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Maryellen L. Giger
Maryellen Lissak Giger
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2020 – today
- 2023
- [c138]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [c137]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 - [c136]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 - [c135]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 - [c134]Lindsay Douglas, Trisha Mondal
Influence of magnet strength on background parenchymal enhancement evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c133]Karen Drukker
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c132]Karen Drukker
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 - [c131]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 - [c130]Heather M. Whitney, Hui Li, Karen Drukker
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 - [i3]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
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i2]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:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - 2022
- [c129]Natalie M. Baughan, Lindsay Douglas
Association between DCE MRI background parenchymal enhancement and mammographic texture features. Medical Imaging: Computer-Aided Diagnosis 2022 - [c128]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 - [c127]Natalie M. Baughan, Heather M. Whitney, Karen Drukker
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c126]Heather M. Whitney, Karen Drukker
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 - 2021
- [j20]Feng Li
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J. Digit. Imaging 34(4): 922-931 (2021) - [c125]Paul Amstutz, Karen Drukker
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. Medical Imaging: Computer-Aided Diagnosis 2021 - [c124]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 - [c123]Roma Bhattacharjee, Lindsay Douglas
Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2021 - [c122]Lindsay Douglas
Electronic removal of lesions for more robust BPE scoring on breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2021 - [c121]Jordan D. Fuhrman, Linnea Kremer, Yeqing Zhu
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis 2021 - [c120]Qiyuan Hu
Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning. Medical Imaging: Computer-Aided Diagnosis 2021 - [c119]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 - [c118]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 - [c117]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 - [c116]Michelle de Oliveira, Karen Drukker
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 - 2020
- [j19]Heather M. Whitney
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. Proc. IEEE 108(1): 163-177 (2020) - [c115]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 - [c114]Karen Drukker
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Medical Imaging: Computer-Aided Diagnosis 2020 - [c113]Jordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. Medical Imaging: Computer-Aided Diagnosis 2020 - [c112]Qiyuan Hu
Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [c111]Michael Vieceli, Amy Van Dusen, Karen Drukker
Case-based repeatability of machine learning classification performance on breast MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [c110]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 - [c109]Madeleine S. Durkee
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. Medical Imaging: Digital Pathology 2020: 1132013 - [c108]Madeleine S. Durkee
Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN. Medical Imaging: Digital Pathology 2020: 1132019 - [c107]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: 113160O - [c106]Amy Van Dusen, Michael Vieceli, Karen Drukker
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: 113160I - [c105]Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul
Effect of observer variability and training cases on U-Net segmentation performance. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160T - [c104]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: 1131602
2010 – 2019
- 2019
- [c103]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: 109501A - [c102]Karen Drukker
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: 109502N - [c101]Qiyuan Hu
