People

Maryellen L. Giger, PhD

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.



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, lupus, and bone diseases, and now COVID-19.



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



She is a former president of the American Association of Physicists in Medicine and a former president of the SPIE (the International Society of Optics and Photonics) and is 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 260 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., these “virtual biopsies” in imaging genomics association studies for discovery.



She has now 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 Medical Imaging and Data Resource Center (MIDRC; midrc.org).



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.

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

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

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography.
Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. J Med Imaging (Bellingham). 2023 Jul; 10(4):044504.
PMID: 37608852

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. 2023 Aug 21.
PMID: 37602841

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons.
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):61105.
PMID: 37469387

Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect.
Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect. J Med Imaging (Bellingham). 2023 Jul; 10(4):044501.
PMID: 37426053

Machine learning with multimodal data for COVID-19.
Machine learning with multimodal data for COVID-19. Heliyon. 2023 Jul; 9(7):e17934.
PMID: 37483733

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. J Med Imaging (Bellingham). 2023 Nov; 10(6):061104.
PMID: 37125409

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction.
Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction. Cancers (Basel). 2023 Apr 04; 15(7).
PMID: 37046802

MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models.
MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models. Phys Med Biol. 2023 03 23; 68(7).
PMID: 36716497

Patient-specific fetal radiation dosimetry for pregnant patients undergoing abdominal and pelvic CT imaging.
Patient-specific fetal radiation dosimetry for pregnant patients undergoing abdominal and pelvic CT imaging. Med Phys. 2023 Jun; 50(6):3801-3815.
PMID: 36799714

View All Publications

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