User:Alie (WomenInOptics)/Maryellen L. Giger

From Maryellen Giger's article:

Career
Giger has conducted research for more than 30 years on computer-aided diagnosis and quantitative image analysis (radiomics/machine learning) in the areas of breast cancer, lung cancer, prostate cancer, and bone diseases. After completing her schooling, she spent three years as research associate, then went on to earn the titles of assistant professor in 1986, associate professor in 1991 and professor in 2000 in the department of Radiology at University of Chicago. She currently holds over 30 patents.

She has served on National Institute of Health (NIH) study sections, is a former president of the American Association of Physicists in Medicine, was the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging as well as President of the Society in 2018, and is a member of the National Institute of Biomedical Imaging and Bioengineering Advisory Council since 2018. Giger's research in machine-learning, image-based analyses of cancer for risk assessment, diagnosis, prognosis, response to therapy, and biological discovery has yielded various translated components, and she is now studying these image-based phenotypes through deep learning as well as in imaging genomics association studies.

In 2020, Dr. Giger was chosen to lead a new center hosted at the University of Chicago established in response to the the ongoing COVID-19 pandemic intended to curate a massive database of medical images to help better understand and treat the disease. The Medical Imaging and Data Resource Center (MIDRC) brings together the largest medical imaging professional organizations in the country details how AI analyses can assist in providing clear data regarding the effectiveness of diagnostic tools, like images, and how these tools can be used as a way of monitoring the progression of illness.