Maryellen L. Giger

145 papers B 7Misc 1Journal 27Unranked 107

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs. CoRR Heather M. Whitney, Hui Li, Karen Drukker, Elbert Huang, Maryellen L. Giger
2025	J	`jnl`	Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. Int. J. Comput. Assist. Radiol. Surg. Joseph L. Cozzi, Hui Li, Jordan D. Fuhrman, Li Lan, Jelani Williams, Brendan Finnerty, Thomas J. Fahey, Abhinay Tumati, Joshua Genender, Xavier M. Keutgen, Maryellen L. Giger
2024	J	`jnl`	A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey. J. Imaging Inform. Medicine Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine P. Andriole, Peter Chang, Keyvan Farahani, Mona G. Flores, Les R. Folio, Sina Houshmand, Maryellen L. Giger, Judy W. Gichoya, Bradley J. Erickson
2024	J	`jnl`	Ten Pillars for Data Meshes. CoRR 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, Philip Schumm, Aarti Venkat
2023	B	`conf`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 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
2023	J	`jnl`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR 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
2023	—	`conf`	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. Computer-Aided Diagnosis 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
2023	—	`conf`	Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs. Computer-Aided Diagnosis Mena Shenouda, Aditi Kaveti, Isabella Flerlage, Jayashree Kalpathy-Cramer, Maryellen L. Giger, Samuel G. Armato III
2023	—	`conf`	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. Image Perception, Observer Performance, and Technology Assessment 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
2023	—	`conf`	Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers. Image Perception, Observer Performance, and Technology Assessment 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
2023	J	`jnl`	Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR 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
2023	—	`conf`	Influence of magnet strength on background parenchymal enhancement evaluation. Image Perception, Observer Performance, and Technology Assessment Lindsay Douglas, Trisha Mondal, Alexandra Edwards, Maryellen L. Giger
2023	—	`conf`	Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. Image Perception, Observer Performance, and Technology Assessment Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
2023	—	`conf`	Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Image Perception, Observer Performance, and Technology Assessment Karen Drukker, Hui Li, Maryellen L. Giger
2023	—	`conf`	Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasound. Computer-Aided Diagnosis J. L. Cozzi, Hui Li, Julian Conn Busch, J. Williams, Li Lan, Xavier M. Keutgen, Maryellen L. Giger
2022	—	`conf`	Association between DCE MRI background parenchymal enhancement and mammographic texture features. Computer-Aided Diagnosis Natalie M. Baughan, Lindsay Douglas, Maya Ballard, Esther Seoyeon Lee, Alexandra Edwards, Li Lan, Hui Li, Maryellen L. Giger
2022	—	`conf`	Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning. Image Perception, Observer Performance, and Technology Assessment Heather M. Whitney, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger
2022	—	`conf`	Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers. Computer-Aided Diagnosis Heather M. Whitney, Yu Ji, Hui Li, Peifang Liu, Maryellen L. Giger
2022	—	`conf`	Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Image Perception, Observer Performance, and Technology Assessment 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
2021	J	`jnl`	Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J. Digit. Imaging Feng Li, Samuel G. Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby, Li Lan, Maryellen L. Giger, Heber MacMahon
2021	—	`conf`	Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. Digital Pathology Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger
2021	—	`conf`	Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. Computer-Aided Diagnosis Paul Amstutz, Karen Drukker, Hui Li, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2021	—	`conf`	Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. Computer-Aided Diagnosis Roma Bhattacharjee, Lindsay Douglas, Karen Drukker, Qiyuan Hu, Jordan D. Fuhrman, Deepa Sheth, Maryellen L. Giger
2021	—	`conf`	Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI. Image Perception, Observer Performance, and Technology Assessment Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2021	—	`conf`	Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI. Computer-Aided Diagnosis Lindsay Douglas, Deepa Sheth, Maryellen L. Giger
2021	—	`conf`	Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies. Digital Pathology Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Marcus R. Clark, Maryellen L. Giger
