M. Giger

Maryellen L Giger, Masha Kocherginsky, Ann Pham, 2008, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

Investigation of basic imaging properties in digital radiography. 13. Effect of simple structured noise on the detectability of simulated stenotic lesions.

M L Giger, C E Metz, K Doi, 1989, Medical physics.

Pulmonary nodules: computer-aided detection in digital chest images.

M L Giger, C E Metz, K Doi, 1990, Radiographics : a review publication of the Radiological Society of North America, Inc.

Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging.

M L Giger, U Bick, K G Gilhuijs, 1998, Medical physics.

Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers.

Zhimin Huo, Maryellen L Giger, Charles E Metz, 2002, Radiology.

Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.

Karen Drukker, Maryellen L Giger, Charlene A Sennett, 2013, Medical physics.

DCEMRI of breast lesions: Is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Hiroyuki Abe, Maryellen Giger, Xiaobing Fan, 2008, Medical physics.

Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images.

M L Giger, C E Metz, C J Vyborny, 1991, Medical physics.

Computer vision system for the detection and characterization of masses for use in mammographic screening programs

Maryellen L. Giger, Kunio Doi, Fang-Fang Yin, 1991, Other Conferences.

Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.

Li Lan, Hui Li, Maryellen L Giger, 2007, Academic radiology.

Computerized radiographic texture measures for characterizing bone strength: a simulated clinical setup using femoral neck specimens.

M L Giger, M. Giger, M. Favus, 1999, Medical physics.

Computer-aided diagnosis in chest radiology.

H MacMahon, M L Giger, S Katsuragawa, 1990, Journal of thoracic imaging.

Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

Karen Drukker, Maryellen L Giger, Lorenzo L. Pesce, 2013, Academic radiology.

A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.

M. Giger, Weijie Chen, U. Bick, 2006, Academic radiology.

Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer

Karen Drukker, Alexandra Edwards, John Papaioannou, 2018, Cancer Imaging.

Cell Distance Mapping Identifies Functional T Follicular Helper Cells in Inflamed Human Renal Tissue

M. Giger, Yulei Jiang, Yahui Peng, 2014, Science Translational Medicine.

Investigation of basic imaging properties in digital radiography. 6. MTFs of II-TV digital imaging systems.

M L Giger, H Fujita, K Doi, 1985, Medical physics.

Measurement of the presampling modulation transfer function of film digitizers using a curve fitting technique.

M L Giger, K Doi, M. Giger, 1990, Medical physics.

Improving the temporal resolution of tomographic images using a PI-line based backprojection filtration algorithm

M. Giger, Xiaochuan Pan, M. King, 2005, IEEE Nuclear Science Symposium Conference Record, 2005.

ROI reconstruction of motion-contaminated data with a backprojection filtration algorithm

M. Giger, Xiaochuan Pan, Lifeng Yu, 2005, IEEE Nuclear Science Symposium Conference Record, 2005.

Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers.

Li Lan, Andrew R. Jamieson, Hui Li, 2014, Medical physics.

CAD: An Image Perception Perspective

M. Giger, Weijie Chen, 2018, The Handbook of Medical Image Perception and Techniques.

Investigation of physical image quality indices of a bone densitometry system.

M. Giger, R. Nishikawa, J. Wilkie, 2004, Medical physics.

Computerized assessment of motion-contaminated calcified plaques in cardiac multidetector CT.

M. Giger, B. Greenberg, Xiaochuan Pan, 2007, Medical physics.

Bcl‐2 as a Therapeutic Target in Human Tubulointerstitial Inflammation

M. Giger, L. Lan, Yulei Jiang, 2016, Arthritis & rheumatology.

Mammogram Lesion Extraction Lesion Features Non-Parametric Classification Probability of Malignancy

M. Giger, 2017 .

Investigation of basic imaging properties in digital radiography. 7. Noise Wiener spectra of II-TV digital imaging systems.

M L Giger, H Fujita, K Doi, 1986, Medical physics.

Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T

M. Giger, O. Olopade, G. Newstead, 2017, Journal of magnetic resonance imaging : JMRI.

A NEURAL NETWORK APPROACH FOR DIFFERENTIAL DIAGNOSIS OF INTERSTITIAL LUNG DISEASES

Maryellen L. Giger, Kunio Doi, Steven M. Montner, 1990 .

Radiomics and Deep Learning

Ronald M. Summers, M. Giger, D. Kontos, 2018 .

Comparison of barbed versus conventional sutures for wound closure of radiologically implanted chest ports.

M. Giger, B. Funaki, M. Ginsburg, 2014, Journal of vascular and interventional radiology : JVIR.

Computer-aided Diagnosis in Diagnostic Mammography and Multimodality Breast Imaging 1

M. Giger, 2005 .

Radiomics and Deep Learning

Ronald M. Summers, M. Giger, D. Kontos, 2018 .

Quantitative breast image analysis for personalized medicine

M. Giger, 2013 .

Development of Digital Processing Techniques for Computer-Aided Diagnosis in Radiographic Images

M. Giger, K. Doi, R. Nishikawa, 1993, Proceedings. The Third International Conference on Image Management and Communication in Patient Care.

