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Maryellen L. 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, Alexandra Edwards, Maryellen L. Giger:
Influence of magnet strength on background parenchymal enhancement evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c133]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 - [c132]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 - [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, 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 - [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
, 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 - [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, 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 - [c126]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 - 2021
- [j20]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): 922-931 (2021) - [c125]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 - [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
, 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 - [c122]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 - [c121]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 - [c120]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 - [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, 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 - 2020
- [j19]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): 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, 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 - [c113]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 - [c112]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 - [c111]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 - [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
, 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: 1132013 - [c108]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: 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, 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: 113160I - [c105]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: 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, 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: 109502N - [c101]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: 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
, 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: 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, Alexandra Edwards, John Papaioannou, Maryellen L. Giger:
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
, 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: 105750A - [c91]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: 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, 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: 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
, 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: 1058110 - 2017
- [c86]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: 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, 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: 101341F - 2016
- [c83]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: 211-218 - [c82]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: 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, 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: 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
, 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): 237-247 (2014) - [c78]Serghei Malkov
, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen L. Giger
, John Shepherd
:
Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM 2014: 109-114 - [c77]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: 195-200 - [c76]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: 90351U - 2013
- [j17]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): 895-903 (2013) - [c75]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: 86701H - [c74]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: 867025 - 2012
- [j16]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): 591-598 (2012) - [c73]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: 697-704 - [c72]H. Kuo, Maryellen L. Giger
, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, K. Yang, Alexandra Edwards:
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
, 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: 83153F - [c70]Andrew R. Jamieson
, Karen Drukker, Maryellen L. Giger
:
Breast image feature learning with adaptive deconvolutional networks. Medical Imaging: Computer-Aided Diagnosis 2012: 831506 - 2011
- [c69]Andrew R. Jamieson
, Rabi Alam, Maryellen L. Giger
:
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
, 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): 428-441 (2010) - [c67]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: 9-14 - [c66]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: 267-271 - [c65]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: 76241I - [c64]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: 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
, Maryellen L. Giger, John M. Boone, Karen K. Lindfors, Alexandra 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: 76242N
2000 – 2009
- 2009
- [j14]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): 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
, 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: 72600N - [c59]Yading Yuan, Maryellen L. Giger
, Hui Li, Charlene A. Sennett:
Breast cancer classification with mammography and DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2009: 72600O - [c58]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: 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