2021	—	`conf`	Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity. Computer-Aided Diagnosis Natalie M. Baughan, Hui Li, Li Lan, Chun-Wai Chan, Matthew Embury, Gary Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
2021	—	`conf`	Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. Computer-Aided Diagnosis 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
2021	—	`conf`	Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease. Digital Pathology Bradie M. Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger
2021	—	`conf`	Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning. Computer-Aided Diagnosis Qiyuan Hu, Karen Drukker, Maryellen L. Giger
2020	—	`conf`	Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. Computer-Aided Diagnosis Jordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2020	—	`conf`	Case-based repeatability of machine learning classification performance on breast MRI. Computer-Aided Diagnosis Michael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020	J	`jnl`	Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. Proc. IEEE Heather M. Whitney, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger
2020	—	`conf`	Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets. Computer-Aided Diagnosis Jennie Crosby, Thomas Rhines, Feng Li, Heber MacMahon, Maryellen L. Giger
2020	—	`conf`	Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Computer-Aided Diagnosis Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2020	—	`conf`	Effect of observer variability and training cases on U-Net segmentation performance. Image Perception, Observer Performance, and Technology Assessment Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2020	—	`conf`	Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN. Digital Pathology Madeleine S. Durkee, Adam R. Sibley, Junting Ai, Rebecca Abraham, Vladimir M. Liarski, Marcus R. Clark, Maryellen L. Giger
2020	—	`conf`	Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast. Computer-Aided Diagnosis Heather M. Whitney, Maryellen L. Giger
2020	—	`conf`	Network output visualization to uncover limitations of deep learning detection of pneumothorax. Image Perception, Observer Performance, and Technology Assessment Jennie Crosby, Sophia Chen, Feng Li, Heber MacMahon, Maryellen L. Giger
2020	—	`conf`	Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. Digital Pathology Madeleine S. Durkee, Bradie M. Ferguson, Rebecca Abraham, Li Lan, Hui Li, Marcus R. Clark, Maryellen L. Giger
2020	—	`conf`	Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. Image Perception, Observer Performance, and Technology Assessment Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020	—	`conf`	Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation). Image Perception, Observer Performance, and Technology Assessment Maryellen L. Giger
2020	—	`conf`	Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI. Computer-Aided Diagnosis Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
2019	—	`conf`	Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Computer-Aided Diagnosis Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
2019	—	`conf`	Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. Computer-Aided Diagnosis Jordan D. Fuhrman, Jennie Crosby, Rowena Yip, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2019	—	`conf`	Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. Computer-Aided Diagnosis Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
2019	—	`conf`	Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer. Computer-Aided Diagnosis Rachel Anderson, Hui Li, Yu Ji, Peifang Liu, Maryellen L. Giger
2019	—	`conf`	Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Computer-Aided Diagnosis Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2019	—	`conf`	Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment. Computer-Aided Diagnosis Kayla R. Mendel, Hui Li, Nabihah Tayob, Randa El-Zein, Isabelle Bedrosian, Maryellen L. Giger
2019	J	`jnl`	Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. CoRR Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
2018	—	`conf`	Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs. Computer-Aided Diagnosis Hui Li, Kayla R. Mendel, John H. Lee, Li Lan, Maryellen L. Giger
2018	—	`conf`	Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. IWBI Hui Li, Deepa Sheth, Kayla R. Mendel, Li Lan, Maryellen L. Giger
2018	—	`conf`	Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018	—	`conf`	Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging Taylor A. Hinsdale, Bilal H. Malik, Shuna Cheng, Maryellen L. Giger, John Wright, Paras Patel, Javier A. Jo, Kristen C. Maitland
2018	—	`conf`	Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Computer-Aided Diagnosis Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