Automated Computerized Analysis Of Radiographic Images: An Intelligent Component Of IMAC To Aid Diagnosis

M. Giger, K. Doi, S. Katsuragawa, 1991, The Second International Conference on Image Management and Communication (IMAC) in Patient Care: New Technologies for Better Patient Care,.

Utilization Of Digital Image Data For Computer-aided Diagnosis

M. Giger, K. Doi, C. Metz, 1989, [1989] Proceedings. The First International Conference on Image Management and Communication in Patient Care: Implementation and Impact.

Computer-Aided Diagnosis in Medical Imaging

Nico Karssemeijer, Maryellen L. Giger, Samuel G. Armato, 2001, IEEE Trans. Medical Imaging.

Effect of pixel size on detectability of low-contrast signals in digital radiography.

M. Giger, K. Doi, 1987, Journal of the Optical Society of America. A, Optics and image science.

Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT.

Xiaochuan Pan, Martin King, Maryellen L Giger, 2007, Medical physics.

Computerized assessment of motion-contaminated calcified plaques in cardiac multidetector CT.

M. Giger, B. Greenberg, Xiaochuan Pan, 2007, Medical physics.

Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI

Karen Drukker, Qiyuan Hu, Deepa Sheth, 2021, Medical Imaging.

Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.

Karen Drukker, Karla Kerlikowske, Hui Li, 2014, Medical physics.

Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling

Maryellen L. Giger, Yuan Ji, Karen Drukker, 2019, Cancer Imaging.

Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions

Maryellen L. Giger, Karen Drukker, Hiroyuki Abe, 2021, Medical Imaging.

Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning

M. Giger, K. Drukker, H. Abe, 2022, Medical Imaging.

Research imaging in an academic medical center.

Feng Li, Maryellen L Giger, Samuel G Armato, 2012, Academic radiology.

Automated Detection of Skin Thickening in Mammograms

Robert M. Nishikawa, Maryellen L. Giger, Kunio Doi, 1993 .

Computerized Detection of Lung Nodules

Maryellen L. Giger, Kunio Doi, Heber MacMahon, 2002 .

Computer-vision schemes for lung and breast cancer detection

Maryellen L. Giger, Kunio Doi, Charles E. Metz, 1993 .

Erratum to: Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study

Maryellen L. Giger, Kunio Doi, Yuzheng C. Wu, 2009, Journal of Digital Imaging.

Development of Digital Processing Te Computer-Aided Diagnosis in Radiographi

Kunio Doi, Kenneth R. Hoffmann, Maryellen L. Giger, 1993 .

Computer aided diagnosis of breast cancer on mammograms

Robert M. Nishikawa, Maryellen L. Giger, Kunio Doi, 1997, Breast cancer.

Deep learning to detect lymphocytes with high phenotypic resolution in highly multiplexed fluorescence microscopy images of triple-negative breast cancer biopsies

Madeleine S. Durkee, M. Giger, M. Clark, 2022, BiOS.

A Computer Aided Diagnosis System for Microcalcification Cluster Detection in Digital Mammogram

M. Giger, C. Vyborny, C. Metz, 2016 .

Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers

M. Giger, Hui Li, Peifang Liu, 2022, Medical Imaging.

Association between DCE MRI background parenchymal enhancement and mammographic texture features

Natalie M. Baughan, M. Giger, L. Lan, 2022, Medical Imaging.

Computerized delineation and analysis of costophrenic angles in digital chest radiographs.

M L Giger, S. Armato, M. Giger, 1998, Academic radiology.

Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification

M. Giger, K. Drukker, H. Whitney, 2022, Journal of Medical Imaging.

A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features

M. Giger, T. Fahey, L. Lan, 2022, Journal of medical imaging.

Transfer Learning from Convolutional Neural Networks for Computer-Aided: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography

M. Giger, K. Mendel, D. Sheth, 2019 .

Automated lung segmentation in digital lateral chest radiographs.

M L Giger, S. Armato, M. Giger, 1998, Medical physics.

Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.

E. Burnside, M. Giger, K. Brandt, 2019, Current problems in diagnostic radiology.

Advanced Methods for the Computer-Aided Diagnosis of Lesions in Digital Mammograms

M. Giger, 1997 .

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

M. Giger, Hui Li, J. Papaioannou, 2022, Journal of medical imaging.

Breast cancer

M. Giger, Hui Li, 2019, Radiomics and Radiogenomics.

VALIDATION OF EFFECTIVENESS OF MULTI-PARAMETRIC ENDORECTAL MR IMAGE FEATURES FOR PROSTATE CANCER DETECTION AND CORRELATION WITH GLEASON SCORE

M. Giger, A. Oto, Yulei Jiang, 2012 .

Update on the potential role of CAD in radiologic interpretations: are we making progress?.

Maryellen L Giger, M. Giger, 2005, Academic radiology.

A brief history of the AAPM: Celebrating 60 years of contributions to medical physics practice and science.