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis 2019: 109504A - [c100]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: 1095006 - [c99]Jordan D. Fuhrman, Jennie Crosby
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. Medical Imaging: Computer-Aided Diagnosis 2019: 1095039 - [c98]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: 1095041 - [i1]Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger:
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. CoRR abs/1911.03022 (2019) - 2018
- [c97]Heather M. Whitney, Karen Drukker
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI 2018: 107180H - [c96]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: 1071806 - [c95]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: 105780X - [c94]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: 105750S - [c93]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: 105750T - [c92]Heather M. Whitney
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Medical Imaging: Computer-Aided Diagnosis 2018: 105750A - [c91]Joseph J. Foy, Prerana Mitta, Lauren R. Nowosatka, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania A. Al-Hallaq
Variations in algorithm implementation among quantitative texture analysis software packages. Medical Imaging: Computer-Aided Diagnosis 2018: 105751K - [c90]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: 105752M - [c89]Karen Drukker
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Medical Imaging: Computer-Aided Diagnosis 2018: 105753U - [c88]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: 105753Q - [c87]Adam R. Sibley, Maryellen L. Giger, Vladimir Liarski
Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks. Medical Imaging: Digital Pathology 2018: 1058110 - 2017
- [c86]Benjamin Q. Huynh
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: 101340U - [c85]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: 101341G - [c84]Karen Drukker
Deep learning and three-compartment breast imaging in breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis 2017: 101341F - 2016
- [c83]Serghei Malkov
Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM 2016: 211-218 - [c82]Jesús Ávila, Serghei Malkov
Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. Digital Mammography / IWDM 2016: 554-563 - [c81]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: 97882M - [c80]Karen Drukker
Identification, segmentation, and characterization of microcalcifications on mammography. Medical Imaging: Computer-Aided Diagnosis 2016: 97850S - [c79]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: 97851W - 2014
- [j18]Hsien-Chi Kuo, Maryellen L. Giger
Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. J. Digit. Imaging 27(2): 237-247 (2014) - [c78]Serghei Malkov
Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM 2014: 109-114 - [c77]Maryellen L. Giger
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes. Digital Mammography / IWDM 2014: 195-200 - [c76]Karen Drukker
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Medical Imaging: Computer-Aided Diagnosis 2014: 90351U - 2013
- [j17]Karen Drukker
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int. J. Comput. Assist. Radiol. Surg. 8(6): 895-903 (2013) - [c75]Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger
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: 86701H - [c74]Hsien-Chi Kuo, Maryellen L. Giger
Automatic 3D lesion segmentation on breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2013: 867025 - 2012
- [j16]Hui Li
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): 591-598 (2012) - [c73]Hsien-Chi Kuo, Maryellen L. Giger
Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. Digital Mammography / IWDM 2012: 697-704 - [c72]H. Kuo, Maryellen L. Giger
Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. Medical Imaging: Computer-Aided Diagnosis 2012: 83152C - [c71]Yahui Peng, Yulei Jiang, Vladimir M. Liarski
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. Medical Imaging: Computer-Aided Diagnosis 2012: 83153F - [c70]Andrew R. Jamieson
Breast image feature learning with adaptive deconvolutional networks. Medical Imaging: Computer-Aided Diagnosis 2012: 831506 - 2011
- [c69]Andrew R. Jamieson
Exploring deep parametric embeddings for breast CADx. Medical Imaging: Computer-Aided Diagnosis 2011: 79630Y - [c68]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: 796325 - 2010
- [j15]Weijie Chen
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging 29(2): 428-441 (2010) - [c67]Neha Bhooshan, Maryellen L. Giger
Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM 2010: 9-14 - [c66]Hui Li, Maryellen L. Giger
Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk. Digital Mammography / IWDM 2010: 267-271 - [c65]Jeremy Bancroft Brown
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: 76241I - [c64]Karen Drukker
Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. Medical Imaging: Computer-Aided Diagnosis 2010: 76242B - [c63]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: 76242C - [c62]Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Medical Imaging: Computer-Aided Diagnosis 2010: 76242N
2000 – 2009
- 2009
- [j14]Karen Drukker
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. IEEE Trans. Medical Imaging 28(1): 122-128 (2009) - [c61]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: 72600J - [c60]Hui Li, Maryellen L. Giger
Computerized breast parenchymal analysis on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2009: 72600N - [c59]Yading Yuan, Maryellen L. Giger
Breast cancer classification with mammography and DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2009: 72600O - [c58]Karen Drukker
Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. Medical Imaging: Computer-Aided Diagnosis 2009: 72602B - [e3]Nico Karssemeijer, Maryellen L. Giger:
Medical Imaging 2009: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009. SPIE Proceedings 7260, SPIE 2009, ISBN 9780819475114 [contents] - 2008
- [j13]Hui Li
Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment. J. Digit. Imaging 21(2): 145-152 (2008) - [c57]Yading Yuan, Maryellen L. Giger
Identifying Corresponding Lesions from CC and MLO Views Via Correlative Feature Analysis. Digital Mammography / IWDM 2008: 323-328 - [c56]Hui Li, Maryellen L. Giger
Performance of CADx on a Large Clinical Database of FFDM Images. Digital Mammography / IWDM 2008: 510-514 - [c55]Karen Drukker
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: 69150G - [c54]Zachary B. Rodgers, Martin King, Maryellen L. Giger
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. Medical Imaging: Computer-Aided Diagnosis 2008: 69150M - [c53]Yading Yuan, Maryellen L. Giger
Correlative feature analysis of FFDM images. Medical Imaging: Computer-Aided Diagnosis 2008: 69151L - [c52]Weijie Chen, Charles E. Metz, Maryellen L. Giger
Hybrid linear classifier for jointly normal data: theory. Medical Imaging: Computer-Aided Diagnosis 2008: 691504 - [e2]Maryellen L. Giger, Nico Karssemeijer:
Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2008. SPIE Proceedings 6915, SPIE 2008, ISBN 9780819470997 [contents] - 2007
- [c51]Maryellen L. Giger
Progress in Breast Cadx. ISBI 2007: 508-511 - [c50]Weijie Chen, Richard M. Zur, Maryellen L. Giger
Joint feature selection and classification using a Bayesian neural network with automatic relevance determination priors: potential use in CAD of medical imaging. Medical Imaging: Computer-Aided Diagnosis 2007: 65141G - [c49]Karen Drukker
The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx. Medical Imaging: Computer-Aided Diagnosis 2007: 65141E - [c48]Martin King, Maryellen L. Giger
Computer-aided assessment of cardiac computed tomographic images. Medical Imaging: Computer-Aided Diagnosis 2007: 65141B - [c47]Joel R. Wilkie, Maryellen L. Giger
Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis. Medical Imaging: Computer-Aided Diagnosis 2007: 65141L - [c46]Nicholas Gruszauskas
An image database management system for conducting CAD research. Medical Imaging: Computer-Aided Diagnosis 2007: 651428 - [c45]Li Lan, Maryellen L. Giger
Automatic selection of region of interest for radiographic texture analysis. Medical Imaging: Computer-Aided Diagnosis 2007: 651436 - [e1]Maryellen L. Giger, Nico Karssemeijer:
Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, CA, United States, 17-22 February 2007. SPIE Proceedings 6514, SPIE 2007, ISBN 9780819466327 [contents] - 2006
- [c44]Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM 2006: 569-575 - [c43]Weijie Chen, Maryellen L. Giger
A novel strategy for segmentation of magnetic resonance (MR) images corrupted by intensity inhomogeneity artifacts. Medical Imaging: Image Processing 2006: 61441C - [c42]Yading Yuan, Maryellen L. Giger
A two-stage method for lesion segmentation on digital mammograms. Medical Imaging: Image Processing 2006: 61443W - [c41]Hui Li, Maryellen L. Giger
