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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 Image Enhancement
Concept Diagnostic Imaging
Concept Image Interpretation, Computer-Assisted
Concept Image Processing, Computer-Assisted
Concept Radiographic Image Interpretation, Computer-Assisted
Concept Radiographic Image Enhancement
Concept Diffusion Magnetic Resonance Imaging
Concept Phantoms, Imaging
Concept Radionuclide Imaging
Concept Echo-Planar Imaging
Concept Imaging, Three-Dimensional
Concept Magnetic Resonance Imaging
Concept Computational Biology
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Academic Article Data compression: effect on diagnostic accuracy in digital chest radiography.
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Academic Article Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set.
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Academic Article Computer-aided diagnosis in chest radiology.
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Academic Article Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.
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Academic Article Multimodality computerized diagnosis of breast lesions using mammography and sonography.
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Academic Article Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility.
Academic Article Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.
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Academic Article Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography.
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Academic Article Digital imaging of the chest.
Academic Article Pulmonary nodules: computer-aided detection in digital chest images.
Academic Article Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.
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Academic Article Automated detection of mass lesions in dedicated breast CT: a preliminary study.
Academic Article Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT.
Academic Article Computerized three-class classification of MRI-based prognostic markers for breast cancer.
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Academic Article Computerized characterization of mammographic masses: analysis of spiculation.
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Academic Article Computerized detection of clustered microcalcifications: evaluation of performance on mammograms from multiple centers.
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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 Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
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Academic Article Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.
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Academic Article Manganese-enhanced MRI detection of impaired calcium regulation in a mouse model of cardiac hypertrophy.
Academic Article Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.
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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 Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers.
Academic Article Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons.
Academic Article Residual analysis of the water resonance signal in breast lesions imaged with high spectral and spatial resolution (HiSS) MRI: a pilot study.
Academic Article Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.
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Academic Article Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.
Academic Article Welcome to the Journal of Medical Imaging.
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 LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.
Academic Article Pioneers in Medical Imaging Series.
Academic Article Introduction to the LUNGx Challenge.
Academic Article Exciting Progress in the Growth of JMI.
Academic Article Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.
Academic Article Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.
Academic Article Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine.
Academic Article Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.
Academic Article The Spectrum of Medical Imaging in the 2015 International Year of Light.
Academic Article Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.
Academic Article MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Academic Article Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation.
Academic Article LUNGx Challenge for computerized lung nodule classification.
Academic Article Breast density estimation from high spectral and spatial resolution MRI.
Academic Article Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T.
Academic Article Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: Validation on a physical dynamic cardiac phantom.
Academic Article TU-E-217BCD-07: Pilot Study on Consistency in Size Metrics for a Multimodality PEM/MR Breast Imaging Approach.
Academic Article Letter to the Editor: Use of Publicly Available Image Resources.
Academic Article A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets.
Academic Article Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.
Academic Article Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems.
Academic Article Fuzzy c-means segmentation of major vessels in angiographic images of stroke.
Academic Article Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.
Academic Article Updates and Changes with JMI.
Academic Article Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.
Academic Article Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer.
Academic Article Machine Learning in Medical Imaging.
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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 Special Section Guest Editorial: Radiomics and Deep Learning.
Academic Article Deep learning in medical imaging and radiation therapy.
Academic Article Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks.
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Academic Article Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.
Academic Article Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Academic Article Integrating structured abstracts in the Journal of Medical Imaging.
Academic Article Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.
Academic Article Deep convolutional neural networks in the classification of dual-energy thoracic radiographic views for efficient workflow: analysis on over 6500 clinical radiographs.
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Academic Article A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
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Academic Article Radiomics methodology for breast cancer diagnosis using multiparametric magnetic resonance imaging.
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Academic Article Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.
Academic Article Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths.
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Academic Article Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19.
Academic Article Lessons learned in transitioning to AI in the medical imaging of COVID-19.
Academic Article Clinical Artificial Intelligence Applications: Breast Imaging.
Academic Article A review of explainable and interpretable AI with applications in COVID-19 imaging.
Academic Article Medical imaging of COVID-19.
Award or Honor Receipt Harrison H. Barrett Award in Medical Imaging
Academic Article Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions.
Academic Article SPIE Computer-Aided Diagnosis conference anniversary review.
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Academic Article Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.
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Academic Article Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.
Academic Article Special Issue Editorial: The SPIE Medical Imaging Symposium Celebrates 50 Years.
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Concept Multimodal Imaging
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Academic Article Predicting intensive care need for COVID-19 patients using deep learning on chest radiography.
Academic Article Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
Academic Article U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging.
Academic Article Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons.
Academic Article Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors.
Academic Article Passing the JMI Torch: Thank You to the Medical Imaging Community for our Amazing Journey.
Academic Article Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data.
Academic Article Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening.
Academic Article MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis.
Academic Article A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
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