Maciej A Mazurowski


Associate Professor in Radiology

Appointments and Affiliations

  • Associate Professor in Radiology
  • Associate Professor in the Department of Electrical and Computer Engineering
  • Associate Professor in Biostatistics and Bioinformatics
  • 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

  • BIOSTAT 824: Case Studies in Biomedical Data Science
  • ECE 493: Projects in Electrical and Computer Engineering
  • MEDPHY 762: Data Science

In the News

Representative Publications

  • Buda, M; Wildman-Tobriner, B; Castor, K; Hoang, JK; Mazurowski, MA, Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images., Ultrasound Med Biol, vol 46 no. 2 (2020), pp. 415-421 [10.1016/j.ultrasmedbio.2019.10.003] [abs].
  • Grimm, LJ; Mazurowski, MA, Breast Cancer Radiogenomics: Current Status and Future Directions., Acad Radiol, vol 27 no. 1 (2020), pp. 39-46 [10.1016/j.acra.2019.09.012] [abs].
  • Mazurowski, MA, Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers., Acad Radiol, vol 27 no. 1 (2020), pp. 127-129 [10.1016/j.acra.2019.04.024] [abs].
  • Zhu, Z; Harowicz, M; Zhang, J; Saha, A; Grimm, LJ; Hwang, ES; Mazurowski, MA, Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ., Comput Biol Med, vol 115 (2019) [10.1016/j.compbiomed.2019.103498] [abs].
  • Buda, M; Wildman-Tobriner, B; Hoang, JK; Thayer, D; Tessler, FN; Middleton, WD; Mazurowski, MA, Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists., Radiology, vol 292 no. 3 (2019), pp. 695-701 [10.1148/radiol.2019181343] [abs].