Karen Drukker

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 20

Top Topics

Machine Learning

Cancer Diagnosis

Top Venues

Medical Imaging: Computer-Aided Diagnosis

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

Digital Mammography / IWDM

Publications

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)
Karen Drukker, Hui Li, Maryellen L. Giger
Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Jesús Ávila, Serghei Malkov, Maryellen L. Giger, Karen Drukker, John A. Shepherd
Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. Digital Mammography / IWDM (2016)
Karen Drukker, Serghei Malkov, Jesús Ávila, Karla Kerlikowske, Bonnie N. Joe, Gregor Krings, Jennifer Creasman, Jennifer S. Drukteinis, Malesa M. Pereira, Leila Kazemi, John Shepherd, Maryellen L. Giger
Identification, segmentation, and characterization of microcalcifications on mammography. Medical Imaging: Computer-Aided Diagnosis (2016)
Serghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Maryellen L. Giger, Karen Drukker, Jennifer S. Drukteinis, Leila Kazemi, Malesa Pereira, John Shepherd
Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM (2016)
Karen Drukker, Maryellen L. Giger, Fred Duewer, Serghei Malkov, Christopher I. Flowers, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, John Shepherd
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Medical Imaging: Computer-Aided Diagnosis (2014)
Serghei Malkov, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen L. Giger, John A. Shepherd
Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM (2014)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett
Automatic 3D lesion segmentation on breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2013)
Karen Drukker, Maryellen L. Giger, Lina Arbash Meinel, Adam Starkey, Jyothi Janardanan, Hiroyuki Abe
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int. J. Comput. Assist. Radiol. Surg. 8 (6) (2013)
Andrew R. Jamieson, Karen Drukker, Maryellen L. Giger
Breast image feature learning with adaptive deconvolutional networks. Medical Imaging: Computer-Aided Diagnosis (2012)
Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging 29 (2) (2010)
Karen Drukker, Lorenzo L. Pesce, Maryellen L. Giger
Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2010)
Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM (2010)
Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. IEEE Trans. Medical Imaging 28 (1) (2009)
Neha Bhooshan, Maryellen L. Giger, Darrin C. Edwards, Karen Drukker, Sanaz Jansen, Hui Li, Li Lan, Gillian Newstead
Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2009)
Karen Drukker, Nicholas Gruszauskas, Maryellen L. Giger
Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. Medical Imaging: Computer-Aided Diagnosis (2009)
Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker
A study of the effect of noise injection on the training of artificial neural networks. IJCNN (2009)
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)
Nicholas Gruszauskas, Karen Drukker, Maryellen L. Giger
An image database management system for conducting CAD research. Medical Imaging: Computer-Aided Diagnosis (2007)
Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
Progress in Breast Cadx. ISBI (2007)
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)
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)
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)
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)
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)