People

Maryellen L. Giger

Maryellen L. Giger, Ph.D. is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. She is also the Vice-Chair of Radiology (Basic Science Research) and the immediate past Director of the CAMPEP-accredited Graduate Programs in Medical Physics/ Chair of the Committee on Medical Physics at the University.



She can be contacted at m-giger@uchicago.edu.



For over 30 years, she has conducted research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, brain injury, lupus, and bone diseases, and COVID-19.



Over her career, she has served on various NIH, DOD, and other funding agencies’ study sections, and is a former member of the NIBIB Advisory Council of NIH.



She is a former president of the American Association of Physicists in Medicine (AAPM) and a former president of the SPIE (the International Society of Optics and Photonics), and was the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging.



She is a member of the National Academy of Engineering (NAE) and was awarded the William D. Coolidge Gold Medal from the American Association of Physicists in Medicine, the highest award given by the AAPM. She is a Fellow of AAPM, AIMBE, SPIE, SBMR, IEEE, COS, and IAMBE, a recipient of the EMBS Academic Career Achievement Award, the SPIE Director's Award, the SPIE Harrison H. Barrett Award in Medical Imaging, the RSNA Honored Educator Award, and the RSNA Outstanding Researcher Award, and was a Hagler Institute Fellow at Texas A&M University. In 2013, Giger was named by the International Congress on Medical Physics (ICMP) as one of the 50 medical physicists with the most impact on the field in the last 50 years. In 2018, she received the iBIO iCON Innovator award.



She has more than 280 peer-reviewed publications (over 450 publications), has more than 30 patents and has mentored over 100 graduate students, residents, medical students, and undergraduate students.



Her research in computational image-based analyses of breast cancer for risk assessment, diagnosis, prognosis, and response to therapy has yielded various translated components, and she is now using these image-based phenotypes, i.e., “virtual biopsies” in imaging genomics association studies for discovery.



She extended her AI in medical imaging research to include the analysis of COVID-19 on CT and chest radiographs, and is contact PI on the NIH NIBIB-funded & ARPA-H-funded Medical Imaging and Data Resource Center (MIDRC; midrc.org). MIDRC received a 2023 DataWorks Prize from the FASEB and NIH Office of Data Science Strategy: Distinguished Achievement Award, “MIDRC – Sharable Curated Diverse Medical Images at Scale”



She was a cofounder of Quantitative Insights, Inc., which started through the 2009-2010 New Venture Challenge at the University of Chicago. QI produced QuantX, which in 2017, became the first FDA-cleared, machine-learning-driven system to aid in cancer diagnosis (CADx). In 2019, QuantX was named one of TIME magazine's inventions of the year, and was bought by Qlarity Imaging.

Drexel University
Philadelphia, PA
- certificate in Executive Leadership in Academic Technology and Engineering (ELATE)
2015

University of Chicago
Chicago, IL
PhD - medical physics
1985

University of Exeter
Exeter, England
MSc - physics
1979

Illinois Benedictine College
Lisle, IL
BS - physics, math, health science
1978

Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal.
Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal. J Med Imaging (Bellingham). 2024 May; 11(3):034501.
PMID: 38737493

MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis.
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. J Med Imaging (Bellingham). 2024 Mar; 11(2):024504.
PMID: 38576536

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey. J Imaging Inform Med. 2024 Apr 01.
PMID: 38558368

Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data.
Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data. bioRxiv. 2024 Jan 11.
PMID: 38260318

Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors.
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors. J Med Imaging (Bellingham). 2023 Nov; 10(6):064504.
PMID: 38162317

Passing the JMI Torch: Thank You to the Medical Imaging Community for our Amazing Journey.
Passing the JMI Torch: Thank You to the Medical Imaging Community for our Amazing Journey. J Med Imaging (Bellingham). 2023 Nov; 10(6):060101.
PMID: 38213828

U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging.
U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. J Med Imaging (Bellingham). 2023 Nov; 10(6):064502.
PMID: 37990686

Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons.
Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):064501.
PMID: 38074627

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound.
Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investig Clin Urol. 2023 11; 64(6):588-596.
PMID: 37932570

Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.
PMID: 37602841

View All Publications

DataWorks Prize:Distinguished Achievement Award
FASEB and NIH Office of Data Science Strategy
2023 - 2024

Harrison H. Barrett Award in Medical Imaging
SPIE
2022

Lifetime Achievement Award
SDAMPP (Society of Directors of Academic Medical Physics Programs)
2022

Honored Educator Award
RSNA
2022

Outstanding Researcher Award
RSNA
2022

Aunt Minnie Finalist for Most Influential Radiology Researcher
Aunt Minnie
2022

Fellow
Chinese Optical Society (COS)
2021

Directors' Award
SPIE
2021

Distinguished Investigator Award (senior faculty category)
BSD, University of Chicago
2021

Honored Educator Award
RSNA
2020

Lifetime Achievement Award
Upstate New York chapter of the AAPM (UNYAPM)
2020

Fellow
IAMBE (International Academy of Medical & Biological Engineering)
2019

Top 100 Inventions of 2019, for QuantX
TIME magazine
2019

Fellow
Society of Breast MRI (SBMR)
2018

Crain's Chicago Notable Women in Education
Crain's Chicago
2018

iCON Innovator Award
IBIO Institute
2018

Hagler Institute Fellow
Texas A & M University
2017 - 2020

Fellow
IEEE
2016

Academic Career Achievement Award
Engineering in Medicine and Biology Society (EMBS)
2016

Visionary Award
Benedictine University
2015

William D. Coolidge Gold Medal
American Association of Physicists in Medicine (AAPM)
2015

Distinguished Investigator
Academy of Radiology Research
2015

Fellow
SPIE
2014

Distinguished Science Alumni Award
Benedictine University
2014

Named by the International Congress on Medical Physics (ICMP) as one of the 50 medical physicists wi
2013

Elected National Academy of Engineering
National Academy of Engineering
2010

Excellence Award
University of Chicago Paul Hodges Alumni Society
2009

Distinguished Alumni Award
Benedictine University
2006

Senior Member
IEEE
2005

Third Vice President (Honorary)
RSNA
2005

Fellow
AAPM
2001

Fellow
AIMBE
2000

Stauffer Award, Academic Radiology
1995

Sylvia Sorkin Greenfield Award
AAPM
1995

First Place Award, Young Investigators' Symposium
AAPM
1985

B.S. summa cum laude
Illinois Benedictine College
1978

Procopian Award
Illinois Benedictine College
1978

Rotary International Fellowship
1978 - 1979

Rev. Shonka, O.S.B. Scholarship Award in Physics
Illinois Benedictine College
1977

President's Scholarship Award
Illinois Benedictine College
1975 - 1977