, 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): 145-152 (2008) - [c57]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: 323-328 - [c56]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: 510-514 - [c55]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: 69150G - [c54]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: 69150M - [c53]Yading Yuan, Maryellen L. Giger
, Hui Li, Charlene A. Sennett:
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
, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch:
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, Charlene A. Sennett, Maryellen L. Giger
:
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
, Kenji Suzuki
, Xiaochuan Pan:
Computer-aided assessment of cardiac computed tomographic images. Medical Imaging: Computer-Aided Diagnosis 2007: 65141B - [c47]Joel R. Wilkie, Maryellen L. Giger
, Lorenzo L. Pesce
, Charles A. Engh, Robert H. Hopper, John M. Martell:
Imputation methods for temporal radiographic texture analysis in the detection of periprosthetic osteolysis. Medical Imaging: Computer-Aided Diagnosis 2007: 65141L - [c46]Nicholas Gruszauskas
, Karen Drukker, Maryellen L. Giger
:
An image database management system for conducting CAD research. Medical Imaging: Computer-Aided Diagnosis 2007: 651428 - [c45]Li Lan, Maryellen L. Giger
, Joel R. Wilkie, Tamara J. Vokes, Weijie Chen, Hui Li, Tracy Lyons, Michael R. Chinander, Ann Pham:
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
, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa
, Charlene A. Sennett:
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
, Kenji Suzuki
, Hui Li, Andrew R. Jamieson
:
A two-stage method for lesion segmentation on digital mammograms. Medical Imaging: Image Processing 2006: 61443W - [c41]Hui Li, Maryellen L. Giger
, Olufunmilayo I. Olopade:
Power spectral analysis of mammographic parenchymal patterns. Medical Imaging: Image Processing 2006: 61445J - [c40]Joel R. Wilkie, Maryellen L. Giger
, Charles A. Engh, John M. Martell:
Investigation of temporal radiographic texture analysis for the detection of periprosthetic osteolysis. Medical Imaging: Image Processing 2006: 61446Z - 2005
- [c39]Nicholas Gruszauskas
, Karen Drukker, Maryellen Lissak Giger
:
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
, Maryellen L. Giger:
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
, Ulrich Bick
:
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, Darrin C. Edwards, Maryellen Lissak Giger
, Robert M. Nishikawa
, Charles E. Metz:
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
, Robert M. Nishikawa
, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu:
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
, Karla Horsch, R. Edward Hendrick, Carl J. Vyborny, Li Lan:
Correlation of lesions from multiple images for CAD. Medical Imaging: Image Processing 2004 - 2003
- [c29]Karen Drukker, Maryellen Lissak Giger
, Carl J. Vyborny, Robert A. Schmidt, Ellen B. Mendelson, Michael Stern:
Computerized detection and classification of lesions on breast ultrasound. Medical Imaging: Image Processing 2003 - [c28]Maryellen Lissak Giger
, Li Lan, Zhimin Huo, Carl J. Vyborny, Hui Li:
Comparison of approaches for risk-modulated CAD. Medical Imaging: Image Processing 2003 - [c27]Hui Li, Maryellen Lissak Giger
, Zhimin Huo, Olufunmilayo I. Olopade, Michael R. Chinander, Li Lan, Ioana R. Bonta:
Computerized analysis of mammographic parenchymal patterns using fractal analysis. Medical Imaging: Image Processing 2003 - 2002
- [c26]Michael R. Chinander, Maryellen Lissak Giger
, Ruchi D. Shah, Tamara J. Vokes:
Investigation of using bone texture analysis on bone densitometry images. Medical Imaging: Image Processing 2002 - [c25]Karen Drukker, Maryellen Lissak Giger
, Karla Horsch, Carl J. Vyborny:
Computerized analysis of sonograms for the detection of breast lesions. Medical Imaging: Image Processing 2002 - [c24]Maryellen Lissak Giger
, Zhimin Huo, Carl J. Vyborny, Li Lan, Ioana R. Bonta, Karla Horsch, Robert M. Nishikawa
, Ingrid Rosenborough:
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
, Ioana R. Bonta, Zhimin Huo, Carl J. Vyborny, R. Edward Hendrick, Li Lan:
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
, Charles E. Metz:
Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Medical Imaging 20(9): 886-899 (2001) - [j11]Maryellen L. Giger
, Nico Karssemeijer, Samuel G. Armato III:
Computer-Aided Diagnosis in Medical Imaging. IEEE Trans. Medical Imaging 20(12): 1205-1208 (2001) - [j10]Zhimin Huo, Maryellen L. Giger
, Carl J. Vyborny:
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
, Kunio Doi, Ulrich Bick
, Heber MacMahon:
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
, Zhimin Huo, Karla Horsch, R. Edward Hendrick, Luz A. Venta, Carl J. Vyborny, Ioana R. Bonta, Li Lan:
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
, Zhimin Huo:
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
, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi:
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
, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi:
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
, Catherine J. Moran, Heber MacMahon, Kunio Doi:
Automated detection of pulmonary nodules in helical computed tomography images of the thorax. Medical Imaging: Image Processing 1998 - [c8]Kenneth G. A. Gilhuijs, Maryellen Lissak Giger
, Ulrich Bick
:
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
, Maryellen L. Giger
, Kunio Doi, Carl J. Vyborny, Robert A. Schmidt:
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
, Robert M. Nishikawa
, Xin-Wei Xu, Lian Yao, Akiko Kano, Michael Carlin:
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
, Charles E. Metz, Wei Zhang:
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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