2018	—	`conf`	Recurrent neural networks for breast lesion classification based on DCE-MRIs. Computer-Aided Diagnosis Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger
2018	—	`conf`	Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Computer-Aided Diagnosis Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018	—	`conf`	Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks. Digital Pathology Adam R. Sibley, Maryellen L. Giger, Vladimir Liarski, Marcus R. Clark
2018	—	`conf`	Temporal assessment of radiomic features on clinical mammography in a high-risk population. Computer-Aided Diagnosis 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
2018	—	`conf`	Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. Computer-Aided Diagnosis Kayla R. Mendel, Hui Li, Deepa Sheth, Maryellen L. Giger
2018	—	`conf`	Variations in algorithm implementation among quantitative texture analysis software packages. Computer-Aided Diagnosis Joseph J. Foy, Prerana Mitta, Lauren R. Nowosatka, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania A. Al-Hallaq, Samuel G. Armato III
2017	—	`conf`	Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. Computer-Aided Diagnosis Benjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger
2017	—	`conf`	Deep learning and three-compartment breast imaging in breast cancer diagnosis. Computer-Aided Diagnosis 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
2017	—	`conf`	Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. Computer-Aided Diagnosis Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger
2016	—	`conf`	Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM 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
2016	—	`conf`	Computerized segmentation algorithm with personalized atlases of murine MRIs in a SV40 large T-antigen mouse mammary cancer model. Biomedical Applications in Molecular, Structural, and Functional Imaging Adam R. Sibley, Erica Markiewicz, Devkumar Mustafi, Xiaobing Fan, Suzanne D. Conzen, Gregory S. Karczmar, Maryellen L. Giger
2016	—	`conf`	Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. Digital Mammography / IWDM Jesús Ávila, Serghei Malkov, Maryellen L. Giger, Karen Drukker, John A. Shepherd
2016	—	`conf`	Identification, segmentation, and characterization of microcalcifications on mammography. Computer-Aided Diagnosis 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
2016	—	`conf`	Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations. Computer-Aided Diagnosis Kayla R. Mendel, Hui Li, Maryellen L. Giger
2014	—	`conf`	Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM Serghei Malkov, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen L. Giger, John Shepherd
2014	J	`jnl`	Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. J. Digit. Imaging Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
2014	—	`conf`	Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes. Digital Mammography / IWDM Maryellen L. Giger, Hui Li, Li Lan, Hiroyuki Abe, Gillian Newstead
2014	—	`conf`	Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Computer-Aided Diagnosis Karen Drukker, Maryellen L. Giger, Fred Duewer, Serghei Malkov, Christopher I. Flowers, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, John Shepherd
2013	—	`conf`	A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer. Computer-Aided Diagnosis Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger, Scott Eggener, Aytekin Oto
2013	—	`conf`	Automatic 3D lesion segmentation on breast ultrasound images. Computer-Aided Diagnosis Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett
2013	J	`jnl`	Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int. J. Comput. Assist. Radiol. Surg. Karen Drukker, Maryellen L. Giger, Lina Arbash Meinel, Adam Starkey, Jyothi Janardanan, Hiroyuki Abe
2012	—	`conf`	Breast image feature learning with adaptive deconvolutional networks. Computer-Aided Diagnosis Andrew R. Jamieson, Karen Drukker, Maryellen L. Giger
2012	J	`jnl`	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 Hui Li, Maryellen L. Giger, Li Lan, Jeremy Bancroft Brown, Aoife MacMahon, Mary Mussman, Olufunmilayo I. Olopade, Charlene A. Sennett
2012	—	`conf`	Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. Computer-Aided Diagnosis Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, Maryellen L. Giger
2012	—	`conf`	Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. Computer-Aided Diagnosis H. Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, K. Yang, Alexandra Edwards
2012	—	`conf`	Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. Digital Mammography / IWDM Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
2011	—	`conf`	Comparison of two-class and three-class Bayesian artificial neural networks in estimation of observations drawn from simulated bivariate normal distributions. Computer-Aided Diagnosis Neha Bhooshan, Darrin C. Edwards, Maryellen L. Giger
