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Giger, Maryellen L.
One or more keywords matched the following properties of Giger, Maryellen L.
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keywords computer-aided diagnosis, machine learning, breast cancer, deep learning, radiomics, COVID-19
overview 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, 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 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., “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). 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.
One or more keywords matched the following items that are connected to Giger, Maryellen L.
Item TypeName
Concept Computer Graphics
Concept Computer Simulation
Concept Decision Making, Computer-Assisted
Concept Computer Systems
Concept Computers
Concept Diagnosis, Computer-Assisted
Concept Image Interpretation, Computer-Assisted
Concept Image Processing, Computer-Assisted
Concept Radiographic Image Interpretation, Computer-Assisted
Concept Signal Processing, Computer-Assisted
Concept Numerical Analysis, Computer-Assisted
Concept User-Computer Interface
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Academic Article Update on the potential of computer-aided diagnosis for breast cancer.
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Academic Article Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.
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Academic Article Computerized analysis of lesions in US images of the breast.
Academic Article Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography.
Academic Article Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
Academic Article Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making.
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Academic Article Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer.
Academic Article Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.
Academic Article Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.
Academic Article Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.
Academic Article Level set segmentation of breast masses in contrast-enhanced dedicated breast CT and evaluation of stopping criteria.
Academic Article Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.
Academic Article Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study.
Academic Article Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons.
Academic Article Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.
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Academic Article Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation.
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Academic Article Repeatability in computer-aided diagnosis: Application to breast cancer diagnosis on sonography.
Academic Article A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets.
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Academic Article Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
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Academic Article Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.
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Academic Article Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.
Academic Article Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
Academic Article Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.
Academic Article A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
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Academic Article Clinical Artificial Intelligence Applications: Breast Imaging.
Academic Article SPIE Computer-Aided Diagnosis conference anniversary review.
Academic Article MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models.
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