Maciej A Mazurowski

Maciej A Mazurowski

Associate Professor in Radiology

Appointments and Affiliations

  • Associate Professor in 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:


  • Ph.D. University of Louisville, 2008

Courses Taught

  • MEDPHY 762: Data Science

Representative Publications

  • Harowicz, MR; Saha, A; Grimm, LJ; Marcom, PK; Marks, JR; Hwang, ES; Mazurowski, MA, Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?, Journal of Magnetic Resonance Imaging, vol 46 no. 5 (2017), pp. 1332-1340 [10.1002/jmri.25655] [abs].
  • Saha, A; Yu, X; Sahoo, D; Mazurowski, MA, Effects of MRI scanner parameters on breast cancer radiomics, Expert Systems with Applications, vol 87 (2017), pp. 384-391 [10.1016/j.eswa.2017.06.029] [abs].
  • Grimm, LJ; Zhang, J; Baker, JA; Soo, MS; Johnson, KS; Mazurowski, MA, Relationships Between MRI Breast Imaging-Reporting and Data System (BI-RADS) Lexicon Descriptors and Breast Cancer Molecular Subtypes: Internal Enhancement is Associated with Luminal B Subtype., The Breast Journal, vol 23 no. 5 (2017), pp. 579-582 [10.1111/tbj.12799] [abs].
  • Mazurowski, MA; Clark, K; Czarnek, NM; Shamsesfandabadi, P; Peters, KB; Saha, A, Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data., Journal of Neuro-Oncology, vol 133 no. 1 (2017), pp. 27-35 [10.1007/s11060-017-2420-1] [abs].
  • 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].