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.
(In preparation) Hoffman, J., Kim, G., Young, S., McNitt-Gray, M. Evaluating the Effects of a Range of Acquisition and Reconstruction Parameters on a Quantitative CT Imaging Task: Application of the Pipeline to Evaluate Quantitative Measures of Emphysema in a Large Lung Screening Cohort. (2020).
(link) Hsieh, Scott S., Hoffman, John M., Noo, F. Accelerating Iterative Coordinate Descent Using a Stored System Matrix. Medical Physics 46(12), e801-e809 (2019).
(link) Hoffman, J., Kim, G., Young, S., McNitt-Gray, M. 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) Zhao, T., Hoffman, J., McNitt-Gray, M., Ruan, D. Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics. Medical Physics, 46(1), 190-198 (2018).
(link) Hoffman, J. , Noo, F.1, Young, S.1, Hsieh, S., McNitt-Gray, M. 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, (2018)
(link) T. Martin, J. Hoffman, J.R. Alger, M. Mcnitt-Gray, and D.J. Wang, Low-dose CT perfusion with projection view sharing. Medical Physics, 45(1), 101–113 (2017).
(link) Young, S., Lo, P., Kim, G., Brown, M., Hoffman, J., Hsu, W., … McNitt-Gray, M. The Effect of Radiation Dose Reduction on Computer-Aided Detection (CAD) Performance in a Low-Dose Lung Cancer Screening Population. Medical Physics, 44(4), 1337–1346, (2017).
(link) Hoffman, J., Young, S., Noo, F., & McNitt-Gray, M. Technical Note: FreeCT_wFBP: A Robust, Efficient, Open-Source Implementation of Weighted Filtered Backprojection for Helical, Fan-Beam CT. Medical Physics, 43, 10 pp., (2016).
(slides) “Imaging Is a Numbers Game: Challenges and Breakthroughs in CT Quantitative Imaging.” Imaging Elevated: Utah Symposium for Emerging Investigators. September 29-30, 2017. University of Utah, Salt Lake City UT.
“High Throughput Computing in Quantitative CT Imaging: Development and Applications.” PKU-UCLA Joint Research Institute in Science and Engineering. 8th Annual Symposium. June 29-30, 2017. Peking University, Beijing, China.