Skip to main content

Maciej A Mazurowski

Associate Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical
Box 2731 Med Ctr, Durham, NC 27710
Dept of Radiology, Durham, NC 27710

Current Appointments & Affiliations


Associate Professor of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics
Associate Professor in Radiology · 2024 - Present Radiology, Clinical Science Departments
Associate Professor in the Department of Electrical and Computer Engineering · 2018 - Present Electrical and Computer Engineering, Pratt School of Engineering
Associate Professor of Computer Science · 2021 - Present Computer Science, Trinity College of Arts & Sciences
Member of the Duke Cancer Institute · 2013 - Present Duke Cancer Institute, Institutes and Centers

In the News


Published November 25, 2019
Incubation Awards to Assist Seven Innovative Research Projects Move Toward the Market

View All News

Recent Publications


Open-Weight Language Models and Retrieval-Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and Parameters.

Journal Article Radiol Artif Intell · May 2025 Purpose To develop and evaluate an automated system for extracting structured clinical information from unstructured radiology and pathology reports using open-weight language models (LMs) and retrieval-augmented generation (RAG) and to assess the effects ... Full text Link to item Cite

SegmentAnyBone: A universal model that segments any bone at any location on MRI.

Journal Article Med Image Anal · April 2025 Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive and high-quality insights into the human body. Precise segmentation of the MRIs into different organs and tissues would be very beneficial as it would allow more accurate measu ... Full text Link to item Cite

Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier.

Journal Article Abdom Radiol (NY) · October 2024 Accurate, automated MRI series identification is important for many applications, including display ("hanging") protocols, machine learning, and radiomics. The use of the series description or a pixel-based classifier each has limitations. We demonstrate a ... Full text Link to item Cite
View All Publications

Recent Grants


Building and implementing a TBI prognostic model featuring real-time analysis of brain CT images

ResearchCo Investigator · Awarded by National Institutes of Health · 2022 - 2027

Harmonization of breast MRI data

ResearchPrincipal Investigator · Awarded by National Institute of Biomedical Imaging and Bioengineering · 2022 - 2026

Federated Learning for Postoperative Segmentation of Treated Glioblastoma (FL-PoST)

ResearchMentor · Awarded by American Roentgen Ray Society · 2024 - 2026

View All Grants

Education, Training & Certifications


University of Louisville · 2008 Ph.D.