Neural network approach for differential diagnosis of interstitial lung diseases. - Naoki Asada; Kunio Doi; Heber MacMahon; Steven M. Montner; Maryellen Lissak Giger; Chihiro Abe; Chris Yuzheng Wu (Image Processing, 1990)

Investigation of methods for the computerized detection and analysis of mammographic masses. - Maryellen Lissak Giger; Fang-Fang Yin; Kunio Doi; Charles E. Metz; Robert A. Schmidt; Carl J. Vyborny (Image Processing, 1990)

Evaluating the EM algorithm for image processing using a human visual fidelity criterion. - James C. Brailean; Barry J. Sullivan; Chin-Tu Chen; Maryellen L. Giger (ICASSP, 1991)

Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making. - Yuzheng C. Wu; Kunio Doi; Charles E. Metz; Naoki Asada; Maryellen L. Giger (J. Digit. Imaging, 1993)

Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images. - Barry J. Sullivan; Rashid Ansari; Maryellen L. Giger; Heber MacMahon (ICIP (2), 1994)

Development of a digital duplication system for portable chest radiographs. - Kenneth R. Hoffmann; Kunio Doi; Heber MacMahon; Maryellen L. Giger; Robert M. Nishikawa; Xin-Wei Xu; Lian Yao; Akiko Kano; Michael Carlin (J. Digit. Imaging, 1994)

Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. - Yuzheng C. Wu; Kunio Doi; Maryellen L. Giger; Charles E. Metz; Wei Zhang (J. Digit. Imaging, 1994)

Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. - Fang-Fang Yin; Maryellen L. Giger; Kunio Doi; Carl J. Vyborny; Robert A. Schmidt (J. Digit. Imaging, 1994)

Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application]. - Barry J. Sullivan; Rashid Ansari; Maryellen L. Giger; Heber MacMahon (ICIP, 1995)

Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. - Hiroyuki Yoshida; Wei Zhang; Weidong Cai 004; Kunio Doi; Robert M. Nishikawa; Maryellen L. Giger (ICIP (3), 1995)

Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. - Yuzheng C. Wu; Kunio Doi; Maryellen L. Giger (J. Digit. Imaging, 1995)

Erratum to: Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. - Yuzheng C. Wu; Kunio Doi; Maryellen L. Giger (J. Digit. Imaging, 1995)

Feature selection and classifiers for the computerized detection of mass lesions in digital mammography. - Matthew A. Kupinski; Maryellen L. Giger (ICNN, 1997)

Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. - Maryellen L. Giger; Zhimin Huo; Dulcy E. Wolverton; Carl J. Vyborny; Catherine Moran; Robert A. Schmidt; Hania A. Al-Hallaq; Robert M. Nishikawa; Kunio Doi (Digital Mammography / IWDM, 1998)

Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers. - Zhimin Huo; Maryellen L. Giger; Funmi I. Olopade; Dulcy E. Wolverton; Shelly Cummings (Digital Mammography / IWDM, 1998)

Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. - Yulei Jiang; Robert M. Nishikawa; Robert A. Schmidt; Charles E. Metz; Maryellen L. Giger; Kunio Doi (Digital Mammography / IWDM, 1998)

Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. - Robert M. Nishikawa; Maryellen L. Giger; Dulcy E. Wolverton; Robert A. Schmidt; Christopher E. Comstock; John Papaioannou; Stephen A. Collins; Kunio Doi (Digital Mammography / IWDM, 1998)

Automated detection of pulmonary nodules in helical computed tomography images of the thorax. - Samuel G. Armato; Maryellen Lissak Giger; Catherine J. Moran; Heber MacMahon; Kunio Doi (Image Processing, 1998)

Automated feature extraction and classification of breast lesions in magnetic resonance images. - Kenneth G. A. Gilhuijs; Maryellen Lissak Giger; Ulrich Bick (Image Processing, 1998)

Automated Seeded Lesion Segmentation on Digital Mammograms. - Matthew A. Kupinski; Maryellen L. Giger (IEEE Trans. Medical Imaging, 1998)

Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images. - Maryellen L. Giger; Zhimin Huo (CEC, 1999)

Three-dimensional approach to lung nodule detection in helical CT. - Samuel G. Armato; Maryellen Lissak Giger; James T. Blackburn; Kunio Doi; Heber MacMahon (Image Processing, 1999)

Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. - Samuel G. Armato III; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 1999)

Analysis of a three-dimensional lung nodule detection method for thoracic CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Heber MacMahon (Image Processing, 2000)

Incorporation of clinical data into a computerized method for the assessment of mammographic breast lesions. - Zhimin Huo; Maryellen Lissak Giger (Image Processing, 2000)

Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography. - Matthew A. Kupinski; Mark A. Anastasio; Maryellen Lissak Giger (Image Processing, 2000)

Computer-aided diagnosis of breast lesions in medical images. - Maryellen L. Giger (Comput. Sci. Eng., 2000)

Current status and future direction of computer-aided diagnosis in chest CT. - Maryellen L. Giger; Samuel G. Armato III (CARS, 2001)

Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Kunio Doi; Ulrich Bick; Heber MacMahon (Image Processing, 2001)

Computer-aided diagnosis of lesions on multimodality images of the breast. - Maryellen Lissak Giger; Zhimin Huo; Karla Horsch; R. Edward Hendrick; Luz A. Venta; Carl J. Vyborny; Ioana R. Bonta; Li Lan (Image Processing, 2001)

Computer-Aided Diagnosis in Medical Imaging. - Maryellen L. Giger; Nico Karssemeijer; Samuel G. Armato III (IEEE Trans. Medical Imaging, 2001)

Computerized Analysis of Multiple-Mammographic Views: Potential Usefulness of Special View Mammograms in Computer-Aided Diagnosis. - Zhimin Huo; Maryellen L. Giger; Carl J. Vyborny (IEEE Trans. Medical Imaging, 2001)

Ideal Observer Approximation Using Bayesian Classification Neural Networks. - Matthew A. Kupinski; Darrin C. Edwards; Maryellen L. Giger; Charles E. Metz (IEEE Trans. Medical Imaging, 2001)

Investigation of using bone texture analysis on bone densitometry images. - Michael R. Chinander; Maryellen Lissak Giger; Ruchi D. Shah; Tamara J. Vokes (Image Processing, 2002)

Computerized analysis of sonograms for the detection of breast lesions. - Karen Drukker; Maryellen Lissak Giger; Karla Horsch; Carl J. Vyborny (Image Processing, 2002)

Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids. - Maryellen Lissak Giger; Zhimin Huo; Carl J. Vyborny; Li Lan; Ioana R. Bonta; Karla Horsch; Robert M. Nishikawa; Ingrid Rosenborough (Image Processing, 2002)

Optimizing feature selection across a multimodality database in computerized classification of breast lesions. - Karla Horsch; Alfredo Fredy Ceballos; Maryellen Lissak Giger; Ioana R. Bonta; Zhimin Huo; Carl J. Vyborny; R. Edward Hendrick; Li Lan (Image Processing, 2002)

Effect of case mix on feature selection in the computerized classification of mammographic lesions. - Zhimin Huo; Maryellen Lissak Giger (Image Processing, 2002)

Computerized detection and classification of lesions on breast ultrasound. - Karen Drukker; Maryellen Lissak Giger; Carl J. Vyborny; Robert A. Schmidt; Ellen B. Mendelson; Michael Stern (Image Processing, 2003)

Comparison of approaches for risk-modulated CAD. - Maryellen Lissak Giger; Li Lan; Zhimin Huo; Carl J. Vyborny; Hui Li 024 (Image Processing, 2003)

Computerized analysis of mammographic parenchymal patterns using fractal analysis. - Hui Li 024; Maryellen Lissak Giger; Zhimin Huo; Olufunmilayo I. Olopade; Michael R. Chinander; Li Lan; Ioana R. Bonta (Image Processing, 2003)

