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Search Results to Maryellen L. Giger

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overview Maryellen L. Giger, Ph.D. is the A.N. Pritzker 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, lupus, and bone diseases. Over her career, she has served on various NIH, DOD, and other funding agencies’ study sections, and is now a member of the NIBIB Advisory Council of NIH. She is a former president of the American Association of Physicists in Medicine 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, and IEEE, a recipient of the EMBS Academic Career Achievement Award, and is a current 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 200 peer-reviewed publications (over 300 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., these “virtual biopsies” in imaging genomics association studies for discovery. She is a cofounder, equity holder, and scientific advisor of Quantitative Insights, Inc., which started through the 2009-2010 New Venture Challenge at the University of Chicago. QI produces QuantX, 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.

One or more keywords matched the following items that are connected to Giger, Maryellen

Item TypeName
Concept Mass Screening
Concept Prostatic Neoplasms
Academic Article Potential usefulness of computerized nodule detection in screening programs for lung cancer.
Academic Article Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers.
Academic Article Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.
Academic Article Computerized lesion detection on breast ultrasound.
Academic Article Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images.
Academic Article A dual-stage method for lesion segmentation on digital mammograms.
Academic Article Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Academic Article Normal parenchymal enhancement patterns in women undergoing MR screening of the breast.
Academic Article Computerized three-class classification of MRI-based prognostic markers for breast cancer.
Academic Article Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.
Academic Article Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques.
Academic Article Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.
Academic Article Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
Academic Article Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
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 Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.
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.
Academic Article Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study.
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 Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.
Academic Article Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers.
Academic Article Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
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 Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.
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 Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks.
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.
Award or Honor Receipt Fellow
Academic Article Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling.
Academic Article Artificial intelligence in the interpretation of breast cancer on MRI.
Academic Article Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Academic Article Harmonization of radiomic features of breast lesions across international DCE-MRI datasets.
Academic Article A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.

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