Maryellen L. Giger

ORCID

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 65

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Medical Imaging: Digital Pathology

Digital Mammography / IWDM

Publications

Lin Guo, Kunlei Hong, Ziqi Zhang, Bin Zheng, Stefan Jaeger, Jordan D. Fuhrman, Hui Li, Maryellen L. Giger, Andrei Gabrielian, Alex Rosenthal, Darrell E. Hurt, Ziv Yaniv, Y. M. Fleming Lure
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. Medical Imaging: Computer-Aided Diagnosis (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science (2023)
J. L. Cozzi, Hui Li, Julian Conn Busch, J. Williams, Li Lan, X. Keutgen, Maryellen L. Giger
Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound. Medical Imaging: Computer-Aided Diagnosis (2023)
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, E. A. Huerta, Maryellen L. Giger
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR (2023)
Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR (2023)
Karen Drukker, Hui Li, Maryellen L. Giger
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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
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. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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
Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Lindsay Douglas, Trisha Mondal, Alexandra Edwards, Maryellen L. Giger
Influence of magnet strength on background parenchymal enhancement evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Mena Shenouda, Aditi Kaveti, Isabella Flerlage, Jayashree Kalpathy-Cramer, Maryellen L. Giger, Samuel G. Armato III
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs. Medical Imaging: Computer-Aided Diagnosis (2023)
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
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Natalie M. Baughan, Lindsay Douglas, Maya Ballard, Esther Seoyeon Lee, Alexandra Edwards, Li Lan, Hui Li, Maryellen L. Giger
Association between DCE MRI background parenchymal enhancement and mammographic texture features. Medical Imaging: Computer-Aided Diagnosis (2022)
Heather M. Whitney, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Heather M. Whitney, Yu Ji, Hui Li, Peifang Liu, Maryellen L. Giger
Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers. Medical Imaging: Computer-Aided Diagnosis (2022)
Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Marcus R. Clark, Maryellen L. Giger
Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies. Medical Imaging: Digital Pathology (2021)
Roma Bhattacharjee, Lindsay Douglas, Karen Drukker, Qiyuan Hu, Jordan D. Fuhrman, Deepa Sheth, Maryellen L. Giger
Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2021)
Lindsay Douglas, Deepa Sheth, Maryellen L. Giger
Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2021)
Qiyuan Hu, Karen Drukker, Maryellen L. Giger
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning. Medical Imaging: Computer-Aided Diagnosis (2021)
Bradie M. Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease. Medical Imaging: Digital Pathology (2021)
Jordan D. Fuhrman, Linnea Kremer, Yeqing Zhu, Rowena Yip, Feng Li, Li Lan, Hui Li, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis (2021)
Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. Medical Imaging: Digital Pathology (2021)
Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Feng Li, Samuel G. Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby, Li Lan, Maryellen L. Giger, Heber MacMahon
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J. Digit. Imaging 34 (4) (2021)
Paul Amstutz, Karen Drukker, Hui Li, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. Medical Imaging: Computer-Aided Diagnosis (2021)
Natalie M. Baughan, Hui Li, Li Lan, Chun-Wai Chan, Matthew Embury, Gary Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity. Medical Imaging: Computer-Aided Diagnosis (2021)
Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Effect of observer variability and training cases on U-Net segmentation performance. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Jennie Crosby, Thomas Rhines, Feng Li, Heber MacMahon, Maryellen L. Giger
Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets. Medical Imaging: Computer-Aided Diagnosis (2020)
Jennie Crosby, Sophia Chen, Feng Li, Heber MacMahon, Maryellen L. Giger
Network output visualization to uncover limitations of deep learning detection of pneumothorax. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Heather M. Whitney, Maryellen L. Giger
Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast. Medical Imaging: Computer-Aided Diagnosis (2020)
Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2020)
Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. Proc. IEEE 108 (1) (2020)
Jordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. Medical Imaging: Computer-Aided Diagnosis (2020)
Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Michael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