Colin G Orton, Maryellen L Giger, M. Giger, 2018, Medical physics.

Computer-aided diagnosis in radiology.

Maryellen L Giger, M. Giger, 2002, Academic radiology.

Update on the potential of computer-aided diagnosis for breast cancer.

Maryellen L Giger, M. Giger, 2010, Future oncology.

SU-E-I-45: The Human Imaging Research Office (HIRO): Advancing the Role of Imaging in Clinical Research

S. Armato, M. Giger, H. MacMahon, 2011 .

Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering

Robert M. Nishikawa, Maryellen L. Giger, Tao Wu, 2004, CARS.

TU‐D‐330A‐03: Comparison of Image Segmentation Algorithms On Digitized Mammograms and FFDM Images for CAD

Andrew R. Jamieson, M. Giger, Hui Li, 2006 .

TU-AB-BRA-08: Radiomics in the Analysis of Breast Cancer Heterogeneity On DCE-MRI

C. Perou, M. Giger, L. Lan, 2015 .

TU-AB-BRA-07: Radiomics of Breast Cancer: A Robustness Study

M. Giger, N. Antropova, L. Lan, 2015 .

Computer-aided methods help cancer diagnoses.

M L Giger, D E Wolverton, M. Giger, 1996, Diagnostic imaging.

Computers aid diagnosis of breast abnormalities.

M L Giger, C J Vyborny, M. Giger, 1993, Diagnostic imaging.

Automated registration of ventilation-perfusion images with digital chest radiographs.

M L Giger, C J Vyborny, C T Chen, 1997, Academic radiology.

Report from the RSNA COVID-19 Task Force: COVID-19 Impact on Academic Radiology Research—A Survey of Vice Chairs of Research

Richard E. Sharpe, E. Krupinski, M. Giger, 2021, Journal of the American College of Radiology.

Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine

Maryellen Giger, Sandy Napel, M. Giger, 2015, Journal of medical imaging.

Image Feature Analysis of False-Positives Produced by an Automated Computerized Scheme for the Detection of Putmonary Nodules in Digital Chest Radiographs

Maryellen L. Giger, Akiko Kano, Katsumi Abe, 1992 .

Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer

Maryellen L. Giger, Qiyuan Hu, Heather M. Whitney, 2019, Medical Imaging.

SU-F-R-26: Prognostic Radiomics of Breast Cancer On DCE and DWI MR Images.

M. Giger, L. Lan, A. Edwards, 2016, Medical physics.

TU-C-12A-06: Computerized Analysis of Diffusion-Weighted Images in Breast Cancer Diagnosis.

M. Giger, T. White, W. Weiss, 2014, Medical Physics (Lancaster).

Front Matter: Volume 6915

Nico Karssemeijer, Maryellen L. Giger, M. Giger, 2008, Medical Imaging: Computer-Aided Diagnosis.

Front Matter: Volume 6514

Nico Karssemeijer, Maryellen L. Giger, M. Giger, 2007, Medical Imaging: Computer-Aided Diagnosis.

Quantifying in situ adaptive immune cell cognate interactions in humans

Maryellen L. Giger, Adam R. Sibley, Ronald N. Germain, 2019, Nature Immunology.

Normal parenchymal enhancement patterns in women undergoing MR screening of the breast

Maryellen L. Giger, Hui Li, Gillian M. Newstead, 2011, European Radiology.

Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis

Maryellen L. Giger, Joel R. Wilkie, Charles A. Engh, 2006, SPIE Medical Imaging.

AI/Machine Learning in Medical Imaging

Maryellen L. Giger, M. Giger, 2021, Molecular Imaging.

Computerized assessment of tumor extent in contrast-enhanced MR images of the breast

Maryellen L. Giger, Li Lan, Ulrich Bick, 2004, CARS.

Visualization of liver in 3-D

Maryellen L. Giger, Chin-Tu Chen, Charles E. Kahn, 1991, Medical Imaging.

Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture

Maryellen L. Giger, Hui Li, Michael R. Chinander, 2004, CARS.

U-Net based image segmentation of mesenchymal stem cells

Maryellen L. Giger, Kristen C. Maitland, Carl A. Gregory, 2021, BiOS.

Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis

Maryellen L. Giger, Kristen C. Maitland, Carl A. Gregory, 2021, Journal of medical imaging.

Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies

Maryellen L. Giger, Madeleine S. Durkee, Marcus R. Clark, 2021, Medical Imaging.

Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis

Maryellen L. Giger, Lorenzo L. Pesce, Joel R. Wilkie, 2007, SPIE Medical Imaging.

WE‐C‐I‐609‐05: Temporal Radiographic Texture Analysis for the Detection of Periprosthetic Osteolysis

M. Giger, C. Engh, R. Hopper, 2005 .

Front Matter: Volume 7260

Nico Karssemeijer, Maryellen L. Giger, M. Giger, 2009, Medical Imaging: Computer-Aided Diagnosis.

