Maryellen L. Giger, (born November 13, 1956) PhD currently holds the title of A.N. Pritzker Distinguished Service Professor of Radiology and is a member of the Committee on Medical Physics at the University of Chicago. She is also the vice-chair of Radiology (Basic Science Research) and the former director of the CAMPEP-accredited Graduate Programs in Medical Physics/chair of the Committee on Medical Physics at the university. Giger also co-founded Quantitative Insights, Inc., whose product QuantX is the first FDA-cleared, machine-learning driven system to aid in cancer diagnosis. In 2019, QuantX was named one of TIME magazine's inventions of the year.
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| - Maryellen L. Giger, (born November 13, 1956) PhD currently holds the title of A.N. Pritzker Distinguished Service Professor of Radiology and is a member of the Committee on Medical Physics at the University of Chicago. She is also the vice-chair of Radiology (Basic Science Research) and the former director of the CAMPEP-accredited Graduate Programs in Medical Physics/chair of the Committee on Medical Physics at the university. Giger also co-founded Quantitative Insights, Inc., whose product QuantX is the first FDA-cleared, machine-learning driven system to aid in cancer diagnosis. In 2019, QuantX was named one of TIME magazine's inventions of the year. (en)
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| - Maryellen L. Giger, (born November 13, 1956) PhD currently holds the title of A.N. Pritzker Distinguished Service Professor of Radiology and is a member of the Committee on Medical Physics at the University of Chicago. She is also the vice-chair of Radiology (Basic Science Research) and the former director of the CAMPEP-accredited Graduate Programs in Medical Physics/chair of the Committee on Medical Physics at the university. Giger also co-founded Quantitative Insights, Inc., whose product QuantX is the first FDA-cleared, machine-learning driven system to aid in cancer diagnosis. In 2019, QuantX was named one of TIME magazine's inventions of the year. She is most well known for being an expert in computer-aided diagnosis as well as digital signal processing and digital image processing. Her research incorporates principles of medical physics, engineering, data processing, radiology and radiomics. Giger was elected a member of the National Academy of Engineering in 2010 for contributions to digital signal analysis for improved cancer detection and treatment and for innovations in interdisciplinary training. (en)
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