 Early Career Investigator Innovation Award AAPM Practical Big Data Workshop

 

Publications

Selected Publications, Abstracts, & Posters

Publications

  • Porter E, Myziuk N, Quinn T, et al. Synthetic Pulmonary Perfusion Images from 4DCT for Functional Avoidance using Deep Learning. Physics in Medicine & Biology. 2021;66(17):1750‐55.
  • Porter E, Fuentes P, Siddiqui ZA, et al. Hippocampus Segmentation on Noncontrast CT using Deep Learning. Medical Physics . 2020;47(7):2950‐61.
  • Yin R, Foiles D, Nazarov O, Porter E, Hasagawa K. Localized Surface Plasmon Resonance Spectroscopy for the Detection of Microtubule Nucleation. Biophysical Journal. 2020;118(3):471a.
  • Hasagawa K, Porter E, Nazarov O. Analysis of Homogeneous Layer Approximations in the Modeling of Localized Surface Plasmon Resonance Biosensors. Appl Opt, AO. 2019;58(24):6519‐27.
  • Hasagawa K, Nazarov O, Porter E. LSPR Biosensing Approach for the Detection of Microtubule Nucleation. Sensors (Basel) . 2019;19(6).
  • Porter E, Guerrero T, et al. Gamma Knife MR/CT/RTSTRUCT Sets with Hippocampal Contours. The Cancer Imaging Archive. 2022.
  • Porter E, Solis D, Bruckmeier P, et al. Effect of Loss Functions in Deep Learning‐Based Segmentation. Auto‐ Segmentation for Radiation Oncology . CRC Press. 2021;133‐150

Abstracts

  • Liang J, Porter E, et al. Tracking Diaphragm Motion on During‐Treatment Cone Beam Projection Images Using Normalizer‐ Free ResNet50. Medical Physics. To be presented at AAPM 2022.
  • Mumaw D, Porter E, et al. Deep Learning for Contour Quality Assurance on RTOG 0933. International Journal of Radiation Oncology • Biology • Physics . To be presented at ASTRO 2022.
  • Myziuk N, Porter E, Snyder M. DNA‐scale dose deposition surrounding heavy‐metal nanoparticles irradiated with a monoenergetic kilovoltage‐energy beam. Medical Physics . 2021;48(6).
  • Lozano D, Porter E, Guerrero T. Deriving Pulmonary Perfusion Images from 4DCT using Deep Learning. Journal of Thoracic Oncology .2021;16(3):S137.
  • Salari K, Porter E, Levitin L, et al. Validation of Deep‐Learning Based Auto‐segmentation of the Lens, Optic Nerves, and Chiasm for Stereotactic Radiosurgery. International Journal of Radiation Oncology • Biology • Physics . 2020;108(3):e784‐ 5.
  • Grzywacz V, Levitin R, Porter E, et al. Analysis of Parotid and Lacrimal Gland Radiation Dose in Hippocampal‐Avoiding Whole Brain Radiotherapy. International Journal of Radiation Oncology • Biology • Physics . 2020;108(3):e368‐9.
  • Thompson A, Siddiqui ZA, Porter E, Guerrero TM. A Novel Deep Learning Architecture for Deformable Image Registration Applied to Image‐Guided Radiotherapy. International Journal of Radiation Oncology • Biology • Physics . 2019;105(1):e129.
  • Thompson A, Siddiqui ZA, Porter E, et al . DVH Analysis: A Custom, Scalable Software Platform Designed for Flexible Dosimetric Quantitative Evaluation. International Journal of Radiation Oncology • Biology • Physics . 2019;105(1):S199.
  • Porter E, Fuentes P, Siddiqui ZA, et al . Hippocampal Segmentation from CT Scans with a Convolutional Neural Network. Medical Physics . 2019;46(6):e431.
  • Vu C, Porter E, Fuentes P, Guerrero T. Deep convolutional neural networks for automatic segmentation of the hippocampus on MRI scans. ACRO , Orlando FL, USA. 2019.

Posters

  • Porter E, Siddiqui ZA, Guerrero T. A DICOM Organization and Reconstruction Toolkit Written in Python. AAPM Practical Big Data Workshop , Virtual, Sept. 2021.
  • Porter E, Fuentes P, Siddiqui ZA, et al . Hippocampal Segmentation from CT Scans with a Convolutional Neural Network. American Association of Physicists in Medicine Annual Meeting, San Antonio TX, July 2019.

 

Redefining Possible