Preliminary evaluation of an "intelligent" mammography workstation

M. Giger, C. Vyborny, R. Schmidt, 1993 .

Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis

Madeleine S. Durkee, M. Giger, M. Veselits, 2022, The Journal of clinical investigation.

Dual-energy three compartment breast imaging (3CB) for novel compositional biomarkers to improve detection of malignant lesions

Thomas K. Wolfgruber, M. Giger, K. Kerlikowske, 2021 .

Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening.

Natalie M. Baughan, M. Giger, L. Douglas, 2022, Journal of breast imaging.

A Framework for Evaluating the Technical Performance of Multiparameter Quantitative Imaging Biomarkers (mp-QIBs).

Erich P Huang, N. Obuchowski, Paul Kinahan, 2022, Academic radiology.

Image quality evaluation of motion-contaminated calcified plaques in cardiac CT

M. Giger, Xiaochuan Pan, M. King, 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest

Jordan D. Fuhrman, M. Giger, C. Lazaridis, 2021, Neurocritical Care.

Advances in tumor imaging.

M. Giger, C. Pelizzari, 1996, Scientific American.

Sequestration of imaging studies in MIDRC: a multi-institutional data commons

M. Giger, B. Sahiner, K. Drukker, 2022, Medical Imaging.

Criteria for the translation of radiomics into clinically useful tests

Erich P Huang, Paul Kinahan, P. Lambin, 2022, Nature Reviews Clinical Oncology.

Digital Radiography

M. Giger, K. Doi, R. Schmidt, 1993, Acta radiologica.

Artificial Intelligence in Medical Imaging

M. Giger, H. Whitney, B. Gursel, 2022 .

Volumetric texture analysis of DCE-MR images of the breast using gray-level co-occurrence matrix method

M. Giger, W. Chen, 2006 .

Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.

M. Giger, Hui Li, Peifang Liu, 2023, Radiology.

Comment on “Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest” Submitted by Noah Salomon Molinski et al.

M. Giger, F. Goldenberg, Jordan Fuhrman, 2022, Neurocritical Care.

Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths.

M. Giger, K. Drukker, J. Papaioannou, 2021, Magnetic resonance imaging.

Effect of case selection on the performance of computer-aided detection schemes.

K Doi, F F Yin, M L Giger, 1994, Medical physics.

Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.

K Doi, F F Yin, M L Giger, 1993, Investigative radiology.

Identification, segmentation, and characterization of microcalcifications on mammography

Maryellen L. Giger, Karen Drukker, John Shepherd, 2016, SPIE Medical Imaging.

Preliminary evaluation of an

Robert M. Nishikawa, Maryellen L. Giger, John Papaioannou, 1993 .

A review of explainable and interpretable AI with applications in COVID‐19 imaging

Jordan D. Fuhrman, M. Giger, Hui Li, 2021, Medical physics.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Outlook of the future landscape of artificial intelligence in medicine and new challenges

Maryellen L. Giger, James K. Min, Lei Xing, 2021 .

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2016, Journal of medical imaging.

Lessons learned in transitioning to AI in the medical imaging of COVID-19

Jordan D. Fuhrman, M. Giger, Weijie Chen, 2021, Journal of medical imaging.

Long-term results of microcoil embolization for colonic haemorrhage: how common is rebleeding?

M. Giger, B. Funaki, O. Ahmed, 2015, The British journal of radiology.

In lupus nephritis, specific in situ inflammatory states are associated with refractory disease and progression to renal failure

Madeleine S. Durkee, M. Giger, M. Veselits, 2021, bioRxiv.

Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients

Maryellen L. Giger, Karen Drukker, Alexandra Edwards, 2019, Journal of medical imaging.

Artificial intelligence and interpretations in breast cancer imaging

M. Giger, Hui Li, 2021 .

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

Issam El Naqa, Randall K Ten Haken, Maryellen L Giger, 2020, The British journal of radiology.

Artificial intelligence in the interpretation of breast cancer on MRI

Deepa Sheth, Maryellen L Giger, M. Giger, 2019, Journal of magnetic resonance imaging : JMRI.

Prognostic value of pre-treatment CT texture analysis in combination with change in size of the primary tumor in response to induction chemotherapy for HPV-positive oropharyngeal squamous cell carcinoma.

M. Giger, L. Lan, Hui Li, 2019, Quantitative imaging in medicine and surgery.

Deep learning in medical imaging and radiation therapy.

Berkman Sahiner, Lubomir M. Hadjiiski, Karen Drukker, 2018, Medical physics.

Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop.

Maryellen Giger, Thomas R Mackie, Edward F Jackson, 2018, Medical physics.

Machine Learning in Medical Imaging.

Maryellen L Giger, M. Giger, 2018, Journal of the American College of Radiology : JACR.

Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study

Maryellen L. Giger, Karen Drukker, Hiroyuki Abe, 2018, Medical Imaging.

Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes

Maryellen L. Giger, Karen Drukker, Gary J. Whitman, 2017, European Radiology Experimental.

Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls

Li Lan, Hui Li, Maryellen L Giger, 2014, Journal of medical imaging.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.