Case-based repeatability of machine learning classification performance on breast MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Maryellen L. Giger
Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Madeleine S. Durkee, Adam R. Sibley, Junting Ai, Rebecca Abraham, Vladimir M. Liarski, Marcus R. Clark, Maryellen L. Giger
Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN. Medical Imaging: Digital Pathology (2020)
Madeleine S. Durkee, Bradie M. Ferguson, Rebecca Abraham, Li Lan, Hui Li, Marcus R. Clark, Maryellen L. Giger
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. Medical Imaging: Digital Pathology (2020)
Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Medical Imaging: Computer-Aided Diagnosis (2019)
Rachel Anderson, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. CoRR (2019)
Jordan D. Fuhrman, Jennie Crosby, Rowena Yip, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. Medical Imaging: Computer-Aided Diagnosis (2019)
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Kayla R. Mendel, Hui Li, Nabihah Tayob, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Kayla R. Mendel, Hui Li, Li Lan, Chun-Wai Chan, Lauren M. King, Nabihah Tayob, Gary Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
Temporal assessment of radiomic features on clinical mammography in a high-risk population. Medical Imaging: Computer-Aided Diagnosis (2018)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI (2018)
Taylor A. Hinsdale, Bilal H. Malik, Shuna Cheng, Maryellen L. Giger, John Wright, Paras Patel, Javier A. Jo, Kristen C. Maitland
Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Hui Li, Kayla R. Mendel, John H. Lee, Li Lan, Maryellen L. Giger
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. Medical Imaging: Computer-Aided Diagnosis (2018)
Adam R. Sibley, Maryellen L. Giger, Vladimir Liarski, Marcus R. Clark
Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks. Medical Imaging: Digital Pathology (2018)
Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Medical Imaging: Computer-Aided Diagnosis (2018)
Joseph J. Foy, Prerana Mitta, Lauren R. Nowosatka, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania A. Al-Hallaq, Samuel G. Armato III
Variations in algorithm implementation among quantitative texture analysis software packages. Medical Imaging: Computer-Aided Diagnosis (2018)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Medical Imaging: Computer-Aided Diagnosis (2018)
Hui Li, Deepa Sheth, Kayla R. Mendel, Li Lan, Maryellen L. Giger
Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. IWBI (2018)
Kayla R. Mendel, Hui Li, Deepa Sheth, Maryellen L. Giger
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2018)
Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger
Recurrent neural networks for breast lesion classification based on DCE-MRIs. Medical Imaging: Computer-Aided Diagnosis (2018)
Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2017)
Karen Drukker, Benjamin Q. Huynh, Maryellen L. Giger, Serghei Malkov, Jesús I. Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, Leila Kazemi, Malesa M. Pereira, John Shepherd
Deep learning and three-compartment breast imaging in breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2017)
Benjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. Medical Imaging: Computer-Aided Diagnosis (2017)
Jesús Ávila, Serghei Malkov, Maryellen L. Giger, Karen Drukker, John A. Shepherd
Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. Digital Mammography / IWDM (2016)
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, Maryellen L. Giger
Identification, segmentation, and characterization of microcalcifications on mammography. Medical Imaging: Computer-Aided Diagnosis (2016)
Serghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Maryellen L. Giger, Karen Drukker, Jennifer S. Drukteinis, Leila Kazemi, Malesa Pereira, John Shepherd
Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM (2016)
Kayla R. Mendel, Hui Li, Maryellen L. Giger
Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations. Medical Imaging: Computer-Aided Diagnosis (2016)
Adam R. Sibley, Erica Markiewicz, Devkumar Mustafi, Xiaobing Fan, Suzanne D. Conzen, Gregory S. Karczmar, Maryellen L. Giger
Computerized segmentation algorithm with personalized atlases of murine MRIs in a SV40 large T-antigen mouse mammary cancer model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Karen Drukker, Maryellen L. Giger, Fred Duewer, Serghei Malkov, Christopher I. Flowers, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, John Shepherd
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Medical Imaging: Computer-Aided Diagnosis (2014)
Serghei Malkov, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen L. Giger, John A. Shepherd
Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM (2014)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. J. Digit. Imaging 27 (2) (2014)
Maryellen L. Giger, Hui Li, Li Lan, Hiroyuki Abe, Gillian Newstead
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes. Digital Mammography / IWDM (2014)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett
Automatic 3D lesion segmentation on breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2013)
Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger, Scott Eggener, Aytekin Oto
A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2013)
Karen Drukker, Maryellen L. Giger, Lina Arbash Meinel, Adam Starkey, Jyothi Janardanan, Hiroyuki Abe
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int. J. Comput. Assist. Radiol. Surg. 8 (6) (2013)
Hui Li, Maryellen L. Giger, Li Lan, Jeremy Bancroft Brown, Aoife MacMahon, Mary Mussman, Olufunmilayo I. Olopade, Charlene A. Sennett
Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets. J. Digit. Imaging 25 (5) (2012)
Andrew R. Jamieson, Karen Drukker, Maryellen L. Giger
Breast image feature learning with adaptive deconvolutional networks. Medical Imaging: Computer-Aided Diagnosis (2012)
Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, Maryellen L. Giger
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. Medical Imaging: Computer-Aided Diagnosis (2012)
H. Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, K. Yang, A. Edwards
Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. Medical Imaging: Computer-Aided Diagnosis (2012)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. Digital Mammography / IWDM (2012)
Andrew R. Jamieson, Rabi Alam, Maryellen L. Giger
Exploring deep parametric embeddings for breast CADx. Medical Imaging: Computer-Aided Diagnosis (2011)
Neha Bhooshan, Darrin C. Edwards, Maryellen L. Giger
Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions. Medical Imaging: Computer-Aided Diagnosis (2011)
Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging 29 (2) (2010)
Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Li Lan
Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk. Digital Mammography / IWDM (2010)
Jeremy Bancroft Brown, Maryellen L. Giger, Neha Bhooshan, Gillian Newstead, Sanaz Jansen
Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2010)
Karen Drukker, Lorenzo L. Pesce, Maryellen L. Giger
Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2010)
Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM (2010)
Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa, Maryellen L. Giger, John M. Boone, Karen K. Lindfors, A. Edwards, Nathan J. Packard, Richard H. Moore, Daniel B. Kopans
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Medical Imaging: Computer-Aided Diagnosis (2010)
Hui Li, Maryellen L. Giger, Li Lan, Yading Yuan, Neha Bhooshan, Olufunmilayo I. Olopade
Effect of variable gain on computerized texture analysis on digitalized mammograms. Medical Imaging: Computer-Aided Diagnosis (2010)
Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. IEEE Trans. Medical Imaging 28 (1) (2009)
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
Breast cancer classification with mammography and DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Hui Li, Maryellen L. Giger, Yading Yuan, Sanaz A. Jansen, Li Lan, Neha Bhooshan, Gillian M. Newstead
Computerized breast parenchymal analysis on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Neha Bhooshan, Maryellen L. Giger, Darrin C. Edwards, Karen Drukker, Sanaz Jansen, Hui Li, Li Lan, Gillian Newstead
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Karen Drukker, Nicholas Gruszauskas, Maryellen L. Giger
Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. Medical Imaging: Computer-Aided Diagnosis (2009)
Weijie Chen, Charles E. Metz, Maryellen L. Giger
Hybrid linear classifier for jointly normal data: theory. Medical Imaging: Computer-Aided Diagnosis (2008)
Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
Correlative feature analysis of FFDM images. Medical Imaging: Computer-Aided Diagnosis (2008)
Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Michael R. Chinander
Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment. J. Digit. Imaging 21 (2) (2008)
Yading Yuan, Maryellen L. Giger, Hui Li, Li Lan, Charlene A. Sennett
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. Digital Mammography / IWDM (2008)
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Charlene A. Sennett
Performance of CADx on a Large Clinical Database of FFDM Images. Digital Mammography / IWDM (2008)
Karen Drukker, Maryellen L. Giger
Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla. Medical Imaging: Computer-Aided Diagnosis (2008)
Zachary B. Rodgers, Martin King, Maryellen L. Giger, Michael W. Vannier, Dianna M. E. Bardo, Kenji Suzuki, Li Lan
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. Medical Imaging: Computer-Aided Diagnosis (2008)
Nicholas Gruszauskas, Karen Drukker, Maryellen L. Giger
An image database management system for conducting CAD research. Medical Imaging: Computer-Aided Diagnosis (2007)
Martin King, Maryellen L. Giger, Kenji Suzuki, Xiaochuan Pan
Computer-aided assessment of cardiac computed tomographic images. Medical Imaging: Computer-Aided Diagnosis (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maryellen L. Giger