Computerized assessment of tumor extent in contrast-enhanced MR images of the breast. - Weijie Chen 007; Maryellen L. Giger; Gillian Newstead; Ulrich Bick; Li Lan (CARS, 2004)

Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture. - Michael R. Chinander; Maryellen L. Giger; Vit Jaros; Tamara J. Vokes; Hui Li 024 (CARS, 2004)

Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Anna Margolis; Li Lan; Ioana Bonta (CARS, 2004)

Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. - Ingrid S. Reiser; Robert M. Nishikawa; Maryellen L. Giger; Elizabeth A. Rafferty; Daniel B. Kopans; Richard H. Moore; Tao Wu (CARS, 2004)

A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images. - Weijie Chen 007; Maryellen L. Giger (ISBI, 2004)

Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm. - Weijie Chen 007; Maryellen Lissak Giger; Ulrich Bick (Image Processing, 2004)

Computerized detection and 3-way classification of breast lesions on ultrasound images. - Karen Drukker; Darrin C. Edwards; Maryellen Lissak Giger; Robert M. Nishikawa; Charles E. Metz (Image Processing, 2004)

A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. - Ingrid S. Reiser; Emil Y. Sidky; Maryellen Lissak Giger; Robert M. Nishikawa; Elizabeth A. Rafferty; Daniel B. Kopans; Richard H. Moore; Tao Wu (Image Processing, 2004)

Correlation of lesions from multiple images for CAD. - Hui-Hua Wen; Maryellen Lissak Giger; Karla Horsch; R. Edward Hendrick; Carl J. Vyborny; Li Lan (Image Processing, 2004)

Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound. - Nicholas Gruszauskas; Karen Drukker; Maryellen Lissak Giger (Image Processing, 2005)

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Kenji Suzuki 001; Andrew R. Jamieson; Laura Yarusso; Robert M. Nishikawa; Charlene A. Sennett (Digital Mammography / IWDM, 2006)

A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts. - Weijie Chen 007; Maryellen L. Giger (Image Processing, 2006)

Power spectral analysis of mammographic parenchymal patterns. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade (Image Processing, 2006)

Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis. - Joel R. Wilkie; Maryellen L. Giger; Charles A. Engh; John M. Martell (Image Processing, 2006)

A two-stage method for lesion segmentation on digital mammograms. - Yading Yuan; Maryellen L. Giger; Kenji Suzuki 001; Hui Li 024; Andrew R. Jamieson (Image Processing, 2006)

Progress in Breast Cadx. - Maryellen L. Giger; Yading Yuan; Hui Li 024; Karen Drukker; Weijie Chen 007; Li Lan; Karla Horsch (ISBI, 2007)

Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging. - Weijie Chen 007; Richard M. Zur; Maryellen L. Giger (Computer-Aided Diagnosis, 2007)

The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx. - Karen Drukker; Charlene A. Sennett; Maryellen L. Giger (Computer-Aided Diagnosis, 2007)

An image database management system for conducting CAD research. - Nicholas Gruszauskas; Karen Drukker; Maryellen L. Giger (Computer-Aided Diagnosis, 2007)

Computer-aided assessment of cardiac computed tomographic images. - Martin King; Maryellen L. Giger; Kenji Suzuki 001; Xiaochuan Pan (Computer-Aided Diagnosis, 2007)

Automatic selection of region of interest for radiographic texture analysis. - Li Lan; Maryellen L. Giger; Joel R. Wilkie; Tamara J. Vokes; Weijie Chen 007; Hui Li 024; Tracy Lyons; Michael R. Chinander; Ann Pham (Computer-Aided Diagnosis, 2007)

Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis. - Joel R. Wilkie; Maryellen L. Giger; Lorenzo L. Pesce; Charles A. Engh; Robert H. Hopper; John M. Martell (Computer-Aided Diagnosis, 2007)

Performance of CADx on a Large Clinical Database of FFDM Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Li Lan; Charlene A. Sennett (Digital Mammography / IWDM, 2008)