Li Lan, Ulrich Bick, Weijie Chen, 2010, Academic radiology.

A Fuzzy C-Means (FCM)-Based Approach for Computerized Segmentation of Breast Lesions in Dynamic Contrast-Enhanced MR Images1

Maryellen L. Giger, Ulrich Bick, Weijie Chen, 2006 .

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Maryellen L. Giger, Elizabeth Burnside, Karen Drukker, 2015, Journal of medical imaging.

Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons

Kyle J Myers, Huiman X Barnhart, Paul E Kinahan, 2014, Statistical methods in medical research.

Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes

Maryellen L. Giger, Hiroyuki Abe, Hui Li, 2014, Digital Mammography / IWDM.

Computerized three-class classification of MRI-based prognostic markers for breast cancer

Maryellen Giger, Darrin C. Edwards, Neha Bhooshan, 2011, Physics in medicine and biology.

Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

Madeleine S. Durkee, M. Giger, M. Clark, 2021, The American journal of pathology.

Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study.

Aytekin Oto, Yulei Jiang, Yahui Peng, 2014, Radiology.

Multi-Stage Harmonization for Robust AI across Breast MR Databases

M. Giger, Hui Li, Peifang Liu, 2021, Cancers.

Manganese‐enhanced MRI detection of impaired calcium regulation in a mouse model of cardiac hypertrophy

M. Giger, B. Roman, Martin Andrews, 2015, NMR in biomedicine.

Radiologically Guided Placement of Mushroom-retained Gastrostomy Catheters: Long-term Outcomes of Use in 300 Patients at a Single Center.

M. Giger, B. Funaki, O. Ahmed, 2015, Radiology.

Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography

Karen Drukker, Alexandra Edwards, Ingrid Reiser, 2014, Journal of medical imaging.

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Kyle J Myers, Berkman Sahiner, Heang-Ping Chan, 2012, Academic radiology.

Application and generalizability of U-Net segmentation of immune cells in inflamed tissue

Maryellen L. Giger, Madeleine S. Durkee, Marcus R. Clark, 2021, Medical Imaging.

Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning

Jordan D. Fuhrman, M. Giger, C. Henschke, 2023, Scientific Reports.

Computer-aided detection of clustered microcalcifications on digital mammograms

R. M. Nishikawa, M. L. Giger, K. Doi, 1995, Medical and Biological Engineering and Computing.

Comparison of rule-based and artificial neural network approaches for improving the automated detection of clustered microcalcifications in mammograms

Robert M. Nishikawa, Maryellen L. Giger, Kunio Doi, 1995, Optical Engineering Midwest.

MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models

Jordan D. Fuhrman, M. Giger, Hui Li, 2023, Physics in medicine and biology.

Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids

Jordan D. Fuhrman, M. Giger, F. Lure, 2020, Journal of medical imaging.

Normalized BMD as a predictor of bone strength.

M. Giger, M. Favus, J. Martell, 2000, Academic radiology.

Characterization of bone quality using computer-extracted radiographic features.

M L Giger, M. Giger, M. Favus, 1999, Medical physics.

Harmonization of radiomic features of breast lesions across international DCE-MRI datasets

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Journal of medical imaging.

Computerized Texture Analysis of Mammographic Parenchymal Patterns of Digitized Mammograms1

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2005 .

Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2004, CARS.

Computer Vision and Decision Support

Maryellen L. Giger, Kunio Doi, Henry A. Swett, 1997 .

A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer.

Yulei Jiang, Maryellen L Giger, Lorenzo L. Pesce, 2012, Medical physics.

AAPM Task Group 298: Recommendations on certificate program/alternative pathway candidate education and training

M. Giger, J. Seibert, J. Prisciandaro, 2022, Journal of applied clinical medical physics.

Ethics and professionalism in medical physics: a survey of AAPM members.

S. Armato, M. Giger, L. Ross, 2013, Medical physics.

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

M. Giger, H. Whitney, Qiyuan Hu, 2020, Scientific Reports.

Effect of observer variability and training cases on U-Net segmentation performance

David F. Yankelevitz, Claudia I. Henschke, Maryellen L. Giger, 2020, Medical Imaging.

Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images.

M L Giger, K R Hoffmann, R A Schmidt, 1992, Seminars in ultrasound, CT, and MR.

Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2012, Journal of Digital Imaging.

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Lubomir M. Hadjiiski, Karen Drukker, Kenny H. Cha, 2018, Journal of medical imaging.

Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment

Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, 2008, Journal of Digital Imaging.

Computerized Detection of Mass Lesions in Digital Breast Tomosynthesis Images Using Two- and Three Dimensional Radial Gradient Index Segmentation

M L Giger, R M Nishikawa, I Reiser, 2004, Technology in cancer research & treatment.

Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantom.

Amit R. Patel, Zachary B. Rodgers, M. Giger, 2010, Medical physics.

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Natalia Antropova, Benjamin Q Huynh, Maryellen L Giger, 2017, Medical physics.

Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2018, Medical Imaging.

