People

Maryellen L. Giger, PhD

  • A.N. Pritzker Distinguished Service Professor of Radiology
    Committee on Medical Physics
  • Research and Scholarly Interests: computer-aided diagnosis, machine learning, breast cancer, deep learning, radiomics, COVID-19
  • Websites: Research Network Profile
  • Contact: l332@uchicago.edu
  • Graduate Program: Medical Physics

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.



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 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, and IAMBE, a recipient of the EMBS Academic Career Achievement Award, and 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 200 peer-reviewed publications (over 300 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 PI on the NIH NIBIB-funded Medical Imaging and Data Resource Center (MIDRC).



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

Lessons learned in transitioning to AI in the medical imaging of COVID-19.
El Naqa I, Li H, Fuhrman J, Hu Q, Gorre N, Chen W, Giger ML. Lessons learned in transitioning to AI in the medical imaging of COVID-19. J Med Imaging (Bellingham). 2021 Jan; 8(Suppl 1):010902-10902.
PMID: 34646912

Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19.
Hu Q, Drukker K, Giger ML. Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19. J Med Imaging (Bellingham). 2021 Jan; 8(Suppl 1):014503.
PMID: 34595245

Multi-Stage Harmonization for Robust AI across Breast MR Databases.
Whitney HM, Li H, Ji Y, Liu P, Giger ML. Multi-Stage Harmonization for Robust AI across Breast MR Databases. Cancers (Basel). 2021 Sep 26; 13(19).
PMID: 34638294

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
Li F, Armato SG, Engelmann R, Rhines T, Crosby J, Lan L, Giger ML, MacMahon H. Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
PMID: 34327625

Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths.
Whitney HM, Drukker K, Edwards A, Papaioannou J, Medved M, Karczmar G, Giger ML. Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging. 2021 10; 82:111-121.
PMID: 34174331

Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.
Durkee MS, Abraham R, Clark MR, Giger ML. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images. Am J Pathol. 2021 10; 191(10):1693-1701.
PMID: 34129842

Enhanced detection of oral dysplasia by structured illumination fluorescence lifetime imaging microscopy.
Hinsdale TA, Malik BH, Cheng S, Benavides OR, Giger ML, Wright JM, Patel PB, Jo JA, Maitland KC. Enhanced detection of oral dysplasia by structured illumination fluorescence lifetime imaging microscopy. Sci Rep. 2021 Mar 02; 11(1):4984.
PMID: 33654229

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.
Hu Q, Whitney HM, Li H, Ji Y, Liu P, Giger ML. Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI. Radiol Artif Intell. 2021 May; 3(3):e200159.
PMID: 34235439

Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis.
Mota SM, Rogers RE, Haskell AW, McNeill EP, Kaunas R, Gregory CA, Giger ML, Maitland KC. Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis. J Med Imaging (Bellingham). 2021 Jan; 8(1):014503.
PMID: 33542945

Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis.
Durkee MS, Abraham R, Ai J, Veselits M, Clark MR, Giger ML. Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis. J Biomed Opt. 2021 01; 26(2).
PMID: 33420765

View All Publications

Fellow
Chinese Optical Society (COS)
2021

Directors' Award
SPIE
2021

Honored Educator Award
RSNA
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