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ORCIDMaryellen L. Giger
- > Home > Persons > Maryellen L. Giger
Publications
- 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 - [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 - 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
- [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 - [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 - [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 - [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
- [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 - [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 - [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 - 2019
- [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 - 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 - [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 - [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 - 2017
- [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 - [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 - 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 - [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) - [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
- [c70]Andrew R. Jamieson, Karen Drukker, Maryellen L. Giger:
Breast image feature learning with adaptive deconvolutional networks. Medical Imaging: Computer-Aided Diagnosis 2012: 831506 - 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 - [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 - 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 - [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 - 2008
- [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 - 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 - [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 - [c46]Nicholas Gruszauskas, Karen Drukker, Maryellen L. Giger:
An image database management system for conducting CAD research. Medical Imaging: Computer-Aided Diagnosis 2007: 651428 - 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
- [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 - 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 - 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
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