Recurrent neural networks for breast lesion classification based on DCE-MRIs

Maryellen L. Giger, Natasha Antropova, Benjamin Q. Huynh, 2018, Medical Imaging.

Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks

Hiroyuki Abe, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Li Lan, Yading Yuan, Andrew R. Jamieson, 2008, Academic radiology.

Performance of CADx on a Large Clinical Database of FFDM Images

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy

Maryellen L. Giger, Karen Drukker, Alexandra Edwards, 2020, Medical Imaging.

Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.

Maryellen Giger, Hui Li, Li Lan, 2019, Medical physics.

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Proceedings of the IEEE.

Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis.

Maryellen L Giger, M. Giger, C. Engh, 2008, Academic radiology.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.

M. Giger, Hui Li, Peifang Liu, 2021, Radiology. Artificial intelligence.

Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2017, Journal of medical imaging.

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning

Maryellen L. Giger, Natasha Antropova, Benjamin Q. Huynh, 2017, Medical Imaging.

Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models

Jordan D. Fuhrman, M. Giger, Y. Lure, 2023, Medical Imaging.

Breast image feature learning with adaptive deconvolutional networks

Maryellen L. Giger, Karen Drukker, Andrew R. Jamieson, 2012, Medical Imaging.

Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks.

Hui Li, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria

Maryellen L. Giger, John M. Boone, Kai Yang, 2014, Journal of Digital Imaging.

Radiographic Texture Analysis of Densitometric Calcaneal Images: Relationship to Clinical Characteristics and to Bone Fragility

M. Giger, D. Lauderdale, T. Vokes, 2009, Journal of Bone and Mineral Research.

Comparison of radiographic texture analysis from computed radiography and bone densitometry systems.

Hui Li, Maryellen L Giger, Vit Jaros, 2004, Medical physics.

Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer.

Maryellen L Giger, Charles E Metz, Karla Horsch, 2008, Academic radiology.

Investigation of basic imaging properties in digital radiography. 3. Effect of pixel size on SNR and threshold contrast.

M L Giger, K Doi, M. Giger, 1985, Medical physics.

Investigation of basic imaging properties in digital radiography. I. Modulation transfer function.

K Doi, M L Giger, M. Giger, 1984, Medical physics.

A dual-stage method for lesion segmentation on digital mammograms.

Kenji Suzuki, Yading Yuan, Hui Li, 2007, Medical physics.

Clinical Artificial Intelligence Applications: Breast Imaging.

M. Giger, Qiyuan Hu, 2021, Radiologic clinics of North America.

Grid-Enabled Quantitative Analysis of Breast Cancer

Maryellen L. Giger, Karen Drukker, Hui Li, 2009 .

Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.

M L Giger, C E Metz, Z Huo, 2000, Academic radiology.

Computer-aided diagnosis of breast lesions in medical images

Maryellen L. Giger, M. Giger, 2000, Comput. Sci. Eng..

Effect of dominant features on neural network performance in the classification of mammographic lesions.

M L Giger, C E Metz, Z Huo, 1999, Physics in medicine and biology.

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging

Maryellen L. Giger, Karen Drukker, Serghei Malkov, 2016, Digital Mammography / IWDM.

SOFTWARE PRODUCT FOR AUTOMATED IDENTIFICATION OF TEMPORAL OTHER PUBLICATIONS PATTERNS WITH HIGH INITIAL ENHANCEMENT IN DYNAMIC MAGNETC Kuhl et al., “Dynamic Breast MR imaging: Are signal intensity time RESONANCE BREAST IMAGING course data useful for differential diagnosis of enhancing lesion?”,

M. Giger, Brian L. Casler, Jonathan G. Cwern, 2017 .

Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques

Maryellen L. Giger, Kunio Doi, Fang-Fang Yin, 1994, Journal of Digital Imaging.

Variation in algorithm implementation across radiomics software

Hania Al-Hallaq, Maryellen L Giger, Samuel G Armato, 2018, Journal of medical imaging.

Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2018, Medical Imaging.

Fuzzy c-means segmentation of major vessels in angiographic images of stroke

Karen Drukker, Timothy J Carroll, Maryellen L Giger, 2018, Journal of medical imaging.

Calibration Procedure of Three Component Mammographic Breast Imaging

Maryellen L. Giger, Karen Drukker, John Shepherd, 2016, Digital Mammography / IWDM.

Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network.

K Doi, M L Giger, R A Schmidt, 1994, Medical physics.

Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.

Hui Li, Deepa Sheth, Maryellen Giger, 2019, Academic radiology.

Investigation of basic imaging properties in digital radiography. 9. Effect of displayed grey levels on signal detection.

K Doi, M L Giger, K Ohara, 1986, Medical physics.

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

J. Wolfe, T. Horowitz, S. Seltzer, 2022, JNCI cancer spectrum.

Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats.

M L Giger, C E Metz, K Doi, 1988, Radiology.

Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks

Maryellen L. Giger, Adam R. Sibley, Marcus R. Clark, 2018, Medical Imaging.

Feature selection with limited datasets.