Hybrid linear classifier for jointly normal data: theory. - Weijie Chen 007; Charles E. Metz; Maryellen L. Giger (Computer-Aided Diagnosis, 2008)

Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla. - Karen Drukker; Maryellen L. Giger (Computer-Aided Diagnosis, 2008)

Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. - Zachary B. Rodgers; Martin King; Maryellen L. Giger; Michael W. Vannier; Dianna M. E. Bardo; Kenji Suzuki 001; Li Lan (Computer-Aided Diagnosis, 2008)

Correlative feature analysis of FFDM images. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2008)

Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Michael R. Chinander (J. Digit. Imaging, 2008)

Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. - Neha Bhooshan; Maryellen L. Giger; Darrin C. Edwards; Karen Drukker; Sanaz Jansen; Hui Li 024; Li Lan; Gillian Newstead (Computer-Aided Diagnosis, 2009)

Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. - Karen Drukker; Nicholas Gruszauskas; Maryellen L. Giger (Computer-Aided Diagnosis, 2009)

Computerized breast parenchymal analysis on DCE-MRI. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Sanaz A. Jansen; Li Lan; Neha Bhooshan; Gillian M. Newstead (Computer-Aided Diagnosis, 2009)

Breast cancer classification with mammography and DCE-MRI. - Yading Yuan; Maryellen L. Giger; Hui Li 024; Charlene A. Sennett (Computer-Aided Diagnosis, 2009)

Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. - Karen Drukker; Charlene A. Sennett; Maryellen L. Giger (IEEE Trans. Medical Imaging, 2009)

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. - Neha Bhooshan; Maryellen L. Giger; Karen Drukker; Yading Yuan; Hui Li 024; Stephanie McCann; Gillian Newstead; Charlene A. Sennett (Digital Mammography / IWDM, 2010)

Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk. - Hui Li 024; Maryellen L. Giger; Olufunmilayo I. Olopade; Li Lan (Digital Mammography / IWDM, 2010)

Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI. - Jeremy Bancroft Brown; Maryellen L. Giger; Neha Bhooshan; Gillian Newstead; Sanaz Jansen (Computer-Aided Diagnosis, 2010)

Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. - Karen Drukker; Lorenzo L. Pesce; Maryellen L. Giger (Computer-Aided Diagnosis, 2010)

Effect of variable gain on computerized texture analysis on digitalized mammograms. - Hui Li 024; Maryellen L. Giger; Li Lan; Yading Yuan; Neha Bhooshan; Olufunmilayo I. Olopade (Computer-Aided Diagnosis, 2010)

Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. - Ingrid S. Reiser; S. P. Joseph; Robert M. Nishikawa; Maryellen L. Giger; John M. Boone; Karen K. Lindfors; Alexandra Edwards; Nathan J. Packard; Richard H. Moore; Daniel B. Kopans (Computer-Aided Diagnosis, 2010)

A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. - Weijie Chen 007; Charles E. Metz; Maryellen L. Giger; Karen Drukker (IEEE Trans. Medical Imaging, 2010)

Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions. - Neha Bhooshan; Darrin C. Edwards; Maryellen L. Giger (Computer-Aided Diagnosis, 2011)

Exploring deep parametric embeddings for breast CADx. - Andrew R. Jamieson; Rabi Alam; Maryellen L. Giger (Computer-Aided Diagnosis, 2011)

Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; Kai Yang; Alexandra Edwards (Digital Mammography / IWDM, 2012)

Breast image feature learning with adaptive deconvolutional networks. - Andrew R. Jamieson; Karen Drukker; Maryellen L. Giger (Computer-Aided Diagnosis, 2012)

Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. - H. Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; K. Yang; Alexandra Edwards (Computer-Aided Diagnosis, 2012)

Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. - Yahui Peng; Yulei Jiang; Vladimir M. Liarski; Natalya Kaverina; Marcus R. Clark; Maryellen L. Giger (Computer-Aided Diagnosis, 2012)

Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets. - Hui Li 024; Maryellen L. Giger; Li Lan; Jeremy Bancroft Brown; Aoife MacMahon; Mary Mussman; Olufunmilayo I. Olopade; Charlene A. Sennett (J. Digit. Imaging, 2012)

Automatic 3D lesion segmentation on breast ultrasound images. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; Karen Drukker; Alexandra Edwards; Charlene A. Sennett (Computer-Aided Diagnosis, 2013)

A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer. - Yahui Peng; Yulei Jiang; Tatjana Antic; Maryellen L. Giger; Scott Eggener; Aytekin Oto (Computer-Aided Diagnosis, 2013)

Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. - Karen Drukker; Maryellen L. Giger; Lina Arbash Meinel; Adam Starkey; Jyothi Janardanan; Hiroyuki Abe (Int. J. Comput. Assist. Radiol. Surg., 2013)

Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes. - Maryellen L. Giger; Hui Li 024; Li Lan; Hiroyuki Abe; Gillian Newstead (Digital Mammography / IWDM, 2014)

Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. - Serghei Malkov; Fred Duewer; Karla Kerlikowske; Karen Drukker; Maryellen L. Giger; John Shepherd 002 (Digital Mammography / IWDM, 2014)

Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. - Karen Drukker; Maryellen L. Giger; Fred Duewer; Serghei Malkov; Christopher I. Flowers; Bonnie N. Joe; Karla Kerlikowske; Jennifer S. Drukteinis; John Shepherd 002 (Computer-Aided Diagnosis, 2014)

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. - Hsien-Chi Kuo; Maryellen L. Giger; Ingrid S. Reiser; John M. Boone; Karen K. Lindfors; Kai Yang; Alexandra Edwards (J. Digit. Imaging, 2014)

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. - Jesús Ávila; Serghei Malkov; Maryellen L. Giger; Karen Drukker; John A. Shepherd 002 (Digital Mammography / IWDM, 2016)

Calibration Procedure of Three Component Mammographic Breast Imaging. - Serghei Malkov; Jesús Ávila; Bo Fan 001; Bonnie N. Joe; Karla Kerlikowske; Maryellen L. Giger; Karen Drukker; Jennifer S. Drukteinis; Leila Kazemi; Malesa Pereira; John Shepherd 002 (Digital Mammography / IWDM, 2016)

Computerized segmentation algorithm with personalized atlases of murine MRIs in a SV40 large T-antigen mouse mammary cancer model. - Adam R. Sibley; Erica Markiewicz; Devkumar Mustafi; Xiaobing Fan; Suzanne D. Conzen; Gregory S. Karczmar; Maryellen L. Giger (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Identification, segmentation, and characterization of microcalcifications on mammography. - Karen Drukker; Serghei Malkov; Jesús Ávila; Karla Kerlikowske; Bonnie N. Joe; Gregor Krings; Jennifer Creasman; Jennifer S. Drukteinis; Malesa M. Pereira; Leila Kazemi; John Shepherd 002; Maryellen L. Giger (Computer-Aided Diagnosis, 2016)

Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations. - Kayla R. Mendel; Hui Li 024; Maryellen L. Giger (Computer-Aided Diagnosis, 2016)

Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. - Natasha Antropova; Benjamin Q. Huynh; Maryellen L. Giger (Computer-Aided Diagnosis, 2017)

Deep learning and three-compartment breast imaging in breast cancer diagnosis. - Karen Drukker; Benjamin Q. Huynh; Maryellen L. Giger; Serghei Malkov; Jesús I. Ávila; Bo Fan 001; Bonnie N. Joe; Karla Kerlikowske; Jennifer S. Drukteinis; Leila Kazemi; Malesa M. Pereira; John Shepherd 002 (Computer-Aided Diagnosis, 2017)

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. - Benjamin Q. Huynh; Natasha Antropova; Maryellen L. Giger (Computer-Aided Diagnosis, 2017)

Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. - Hui Li 024; Deepa Sheth; Kayla R. Mendel; Li Lan; Maryellen L. Giger (IWBI, 2018)

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. - Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (IWBI, 2018)

Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging. - Taylor A. Hinsdale; Bilal H. Malik; Shuna Cheng; Maryellen L. Giger; John Wright; Paras Patel; Javier A. Jo; Kristen C. Maitland (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Recurrent neural networks for breast lesion classification based on DCE-MRIs. - Natasha Antropova; Benjamin Q. Huynh; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. - Karen Drukker; Rachel Anderson; Alexandra Edwards; John Papaioannou; Fred Pineda; Hiroyuki Abe; Gregory Karzcmar; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Variations in algorithm implementation among quantitative texture analysis software packages. - Joseph J. Foy; Prerana Mitta; Lauren R. Nowosatka; Kayla R. Mendel; Hui Li 024; Maryellen L. Giger; Hania A. Al-Hallaq; Samuel G. Armato III (Computer-Aided Diagnosis, 2018)

Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. - Hui Li 024; Kayla R. Mendel; John H. Lee; Li Lan; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Temporal assessment of radiomic features on clinical mammography in a high-risk population. - Kayla R. Mendel; Hui Li 024; Li Lan; Chun-Wai Chan; Lauren M. King; Nabihah Tayob; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. - Kayla R. Mendel; Hui Li 024; Deepa Sheth; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. - Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2018)

Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks. - Adam R. Sibley; Maryellen L. Giger; Vladimir Liarski; Marcus R. Clark (Digital Pathology, 2018)

Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer. - Rachel Anderson; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. - Karen Drukker; Iman El-Bawab; Alexandra Edwards; Christopher Doyle; John Papaioannou; Kirti Kulkarni; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. - Jordan D. Fuhrman; Jennie Crosby; Rowena Yip; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. - Qiyuan Hu; Heather M. Whitney; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment. - Kayla R. Mendel; Hui Li 024; Nabihah Tayob; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. - Heather M. Whitney; Yu Ji; Hui Li 024; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. - Qiyuan Hu; Heather M. Whitney; Maryellen L. Giger (CoRR, 2019)

Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets. - Jennie Crosby; Thomas Rhines; Feng Li 018; Heber MacMahon; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. - Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. - Jordan D. Fuhrman; Rowena Yip; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI. - Qiyuan Hu; Heather M. Whitney; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Case-based repeatability of machine learning classification performance on breast MRI. - Michael Vieceli; Amy Van Dusen; Karen Drukker; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney (Computer-Aided Diagnosis, 2020)

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 (Computer-Aided Diagnosis, 2020)

Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. - Madeleine S. Durkee; Bradie M. Ferguson; Rebecca Abraham; Li Lan; Hui Li 024; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2020)

Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN. - Madeleine S. Durkee; Adam R. Sibley; Junting Ai; Rebecca Abraham; Vladimir M. Liarski; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2020)

Network output visualization to uncover limitations of deep learning detection of pneumothorax. - Jennie Crosby; Sophia Chen; Feng Li 018; Heber MacMahon; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2020)

Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. - Amy Van Dusen; Michael Vieceli; Karen Drukker; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney (Image Perception, Observer Performance, and Technology Assessment, 2020)

Effect of observer variability and training cases on U-Net segmentation performance. - Jordan D. Fuhrman; Peter Halloran; Rowena Yip; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2020)

Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation). - Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2020)

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. - Heather M. Whitney; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Proc. IEEE, 2020)

Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. - Paul Amstutz; Karen Drukker; Hui Li 024; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney (Computer-Aided Diagnosis, 2021)

Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity. - Natalie M. Baughan; Hui Li 024; Li Lan; Chun-Wai Chan; Matthew Embury; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. - Roma Bhattacharjee; Lindsay Douglas; Karen Drukker; Qiyuan Hu; Jordan D. Fuhrman; Deepa Sheth; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI. - Lindsay Douglas; Deepa Sheth; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. - Jordan D. Fuhrman; Linnea Kremer; Yeqing Zhu; Rowena Yip; Feng Li 018; Li Lan; Hui Li 024; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning. - Qiyuan Hu; Karen Drukker; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. - Rebecca Abraham; Madeleine S. Durkee; Margaret Veselits; Junting Ai; Jordan D. Fuhrman; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2021)

Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies. - Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2021)

Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease. - Bradie M. Ferguson; Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Hui Li 024; Li Lan; Julian Bertini; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2021)

Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI. - Michelle de Oliveira; Karen Drukker; Michael Vieceli; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney (Image Perception, Observer Performance, and Technology Assessment, 2021)

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. - Feng Li 018; Samuel G. Armato; Roger Engelmann; Thomas Rhines; Jennie Crosby; Li Lan; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 2021)

Association between DCE MRI background parenchymal enhancement and mammographic texture features. - Natalie M. Baughan; Lindsay Douglas; Maya Ballard; Esther Seoyeon Lee; Alexandra Edwards; Li Lan; Hui Li 024; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers. - Heather M. Whitney; Yu Ji; Hui Li 024; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

Sequestration of imaging studies in MIDRC: a multi-institutional data commons. - Natalie M. Baughan; Heather M. Whitney; Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Michael F. McNitt-Gray; Kyle J. Myers; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2022)

Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning. - Heather M. Whitney; Karen Drukker; Hiroyuki Abe; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2022)

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. - Zilinghan Li; Shilan He; Pranshu Chaturvedi; Trung-Hieu Hoang; Minseok Ryu; Eliu A. Huerta; Volodymyr V. Kindratenko; Jordan D. Fuhrman; Maryellen L. Giger; Ryan Chard; Kibaek Kim; Ravi K. Madduri (e-Science, 2023)

Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound. - J. L. Cozzi; Hui Li 024; Julian Conn Busch; J. Williams; Li Lan; Xavier M. Keutgen; Maryellen L. Giger (Computer-Aided Diagnosis, 2023)

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. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs. - Mena Shenouda; Aditi Kaveti; Isabella Flerlage; Jayashree Kalpathy-Cramer; Maryellen L. Giger; Samuel G. Armato III (Computer-Aided Diagnosis, 2023)

Influence of magnet strength on background parenchymal enhancement evaluation. - Lindsay Douglas; Trisha Mondal; Alexandra Edwards; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. - Karen Drukker; Hui Li 024; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

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. - Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Heather M. Whitney; Natalie M. Baughan; Kyle J. Myers; Maryellen L. Giger; Michael F. McNitt-Gray (Image Perception, Observer Performance, and Technology Assessment, 2023)

Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers. - Madeleine S. Durkee; Nevaeh Petrie; Kyle Lleras; Junting Ai; Rebecca Abraham; J. Cy Chittenden; Chasity Kasir; Fiona Clark; Gabriel Casella; Marcus R. Clark; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. - Heather M. Whitney; Hui Li 024; Karen Drukker; Michael Reeve; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2023)

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. - Trung-Hieu Hoang; Jordan D. Fuhrman; Ravi K. Madduri; Miao Li; Pranshu Chaturvedi; Zilinghan Li; Kibaek Kim; Minseok Ryu; Ryan Chard; Eliu A. Huerta; Maryellen L. Giger (CoRR, 2023)

Ten Pillars for Data Meshes. - Robert L. Grossman; Ceilyn Boyd; Nhan V. Do; Danne C. Elbers; Michael Sean Fitzsimons; Maryellen L. Giger; Anthony Juehne; Brienna Larrick; Jerry S. H. Lee; Dawei Lin; Michael Lukowski; James D. Myers; et al. (CoRR, 2024)

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. - Joseph L. Cozzi; Hui Li 024; Jordan D. Fuhrman; Li Lan; Jelani Williams; Brendan Finnerty; Thomas J. Fahey; Abhinay Tumati; Joshua Genender; Xavier M. Keutgen; Maryellen L. Giger (Int. J. Comput. Assist. Radiol. Surg., 2025)

AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs. - Heather M. Whitney; Hui Li 024; Karen Drukker; Elbert Huang; Maryellen L. Giger (CoRR, 2025)