2011	—	`conf`	Exploring deep parametric embeddings for breast CADx. Computer-Aided Diagnosis Andrew R. Jamieson, Rabi Alam, Maryellen L. Giger
2010	J	`jnl`	A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker
2010	—	`conf`	Effect of variable gain on computerized texture analysis on digitalized mammograms. Computer-Aided Diagnosis Hui Li, Maryellen L. Giger, Li Lan, Yading Yuan, Neha Bhooshan, Olufunmilayo I. Olopade
2010	—	`conf`	Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Computer-Aided Diagnosis 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
2010	—	`conf`	Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI. Computer-Aided Diagnosis Jeremy Bancroft Brown, Maryellen L. Giger, Neha Bhooshan, Gillian Newstead, Sanaz Jansen
2010	—	`conf`	Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
2010	—	`conf`	Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. Computer-Aided Diagnosis Karen Drukker, Lorenzo L. Pesce, Maryellen L. Giger
2010	—	`conf`	Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk. Digital Mammography / IWDM Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Li Lan
2009	J	`jnl`	Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. IEEE Trans. Medical Imaging Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
2009	—	`conf`	Breast cancer classification with mammography and DCE-MRI. Computer-Aided Diagnosis Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
2009	—	`conf`	Computerized breast parenchymal analysis on DCE-MRI. Computer-Aided Diagnosis Hui Li, Maryellen L. Giger, Yading Yuan, Sanaz A. Jansen, Li Lan, Neha Bhooshan, Gillian M. Newstead
2009	—	`ed.`	Medical Imaging 2009: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009 Computer-Aided Diagnosis Nico Karssemeijer, Maryellen L. Giger
2009	—	`conf`	Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. Computer-Aided Diagnosis Karen Drukker, Nicholas Gruszauskas, Maryellen L. Giger
2009	—	`conf`	Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Computer-Aided Diagnosis Neha Bhooshan, Maryellen L. Giger, Darrin C. Edwards, Karen Drukker, Sanaz Jansen, Hui Li, Li Lan, Gillian Newstead
2008	—	`conf`	Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. Computer-Aided Diagnosis Zachary B. Rodgers, Martin King, Maryellen L. Giger, Michael W. Vannier, Dianna M. E. Bardo, Kenji Suzuki, Li Lan
2008	—	`conf`	Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla. Computer-Aided Diagnosis Karen Drukker, Maryellen L. Giger
2008	—	`conf`	Correlative feature analysis of FFDM images. Computer-Aided Diagnosis Yading Yuan, Maryellen L. Giger, Hui Li, Charlene A. Sennett
2008	—	`conf`	Hybrid linear classifier for jointly normal data: theory. Computer-Aided Diagnosis Weijie Chen, Charles E. Metz, Maryellen L. Giger
2008	—	`conf`	Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. Digital Mammography / IWDM Yading Yuan, Maryellen L. Giger, Hui Li, Li Lan, Charlene A. Sennett
2008	—	`ed.`	Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2008 Computer-Aided Diagnosis Maryellen L. Giger, Nico Karssemeijer
2008	—	`conf`	Performance of CADx on a Large Clinical Database of FFDM Images. Digital Mammography / IWDM Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Charlene A. Sennett
2008	J	`jnl`	Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment. J. Digit. Imaging Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Michael R. Chinander
2007	—	`conf`	An image database management system for conducting CAD research. Computer-Aided Diagnosis Nicholas Gruszauskas, Karen Drukker, Maryellen L. Giger
2007	—	`conf`	Automatic selection of region of interest for radiographic texture analysis. Computer-Aided Diagnosis Li Lan, Maryellen L. Giger, Joel R. Wilkie, Tamara J. Vokes, Weijie Chen, Hui Li, Tracy Lyons, Michael R. Chinander, Ann Pham
2007	—	`conf`	Computer-aided assessment of cardiac computed tomographic images. Computer-Aided Diagnosis Martin King, Maryellen L. Giger, Kenji Suzuki, Xiaochuan Pan
2007	—	`conf`	Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis. Computer-Aided Diagnosis Joel R. Wilkie, Maryellen L. Giger, Lorenzo L. Pesce, Charles A. Engh, Robert H. Hopper, John M. Martell
2007	—	`conf`	Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging. Computer-Aided Diagnosis Weijie Chen, Richard M. Zur, Maryellen L. Giger
2007	—	`ed.`	Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, CA, United States, 17-22 February 2007 Computer-Aided Diagnosis Maryellen L. Giger, Nico Karssemeijer
2007	—	`conf`	Progress in Breast Cadx. ISBI Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
2007	—	`conf`	The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx. Computer-Aided Diagnosis Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
2006	B	`conf`	A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts. Image Processing Weijie Chen, Maryellen L. Giger