M L Giger, M A Kupinski, M. Giger, 1999, Medical physics.

Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning

Maryellen L. Giger, Karen Drukker, Qiyuan Hu, 2021, Medical Imaging.

Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI

Maryellen L. Giger, Qiyuan Hu, Heather M. Whitney, 2020, Medical Imaging.

Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2019, Medical Imaging.

Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images

Maryellen L. Giger, Karen Drukker, Alexandra Edwards, 2014, Journal of medical imaging.

Evaluation of an automated segmentation method based on performances of an automated classification method

Maryellen L. Giger, Zhimin Huo, M. Giger, 2000, Medical Imaging.

Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer

Maryellen L. Giger, Yu Ji, Peifang Liu, 2019, Medical Imaging.

Correlative feature analysis on FFDM.

Yading Yuan, Hui Li, Maryellen L Giger, 2008, Medical physics.

Machine learning with multimodal data for COVID-19

M. Giger, S. Napel, O. Gevaert, 2023, Heliyon.

Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast

Heather M. Whitney, Maryellen L. Giger, M. Giger, 2020, Medical Imaging.

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2,397 breast lesions

Maryellen L. Giger, Heather M. Whitney, Alexandra Edwards, 2019, Medical Imaging.

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2019, Journal of medical imaging.

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers

Maryellen L. Giger, Karen Drukker, Heather M. Whitney, 2018, Other Conferences.

Dual-Lumen Chest Port Infection Rates in Patients with Head and Neck Cancer

M. Giger, B. Funaki, O. Ahmed, 2015, CardioVascular and Interventional Radiology.

Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study.

Maryellen L. Giger, Hiroyuki Abe, Li Lan, 2011, Radiology.

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis

Maryellen L. Giger, Hui Li, Li Lan, 2008, Digital Mammography / IWDM.

A two-stage method for lesion segmentation on digital mammograms

Maryellen L. Giger, Kenji Suzuki, Hui Li, 2006, SPIE Medical Imaging.

Enhanced detection of oral dysplasia by structured illumination fluorescence lifetime imaging microscopy

Kristen C. Maitland, Bilal H. Malik, John M. Wright, 2021, Scientific Reports.

Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging

Javier A. Jo, Maryellen L. Giger, John Wright, 2018, Medical Imaging.

Density correction of peripheral breast tissue on digital mammograms.

M L Giger, U Bick, R A Schmidt, 1996, Radiographics : a review publication of the Radiological Society of North America, Inc.

An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms.

K Doi, M L Giger, R A Schmidt, 1996, Academic radiology.

Automated seeded lesion segmentation on digital mammograms

Maryellen L. Giger, Matthew A. Kupinski, M. Giger, 1998, IEEE Transactions on Medical Imaging.

Temporal radiographic texture analysis in the detection of periprosthetic osteolysis.

M. Giger, C. Engh, R. Hopper, 2007 .

Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

M. Giger, J. Boone, H. Chan, 2008, Medical physics.

Computerized analysis of radiographic bone patterns: effect of imaging conditions on performance.

M L Giger, M. Giger, M. Favus, 2000, Medical physics.

Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtraction technique.

K Doi, F F Yin, M L Giger, 1994, Medical physics.

Computer-aided detection of clustered microcalcifications

Robert M. Nishikawa, Maryellen L. Giger, Kunio Doi, 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

Temporal Machine Learning Analysis of Prior Mammograms for Breast Cancer Risk Prediction

Natalie M. Baughan, M. Giger, L. Lan, 2023, Cancers.

MO-DE-207B-06: Computer-Aided Diagnosis of Breast Ultrasound Images Using Transfer Learning From Deep Convolutional Neural Networks.

B Huynh, M Giger, K Drukker, 2016, Medical physics.

Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems

Hiroyuki Abe, Li Lan, Hui Li, 2017, Journal of medical imaging.

A fuzzy c-means (FCM) based algorithm for intensity inhomogeneity correction and segmentation of MR images

Maryellen L. Giger, Weijie Chen, M. Giger, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Potential of computer‐aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions

Li Lan, Maryellen Giger, Neha Bhooshan, 2014, Journal of magnetic resonance imaging : JMRI.

Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients

Maryellen L. Giger, Karen Drukker, Hiroyuki Abe, 2013, International Journal of Computer Assisted Radiology and Surgery.

Residual analysis of the water resonance signal in breast lesions imaged with high spectral and spatial resolution (HiSS) MRI: a pilot study.

Maryellen L Giger, Gregory S Karczmar, Milica Medved, 2014, Medical physics.

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography

Jordan D. Fuhrman, M. Giger, Hui Li, 2023, Journal of medical imaging.

Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19

M. Giger, K. Drukker, Qiyuan Hu, 2021, Journal of medical imaging.

Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers

Madeleine S. Durkee, M. Giger, M. Clark, 2023, Medical Imaging.

Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis

Maryellen L. Giger, Madeleine S. Durkee, Marcus R. Clark, 2021, Journal of biomedical optics.

