Michael Hsieh, MS

Training Background/Current Position

  • Senior Data Analyst, 2016-present, Center for Biomedical Image Computing and Analytics, Perelman School of Medicine at the University of Pennsylvania.
  • Data Analyst, 2012-2016, Center for Biomedical Image Computing and Analytics, University of Pennsylvania

Education

  • M.Sc. Applied Physics, Delft University of Technology, The Netherlands, 2011
  • M.Sc. Automatics and Robotics, Warsaw University of Technology, Poland, 2010
  • B.S. Optomechatronics, National Taiwan University, Taiwan, 2008

Research Projects

Michael primarily involves in brain, breast and lung imaging studies, focusing on image registration, segmentation and statistical analysis.
  • I-SPY
  • BASSER
  • PROSPR
  • IMAGINE
  • CaPTk

Selected Publications

  • Williams AD, So A, Synnestvedt M, Tewksbury CM, Kontos D, Hsieh M, Pantalone L, et al. “Mammographic breast density decreases after bariatric surgery.” Breast Cancer Research and Treatment. June 2017.
  • Nasrallah IM, Chen YJ, Hsieh M, Philips JS, Ternes K, Stockbower G, Sheline Y, et al. “18F-Flortaucipir PET-MRI correlations in non-amnestic and amnestic variants of Alzheimer Disease.” Journal of Nuclear Medicine. July 2017.
  • Gastounioti A, Oustimov A, Hsieh M, Pantalone L, Conant EF, Kontos D. “Mammographic phenotypes of breast cancer risk driven by breast anatomy.” SPIE Medical Imaging. March 2017.
  • Oustimov A, Gastounioti A, Hsieh M, Pantalone L, Conant EF, Kontos D. “Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.” SPIE Medical Imaging. March 2017.
  • Wei D, Weinstein S, Hsieh M, Pantalone L, Schnall M, Kontos D. “Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.” SPIE Medical Imaging. Feb. 2017.
  • Gastounioti A, Oustimov A, Keller BM, Pantalone L, Hsieh M, Conant EF, Kontos D. “Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.” Medical Physics. Nov. 2016.
  • Petrou M, Davatzikos C, Hsieh M, Foerster BR, Albin RL, Kotagal V, Müller ML, et al. "Diabetes, Gray Matter Loss, and Cognition in the Setting of Parkinson Disease." Academic Radiology. May 2016.
  • Espeland MA, Erickson K, Neiberg RH, Jakicic JM, Wadden TA, Wing RR, Desiderio L, et al. “Brain and White Matter Hyperintensity Volumes After 10 Years of Random Assignment to Lifestyle Intervention.” Diabetes Care. May 2016.
  • Gastounioti A, Keller BM, Hsieh M, Conant EF, Kontos D. “Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study.” SPIE Medical Imaging. March, 2016.
  • McCarthy AM, Keller BM, Pantalone L, Hsieh M, Synnestvedt M, Conant EF, Armstrong K, Kontos D. “Racial differences in quantitative measures of area and volumetric breast density.” Journal of the National Cancer Institute. March 2016.
  • Eavani H, Hsieh M, An Y, Erus G, Beason-Held L, Resnick S, Davatzikos C. “Capturing Heterogeneous Group Differences using Mixture-of-Experts: Application to a Study of Aging.” NeuroImage. Jan. 2016.
  • Ou Y, Weinstein SP, Conant EF, Englander S, Da X, Gaonkar B, Hsieh M, et al. “Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.” Magnetic Resonance in Medicine. June 2015.
 
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