Power spectral analysis of mammographic parenchymal patterns. Medical Imaging: Image Processing 2006: 61445J - [c40]Joel R. Wilkie, Maryellen L. Giger
Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis. Medical Imaging: Image Processing 2006: 61446Z - 2005
- [c39]Nicholas Gruszauskas
Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound. Medical Imaging: Image Processing 2005 - 2004
- [c38]Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade, Anna Margolis, Li Lan, Ioana Bonta:
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. CARS 2004: 878-881 - [c37]Ingrid S. Reiser, Robert M. Nishikawa, Maryellen L. Giger, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu:
Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. CARS 2004: 1352 - [c36]Weijie Chen, Maryellen L. Giger, Gillian Newstead, Ulrich Bick, Li Lan:
Computerized assessment of tumor extent in contrast-enhanced MR images of the breast. CARS 2004: 1353 - [c35]Michael R. Chinander, Maryellen L. Giger, Vit Jaros, Tamara J. Vokes, Hui Li:
Texture analysis of peripheral bone densitometry images to aid the assessment of risk for fracture. CARS 2004: 1362 - [c34]Weijie Chen
A Fuzzy C-Means (FCM) Based Algorithm for Intensity Inhomogeneity Correction and Segmentation of MR Images. ISBI 2004: 1307-1310 - [c33]Weijie Chen, Maryellen Lissak Giger
Automated identification of temporal pattern with high initial enhancement in dynamic MR lesions using fuzzy c-means algorithm. Medical Imaging: Image Processing 2004 - [c32]Karen Drukker
Computerized detection and 3-way classification of breast lesions on ultrasound images. Medical Imaging: Image Processing 2004 - [c31]Ingrid S. Reiser, Emil Y. Sidky, Maryellen Lissak Giger
A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. Medical Imaging: Image Processing 2004 - [c30]Hui-Hua Wen, Maryellen Lissak Giger
Correlation of lesions from multiple images for CAD. Medical Imaging: Image Processing 2004 - 2003
- [c29]Karen Drukker
Computerized detection and classification of lesions on breast ultrasound. Medical Imaging: Image Processing 2003 - [c28]Maryellen Lissak Giger
Comparison of approaches for risk-modulated CAD. Medical Imaging: Image Processing 2003 - [c27]Hui Li, Maryellen Lissak Giger
Computerized analysis of mammographic parenchymal patterns using fractal analysis. Medical Imaging: Image Processing 2003 - 2002
- [c26]Michael R. Chinander, Maryellen Lissak Giger
Investigation of using bone texture analysis on bone densitometry images. Medical Imaging: Image Processing 2002 - [c25]Karen Drukker
Computerized analysis of sonograms for the detection of breast lesions. Medical Imaging: Image Processing 2002 - [c24]Maryellen Lissak Giger
Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids. Medical Imaging: Image Processing 2002 - [c23]Karla Horsch, Alfredo Fredy Ceballos, Maryellen Lissak Giger
Optimizing feature selection across a multimodality database in computerized classification of breast lesions. Medical Imaging: Image Processing 2002 - [c22]Zhimin Huo, Maryellen Lissak Giger
Effect of case mix on feature selection in the computerized classification of mammographic lesions. Medical Imaging: Image Processing 2002 - 2001
- [j12]Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger
Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Medical Imaging 20(9): 886-899 (2001) - [j11]Maryellen L. Giger
Computer-Aided Diagnosis in Medical Imaging. IEEE Trans. Medical Imaging 20(12): 1205-1208 (2001) - [j10]Zhimin Huo, Maryellen L. Giger
Computerized Analysis of Multiple-Mammographic Views: Potential Usefulness of Special View Mammograms in Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 20(12): 1285-1292 (2001) - [c21]Maryellen L. Giger, Samuel G. Armato III:
Current status and future direction of computer-aided diagnosis in chest CT. CARS 2001: 621-630 - [c20]Samuel G. Armato, Maryellen Lissak Giger
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans. Medical Imaging: Image Processing 2001 - [c19]Maryellen Lissak Giger
Computer-aided diagnosis of lesions on multimodality images of the breast. Medical Imaging: Image Processing 2001 - 2000
- [j9]Maryellen L. Giger:
Computer-aided diagnosis of breast lesions in medical images. Comput. Sci. Eng. 2(5): 39-45 (2000) - [c18]Samuel G. Armato, Maryellen Lissak Giger, Heber MacMahon:
Analysis of a three-dimensional lung nodule detection method for thoracic CT scans. Medical Imaging: Image Processing 2000 - [c17]Zhimin Huo, Maryellen Lissak Giger:
Incorporation of clinical data into a computerized method for the assessment of mammographic breast lesions. Medical Imaging: Image Processing 2000 - [c16]Matthew A. Kupinski, Mark A. Anastasio, Maryellen Lissak Giger:
Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j8]Samuel G. Armato III, Maryellen L. Giger, Heber MacMahon:
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. J. Digit. Imaging 12(1): 34-42 (1999) - [c15]Maryellen L. Giger
Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images. CEC 1999: 1768-1769 - [c14]Samuel G. Armato, Maryellen Lissak Giger, James T. Blackburn, Kunio Doi, Heber MacMahon:
Three-dimensional approach to lung nodule detection in helical CT. Medical Imaging: Image Processing 1999 - 1998
- [j7]Matthew A. Kupinski, Maryellen L. Giger:
Automated Seeded Lesion Segmentation on Digital Mammograms. IEEE Trans. Medical Imaging 17(4): 510-517 (1998) - [c13]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:
Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. Digital Mammography / IWDM 1998: 143-147 - [c12]Yulei Jiang, Robert M. Nishikawa
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM 1998: 215-220 - [c11]Robert M. Nishikawa
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. Digital Mammography / IWDM 1998: 401-406 - [c10]Zhimin Huo, Maryellen L. Giger, Funmi I. Olopade, Dulcy E. Wolverton, Shelly Cummings:
Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers. Digital Mammography / IWDM 1998: 419-422 - [c9]Samuel G. Armato, Maryellen Lissak Giger
Automated detection of pulmonary nodules in helical computed tomography images of the thorax. Medical Imaging: Image Processing 1998 - [c8]Kenneth G. A. Gilhuijs
Automated feature extraction and classification of breast lesions in magnetic resonance images. Medical Imaging: Image Processing 1998 - 1997
- [c7]Matthew A. Kupinski, Maryellen L. Giger:
Feature selection and classifiers for the computerized detection of mass lesions in digital mammography. ICNN 1997: 2460-2463 - 1995
- [j6]Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger
Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. J. Digit. Imaging 8(2): 88-94 (1995) - [j5]Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger
Erratum to: Detection of lung nodules in digital chest radiographs using artificial neural networks: A pilot study. J. Digit. Imaging 8(3): 149 (1995) - [c6]Barry J. Sullivan, Rashid Ansari, Maryellen L. Giger, Heber MacMahon:
Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application]. ICIP 1995: 13-16 - [c5]Hiroyuki Yoshida, Wei Zhang, Weidong Cai, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger:
Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. ICIP (3) 1995: 152-155 - 1994
- [j4]Fang-Fang Yin
Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. J. Digit. Imaging 7(1): 18-26 (1994) - [j3]Kenneth R. Hoffmann, Kunio Doi, Heber MacMahon, Maryellen L. Giger
Development of a digital duplication system for portable chest radiographs. J. Digit. Imaging 7(3): 146-153 (1994) - [j2]Yuzheng C. Wu, Kunio Doi, Maryellen L. Giger
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 7(4): 196-207 (1994) - [c4]Barry J. Sullivan, Rashid Ansari, Maryellen L. Giger, Heber MacMahon:
Relative Effects of Resolution and Quantization on the Quality of Compressed Medical Images. ICIP (2) 1994: 987-991 - 1993
- [j1]Yuzheng C. Wu, Kunio Doi, Charles E. Metz, Naoki Asada, Maryellen L. Giger
Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making. J. Digit. Imaging 6(2): 117-125 (1993) - 1991
- [c3]James C. Brailean, Barry J. Sullivan, Chin-Tu Chen, Maryellen L. Giger:
Evaluating the EM algorithm for image processing using a human visual fidelity criterion. ICASSP 1991: 2957-2960 - 1990
- [c2]Naoki Asada, Kunio Doi, Heber MacMahon, Steven M. Montner, Maryellen Lissak Giger, Chihiro Abe, Chris Yuzheng Wu:
Neural network approach for differential diagnosis of interstitial lung diseases. Medical Imaging: Image Processing 1990 - [c1]Maryellen Lissak Giger, Fang-Fang Yin, Kunio Doi, Charles E. Metz, Robert A. Schmidt, Carl J. Vyborny:
Investigation of methods for the computerized detection and analysis of mammographic masses. Medical Imaging: Image Processing 1990
Coauthor Index
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