Ideal observer approximation using Bayesian classification neural networks

Maryellen L. Giger, Matthew A. Kupinski, Charles E. Metz, 2001, IEEE Transactions on Medical Imaging.

Clinical significance of noncalcified lung nodules in patients with breast cancer

S. Armato, M. Giger, H. MacMahon, 2016, Breast Cancer Research and Treatment.

Role of machine learning in differentiating benign from malignant indeterminate thyroid nodules: a literature review

M. Giger, L. Lan, Hui Li, 2023, Health Sciences Review.

Breast density estimation from high spectral and spatial resolution MRI

Hiroyuki Abe, Hui Li, Maryellen L Giger, 2016, Journal of medical imaging.

Preliminary assessment of dispersion versus absorption analysis of high spectral and spatial resolution magnetic resonance images in the diagnosis of breast cancer

Maryellen L Giger, Gregory S Karczmar, William A Weiss, 2015, Journal of medical imaging.

Influence of magnet strength on background parenchymal enhancement evaluation

M. Giger, A. Edwards, L. Douglas, 2023, Medical Imaging.

Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI

Deepa Sheth, Maryellen Giger, Lindsay Douglas, 2021, Medical Imaging.

Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI

Maryellen L. Giger, Karen Drukker, Hiroyuki Abe, 2021, Medical Imaging.

Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations

Maryellen L. Giger, Hui Li, Kayla R. Mendel, 2016, SPIE Medical Imaging.

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.

M. Giger, Jayashree Kalpathy-Cramer, B. Sahiner, 2023, Journal of medical imaging.

Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort

M. Giger, M. McNitt-Gray, B. Sahiner, 2023, Medical Imaging.

Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs

S. Armato, M. Giger, H. MacMahon, 2021, Journal of Digital Imaging.

Quantitative imaging test approval and biomarker qualification: interrelated but distinct activities.

G. McLennan, Paul Kinahan, R. Boellaard, 2011, Radiology.

User experience evaluation for MIDRC AI interface

Jordan D. Fuhrman, M. Giger, Hui Li, 2023, Medical Imaging.

Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound

M. Giger, L. Lan, X. Keutgen, 2023, Medical Imaging.

Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility

Maryellen L. Giger, Heber MacMahon, Samuel G. Armato, 1999, Journal of Digital Imaging.

Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.

Karen Drukker, Hiroyuki Abe, Maryellen L Giger, 2015, European journal of radiology.

Feature selection and classifiers for the computerized detection of mass lesions in digital mammography

Matthew A. Kupinski, Maryellen L. Giger, M. Giger, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Three-dimensional reconstruction of liver from 2-D tomographic slices

Maryellen L. Giger, Chin-Tu Chen, Charles E. Kahn, 1991, Other Conferences.

Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla

Maryellen L. Giger, Karen Drukker, M. Giger, 2008, SPIE Medical Imaging.

Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.

M. Giger, K. Drukker, C. Sennett, 2008, Radiology.

Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound

Maryellen L. Giger, Karen Drukker, Charlene A. Sennett, 2009, IEEE Transactions on Medical Imaging.

Comparing Mask R-CNN and U-Net architectures for robust automatic segmentation of immune cells in immunofluorescence images of Lupus Nephritis biopsies

Maryellen L. Giger, Madeleine S. Durkee, Marcus R. Clark, 2021, BiOS.

Computerized detection of pulmonary nodules on CT scans.

S. Armato, M. Giger, K. Doi, 1999, Radiographics : a review publication of the Radiological Society of North America, Inc.

Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme

Wei Zhang, Maryellen L. Giger, Kunio Doi, 1994, Journal of Digital Imaging.

on Recent Trends in Engineering and Technology

R. Rangayyan, M. Giger, D. Wolverton, 2017 .

Image processing and computer-aided diagnosis.

M Giger, H MacMahon, M. Giger, 1996, Radiologic clinics of North America.

SU-D-207B-06: Predicting Breast Cancer Malignancy On DCE-MRI Data Using Pre-Trained Convolutional Neural Networks.

Benjamin Q. Huynh, M. Giger, Natalia Antropova, 2016, Medical physics.

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction

M. Giger, K. Drukker, Hui Li, 2023, Medical Imaging.

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction

M. Giger, K. Drukker, Hui Li, 2023, Medical Imaging.

Computer-Aided Diagnosis in Mammography

Maryellen L. Giger, Matthew A. Kupinski, Carl J. Vyborny, 2000 .

Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms

Wei Zhang, Hiroyuki Yoshida, Robert M. Nishikawa, 1995, Proceedings., International Conference on Image Processing.

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

Maryellen L. Giger, Heather M. Whitney, Qiyuan Hu, 2020, Scientific Reports.

Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect

Natalie M. Baughan, M. Giger, L. Lan, 2023, Journal of medical imaging.

Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging pdf

Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger, 2019, ArXiv.

Region-of-interest reconstruction of motion-contaminated data using a weighted backprojection filtration algorithm.

Xiaochuan Pan, Martin King, Maryellen Giger, 2006, Medical physics.