2006	B	`conf`	A two-stage method for lesion segmentation on digital mammograms. Image Processing Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson
2006	—	`conf`	Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett
2006	B	`conf`	Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis. Image Processing Joel R. Wilkie, Maryellen L. Giger, Charles A. Engh, John M. Martell
2006	B	`conf`	Power spectral analysis of mammographic parenchymal patterns. Image Processing Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade
2004	—	`conf`	A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images. ISBI Weijie Chen, Maryellen L. Giger
2004	—	`conf`	Computerized assessment of tumor extent in contrast-enhanced MR images of the breast. CARS Weijie Chen, Maryellen L. Giger, Gillian Newstead, Ulrich Bick, Li Lan
2004	—	`conf`	Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. CARS Ingrid S. Reiser, Robert M. Nishikawa, Maryellen L. Giger, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu
2004	—	`conf`	Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. CARS Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Anna Margolis, Li Lan, Ioana Bonta
2004	—	`conf`	Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture. CARS Michael R. Chinander, Maryellen L. Giger, Vit Jaros, Tamara J. Vokes, Hui Li
2001	J	`jnl`	Computer-Aided Diagnosis in Medical Imaging. IEEE Trans. Medical Imaging Maryellen L. Giger, Nico Karssemeijer, Samuel G. Armato III
2001	J	`jnl`	Computerized Analysis of Multiple-Mammographic Views: Potential Usefulness of Special View Mammograms in Computer-Aided Diagnosis. IEEE Trans. Medical Imaging Zhimin Huo, Maryellen L. Giger, Carl J. Vyborny
2001	—	`conf`	Current status and future direction of computer-aided diagnosis in chest CT. CARS Maryellen L. Giger, Samuel G. Armato III
2001	J	`jnl`	Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Medical Imaging Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger, Charles E. Metz
2000	J	`jnl`	Computer-aided diagnosis of breast lesions in medical images. Comput. Sci. Eng. Maryellen L. Giger
1999	B	`conf`	Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images. CEC Maryellen L. Giger, Zhimin Huo
1999	J	`jnl`	Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. J. Digit. Imaging Samuel G. Armato III, Maryellen L. Giger, Heber MacMahon
1998	J	`jnl`	Automated Seeded Lesion Segmentation on Digital Mammograms. IEEE Trans. Medical Imaging Matthew A. Kupinski, Maryellen L. Giger
1998	—	`conf`	Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi
1998	—	`conf`	Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. Digital Mammography / IWDM 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
1998	—	`conf`	Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers. Digital Mammography / IWDM Zhimin Huo, Maryellen L. Giger, Funmi I. Olopade, Dulcy E. Wolverton, Shelly Cummings
1998	—	`conf`	Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. Digital Mammography / IWDM Robert M. Nishikawa, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi
1997	—	`conf`	Feature selection and classifiers for the computerized detection of mass lesions in digital mammography. ICNN Matthew A. Kupinski, Maryellen L. Giger
1995	J	`jnl`	Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. J. Digit. Imaging Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger
1995	B	`conf`	Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application]. ICIP Barry J. Sullivan, Rashid Ansari, Maryellen L. Giger, Heber MacMahon
1995	J	`jnl`	Erratum to: Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. J. Digit. Imaging Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger
1995	—	`conf`	Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. ICIP (3) Hiroyuki Yoshida, Wei Zhang, Weidong Cai, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger
1994	J	`jnl`	Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. J. Digit. Imaging Fang-Fang Yin, Maryellen L. Giger, Kunio Doi, Carl J. Vyborny, Robert A. Schmidt
1994	J	`jnl`	Development of a digital duplication system for portable chest radiographs. J. Digit. Imaging Kenneth R. Hoffmann, Kunio Doi, Heber MacMahon, Maryellen L. Giger, Robert M. Nishikawa, Xin-Wei Xu, Lian Yao, Akiko Kano, Michael Carlin
1994	J	`jnl`	Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. J. Digit. Imaging Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger, Charles E. Metz, Wei Zhang
1994	—	`conf`	Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images. ICIP (2) Barry J. Sullivan, Rashid Ansari, Maryellen L. Giger, Heber MacMahon
1993	J	`jnl`	Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making. J. Digit. Imaging Yuzheng C. Wu, Kunio Doi, Charles E. Metz, Naoki Asada, Maryellen L. Giger
1991	Misc	`conf`	Evaluating the EM algorithm for image processing using a human visual fidelity criterion. ICASSP James C. Brailean, Barry J. Sullivan, Chin-Tu Chen, Maryellen L. Giger