John Hoffman
Hello!
This website is largely an effort to archive and keep a record of my work, as well as a sort of business card for my experience. Please feel free to reach out if you'd like to collaborate or hire me for consulting work.
JMH - December 28, 2023
Websites
Research Interests
My research interests include 3D image and surface reconstruction, quantitative imaging and computer vision, and computational geometry. Additionally, I aim to incorporate automation, high-performance, and parallel computing into my research workflows to accelerate the amount of data we are able to consider and generate.
Academics
- Ph.D. Biomedical Physics, UCLA, Los Angeles, CA (dissertation)
- B.S. Physics, Virginia Tech, Blacksburg, VA
- B.S. Mathematics, Virginia Tech, Blacksburg, VA
Job Experience
- Assistant Adjunct Professor, UCLA Radiological Sciences. May 2022, Present
- Lead Software Development Engineer, Magic Leap. April 2022, February 2022
- Computer Vision Engineer, 3D Reconstruction, Magic Leap. December 2018, April 2021
- Independent Contractor, iTomography. December 2017, May 2019
- Imaging Scientist, Toshiba (now Canon) Medical Research USA, Inc.. October 2016, December 2017
Selected Publications
- (link)(pdf) Scott Hsieh, John Hoffman, Frédéric Noo, Accelerating Iterative Coordinate Descent Using a Stored System Matrix. Medical Physics 46(12), e801-e809. (2019)
- (link)(pdf) John Hoffman, Nastaran Emaminejad, M. Wasil Wahi-Anwar, Grace Hyun J. Kim, Matthew Brown, Stefano Young, Michael McNitt-Gray, Technical Note: Design and implementation of a high‐throughput pipeline for reconstruction and quantitative analysis of CT image data. Medical Physics 46(5), 2310-2322. (2019)
- (link)(pdf) John Hoffman, Frédéric Noo, Stefano Young, Scott Hsieh, Michael McNitt-Gray, Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigations. Medical Physics 45(8), 3591-3603. (2019)
- (link)(pdf) Thomas Martin, John Hoffman, Jeffrey Alger, Michael McNitt-Gray, Danny Wang, Low‐dose CT perfusion with projection view sharing. Medical Physics 45(1), 101-113. (2017)
- (link)(pdf) John Hoffman, Stefano Young, Frédéric Noo, Michael McNitt-Gray, Technical Note: FreeCT_wFBP: A robust, efficient, open‐source implementation of weighted filtered backprojection for helical, fan‐beam CT. Medical Physics 43(3), 1411-1420. (2016)
Selected Abstracts
- (poster) Morgan A. Daly, John M. Hoffman, Using fully synthetic training data to automate clinical CT-ACR phantom analysis. Annual Meeting of the RSNA, Chicago, IL, (December 2023)
- (link) Spencer Welland, Grace H.J. Kim, Anil Yadav, John M. Hoffman, Will Hsu, Matthew S. Brown, Elham Tavakkol, Kambiz Nael, Michael F. McNitt-Gray, Assessing variability in non-contrast CT for the evaluation of stroke: the effect of CT image reconstruction conditions on AI-based CAD measurements of ASPECTS value and hypodense volume. SPIE Medical Imaging 2024, San Diego, CA, (February 2024)
- (link) Morgan A. Daly, John M. Hoffman, et al (13 additional authors), Harmonizing quantitative imaging feature values in CT using image quality metrics as a basis . SPIE Medical Imaging 2024, San Diego, CA, (February 2024)
- (link) Joshua H. Genender, John M. Hoffman, A single-file implementation of the DICOM-CT-PD raw projection data storage format. SPIE Medical Imaging 2024, San Diego, CA, (February 2024)
- (link) John Hoffman, Frédéric Noo, Michael McNitt-Gray, An analytic, physics-based approach to scoring emphysema in lung CT patients. SPIE Medical Imaging, San Diego, CA, (February 2023)
- John Hoffman, Scott Hsieh, Frédéric Noo, Michael McNitt-Gray, FreeCT ICD: Free, Open-Source MBIR Reconstruction Software for Diagnostic CT. The Fifth International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, UT, (May 2018)
- John Hoffman, Frédéric Noo, Michael McNitt-Gray, Influence of tube current modulation on Noise Statistics of reconstructed images in low-dose lung cancer CT screening. AAPM Annual Meeting, Denver, CO, (August 2017)
- John Hoffman, Grace Hyun J. Kim, Jonathan Goldin, Matthew Brown, Michael McNitt-Gray, A Pilot Study Evaluating the Robustness of Density Mask Scoring (RA-950), a Quantitative Measure of Chronic Obstructive Pulmonary Disease, to CT Parameter Selection Using a High-Throughput, Automated, Computational Research Pipeline. AAPM Annual Meeting, Denver, CO, (August 2017)
- John Hoffman, Frédéric Noo, Stefano Young, Michael McNitt-Gray, Tailoring TCM Schemes to a Task: Evaluating the Impact of Customized TCM Profiles on Detection of Lung Nodules in Simulated CT Lung Cancer Screening. AAPM Annual Meeting, Washington, DC, (August 2016)