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Giger, Maryellen L.

One or more keywords matched the following properties of Giger, Maryellen L.

Property	Value
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.

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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 Type	Name
Concept	Diagnosis, Computer-Assisted
Concept	Early Diagnosis
Concept	Diagnosis, Differential
Academic Article	Digital radiography. A useful clinical tool for computer-aided diagnosis by quantitative analysis of radiographic images.
Academic Article	Computerized radiographic analysis of osteoporosis: preliminary evaluation.
Academic Article	Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.
Academic Article	Malignant and benign clustered microcalcifications: automated feature analysis and classification.
Academic Article	Image processing and computer-aided diagnosis.
Academic Article	Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging.
Academic Article	Computerized detection of clustered microcalcifications in digital mammograms: applications of artificial neural networks.
Academic Article	Image feature analysis of false-positive diagnoses produced by automated detection of lung nodules.
Academic Article	Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.
Academic Article	Automated computerized classification of malignant and benign masses on digitized mammograms.
Academic Article	Computer-aided methods help cancer diagnoses.
Academic Article	Automated segmentation of digitized mammograms.
Academic Article	Feature selection with limited datasets.
Academic Article	Improving breast cancer diagnosis with computer-aided diagnosis.
Academic Article	Automatic segmentation of breast lesions on ultrasound.
Academic Article	Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility.
Academic Article	Computerized delineation and analysis of costophrenic angles in digital chest radiographs.
Academic Article	Ideal observer approximation using Bayesian classification neural networks.
Academic Article	Computerized detection of pulmonary nodules on CT scans.
Academic Article	Computerized diagnosis of breast lesions on ultrasound.
Academic Article	Computer-aided diagnosis in medical imaging.
Academic Article	Computer-aided detection and diagnosis of breast cancer.
Academic Article	Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers.
Academic Article	Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms.
Academic Article	Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.
Academic Article	Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images.
Academic Article	Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis.
Academic Article	Computer-aided diagnosis in radiology.
Academic Article	Computerized detection and classification of cancer on breast ultrasound.
Academic Article	Computerized analysis of images in the detection and diagnosis of breast cancer.
Academic Article	Robustness of computerized lesion detection and classification scheme across different breast US platforms.
Academic Article	Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set.
Academic Article	Computerized mass detection for digital breast tomosynthesis directly from the projection images.
Academic Article	Computer-aided diagnosis in chest radiology.
Academic Article	Computerized detection of mass lesions in digital breast tomosynthesis images using two- and three dimensional radial gradient index segmentation.
Academic Article	Potential effect of different radiologist reporting methods on studies showing benefit of CAD.
Academic Article	A dual-stage method for lesion segmentation on digital mammograms.
Academic Article	Multimodality computerized diagnosis of breast lesions using mammography and sonography.
Academic Article	Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.
Academic Article	Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.
Academic Article	Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.
Academic Article	Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Academic Article	Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography.
Academic Article	Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.
Academic Article	Correlative feature analysis on FFDM.
Academic Article	Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.
Academic Article	Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer.
Academic Article	Update on the potential of computer-aided diagnosis for breast cancer.
Academic Article	Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.
Academic Article	Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study.
Academic Article	A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer.
Academic Article	Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network.
Academic Article	An "intelligent" workstation for computer-aided diagnosis.
Academic Article	Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme.
Academic Article	Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields.
Academic Article	Computer-aided diagnosis in chest radiography. Preliminary experience.
Academic Article	Multifractal radiographic analysis of osteoporosis.
Academic Article	Automated method for improving system performance of computer-aided diagnosis in breast ultrasound.
Academic Article	Effect of case selection on the performance of computer-aided detection schemes.
Academic Article	Potential usefulness of digital imaging in clinical diagnostic radiology: computer-aided diagnosis.
Academic Article	Computers aid diagnosis of breast abnormalities.
Academic Article	Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images.
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	Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study.
Academic Article	Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.
Academic Article	Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study.
Academic Article	Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer.
Academic Article	Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.
Academic Article	Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.
Academic Article	Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.
Academic Article	Preliminary assessment of dispersion versus absorption analysis of high spectral and spatial resolution magnetic resonance images in the diagnosis of breast cancer.
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.
Academic Article	Moonshot Acceleration Factor: Medical Imaging.
Academic Article	Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Academic Article	Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.
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.
Academic Article	A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
Academic Article	Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging.
Academic Article	Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.
Academic Article	Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19.
Academic Article	SPIE Computer-Aided Diagnosis conference anniversary review.

Search Criteria

Diagnosis