Karen Drukker - RankMe

43 papers B 5Journal 4Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs. CoRR Heather M. Whitney, Hui Li, Karen Drukker, Elbert Huang, Maryellen L. Giger
2023	—	`conf`	Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Image Perception, Observer Performance, and Technology Assessment Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray
2023	—	`conf`	Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction. Image Perception, Observer Performance, and Technology Assessment Heather M. Whitney, Hui Li, Karen Drukker, Michael Reeve, Maryellen L. Giger
2023	—	`conf`	Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction. Image Perception, Observer Performance, and Technology Assessment Karen Drukker, Hui Li, Maryellen L. Giger
2022	—	`conf`	Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning. Image Perception, Observer Performance, and Technology Assessment Heather M. Whitney, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger
2022	—	`ed.`	Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022 Computer-Aided Diagnosis Karen Drukker, Khan M. Iftekharuddin
2022	—	`conf`	Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Image Perception, Observer Performance, and Technology Assessment Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger
2021	—	`conf`	Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions. Computer-Aided Diagnosis Paul Amstutz, Karen Drukker, Hui Li, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2021	—	`conf`	Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. Computer-Aided Diagnosis Roma Bhattacharjee, Lindsay Douglas, Karen Drukker, Qiyuan Hu, Jordan D. Fuhrman, Deepa Sheth, Maryellen L. Giger
2021	—	`conf`	Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI. Image Perception, Observer Performance, and Technology Assessment Michelle de Oliveira, Karen Drukker, Michael Vieceli, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2021	—	`ed.`	Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021 Computer-Aided Diagnosis Maciej A. Mazurowski, Karen Drukker
2021	—	`conf`	Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning. Computer-Aided Diagnosis Qiyuan Hu, Karen Drukker, Maryellen L. Giger
2020	—	`conf`	Case-based repeatability of machine learning classification performance on breast MRI. Computer-Aided Diagnosis Michael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2020	—	`conf`	Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Computer-Aided Diagnosis Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2020	—	`conf`	Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI. Image Perception, Observer Performance, and Technology Assessment Amy Van Dusen, Michael Vieceli, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney
2019	—	`conf`	Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Computer-Aided Diagnosis Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
2018	—	`conf`	Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2018	—	`conf`	Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Computer-Aided Diagnosis Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
2018	—	`conf`	Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Computer-Aided Diagnosis Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
2017	—	`conf`	Deep learning and three-compartment breast imaging in breast cancer diagnosis. Computer-Aided Diagnosis Karen Drukker, Benjamin Q. Huynh, Maryellen L. Giger, Serghei Malkov, Jesús I. Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, Leila Kazemi, Malesa M. Pereira, John Shepherd
2016	—	`conf`	Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM Serghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Maryellen L. Giger, Karen Drukker, Jennifer S. Drukteinis, Leila Kazemi, Malesa Pereira, John Shepherd
2016	—	`conf`	Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging. Digital Mammography / IWDM Jesús Ávila, Serghei Malkov, Maryellen L. Giger, Karen Drukker, John A. Shepherd
2016	—	`conf`	Identification, segmentation, and characterization of microcalcifications on mammography. Computer-Aided Diagnosis Karen Drukker, Serghei Malkov, Jesús Ávila, Karla Kerlikowske, Bonnie N. Joe, Gregor Krings, Jennifer Creasman, Jennifer S. Drukteinis, Malesa M. Pereira, Leila Kazemi, John Shepherd, Maryellen L. Giger
2014	—	`conf`	Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study. Digital Mammography / IWDM Serghei Malkov, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen L. Giger, John Shepherd
2014	—	`conf`	Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Computer-Aided Diagnosis Karen Drukker, Maryellen L. Giger, Fred Duewer, Serghei Malkov, Christopher I. Flowers, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, John Shepherd
2013	—	`conf`	Automatic 3D lesion segmentation on breast ultrasound images. Computer-Aided Diagnosis Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett
2013	J	`jnl`	Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int. J. Comput. Assist. Radiol. Surg. Karen Drukker, Maryellen L. Giger, Lina Arbash Meinel, Adam Starkey, Jyothi Janardanan, Hiroyuki Abe
2012	—	`conf`	Breast image feature learning with adaptive deconvolutional networks. Computer-Aided Diagnosis Andrew R. Jamieson, Karen Drukker, Maryellen L. Giger
2010	J	`jnl`	A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications. IEEE Trans. Medical Imaging Weijie Chen, Charles E. Metz, Maryellen L. Giger, Karen Drukker
2010	—	`conf`	Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification. Digital Mammography / IWDM Neha Bhooshan, Maryellen L. Giger, Karen Drukker, Yading Yuan, Hui Li, Stephanie McCann, Gillian Newstead, Charlene A. Sennett
2010	—	`conf`	Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound. Computer-Aided Diagnosis Karen Drukker, Lorenzo L. Pesce, Maryellen L. Giger
2009	B	`conf`	A study of the effect of noise injection on the training of artificial neural networks. IJCNN Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker
2009	J	`jnl`	Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound. IEEE Trans. Medical Imaging Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
2009	—	`conf`	Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification. Computer-Aided Diagnosis Karen Drukker, Nicholas Gruszauskas, Maryellen L. Giger
2009	—	`conf`	Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI. Computer-Aided Diagnosis Neha Bhooshan, Maryellen L. Giger, Darrin C. Edwards, Karen Drukker, Sanaz Jansen, Hui Li, Li Lan, Gillian Newstead
2008	—	`conf`	Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla. Computer-Aided Diagnosis Karen Drukker, Maryellen L. Giger
2007	—	`conf`	An image database management system for conducting CAD research. Computer-Aided Diagnosis Nicholas Gruszauskas, Karen Drukker, Maryellen L. Giger
2007	—	`conf`	Progress in Breast Cadx. ISBI Maryellen L. Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch
2007	—	`conf`	The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx. Computer-Aided Diagnosis Karen Drukker, Charlene A. Sennett, Maryellen L. Giger
2005	B	`conf`	Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound. Image Processing Nicholas Gruszauskas, Karen Drukker, Maryellen Lissak Giger
2004	B	`conf`	Computerized detection and 3-way classification of breast lesions on ultrasound images. Image Processing Karen Drukker, Darrin C. Edwards, Maryellen Lissak Giger, Robert M. Nishikawa, Charles E. Metz
2003	B	`conf`	Computerized detection and classification of lesions on breast ultrasound. Image Processing Karen Drukker, Maryellen Lissak Giger, Carl J. Vyborny, Robert A. Schmidt, Ellen B. Mendelson, Michael Stern
2002	B	`conf`	Computerized analysis of sonograms for the detection of breast lesions. Image Processing Karen Drukker, Maryellen Lissak Giger, Karla Horsch, Carl J. Vyborny