Maciej A Mazurowski

Maciej A Mazurowski

Assistant Professor of Radiology

Appointments and Affiliations

  • Assistant Professor of Radiology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Member of the Duke Cancer Institute

Contact Information

  • Office Location: Dept of Radiology, Durham, NC 27710
  • Office Phone: (919) 684-1440
  • Email Address: maciej.mazurowski@duke.edu

Education

  • Ph.D. University of Louisville, 2008

Courses Taught

  • MEDPHY 762: Data Science

Representative Publications

  • Wildman-Tobriner, B; Allen, BC; Bashir, MR; Camp, M; Miller, C; Fiorillo, LE; Cubre, A; Javadi, S; Bibbey, AD; Ehieli, WL; McGreal, N; Quevedo, R; Thacker, JK; Mazurowski, M; Jaffe, TA, Structured reporting of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians., Abdominal radiology (New York) (2017) [10.1007/s00261-017-1136-1] [abs].
  • Czarnek, N; Clark, K; Peters, KB; Mazurowski, MA, Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study., Journal of Neuro-Oncology, vol 132 no. 1 (2017), pp. 55-62 [10.1007/s11060-016-2359-7] [abs].
  • Tanpitukpongse, TP; Mazurowski, MA; Ikhena, J; Petrella, JR, Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter?, American Journal of Neuroradiology, vol 38 no. 3 (2017), pp. 546-552 [10.3174/ajnr.a5061] [abs].
  • Harowicz, MR; Robinson, TJ; Dinan, MA; Saha, A; Marks, JR; Marcom, PK; Mazurowski, MA, Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset., Breast Cancer Research and Treatment, vol 162 no. 1 (2017), pp. 1-10 [10.1007/s10549-016-4093-4] [abs].
  • Wang, M; Wang, M; Grimm, LJ; Mazurowski, MA, A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases, Expert Systems with Applications, vol 64 (2016), pp. 490-499 [10.1016/j.eswa.2016.08.023] [abs].