Karen Drukker

According to our database1, Karen Drukker authored at least 40 papers between 2002 and 2023.

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Bibliography

2023
Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

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.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Sequestration of imaging studies in MIDRC: a multi-institutional data commons.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI.
Proceedings of the Medical Imaging 2021: Image Perception, 2021

Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

Case-based repeatability of machine learning classification performance on breast MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Deep learning and three-compartment breast imaging in breast cancer diagnosis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Identification, segmentation, and characterization of microcalcifications on mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Calibration Procedure of Three Component Mammographic Breast Imaging.
Proceedings of the Breast Imaging, 2016

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging.
Proceedings of the Breast Imaging, 2016

2014
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.
Int. J. Comput. Assist. Radiol. Surg., 2013

Automatic 3D lesion segmentation on breast ultrasound images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Breast image feature learning with adaptive deconvolutional networks.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2010
A Novel Hybrid Linear/Nonlinear Classifier for Two-Class Classification: Theory, Algorithm, and Applications.
IEEE Trans. Medical Imaging, 2010

Repeatability and classifier bias in computer-aided diagnosis for breast ultrasound.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification.
Proceedings of the Digital Mammography, 2010

2009
Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound.
IEEE Trans. Medical Imaging, 2009

Principal component analysis, classifier complexity, and robustness of sonographic breast lesion classification.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Using three-class BANN classifier in the automated analysis of breast cancer lesions in DCE-MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A study of the effect of noise injection on the training of artificial neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Computerized self-assessment of automated lesion segmentation in breast ultrasound: implication for CADx applied to findings in the axilla.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2007
An image database management system for conducting CAD research.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

The effect of image quality on the appearance of lesions on breast ultrasound: implications for CADx.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Progress in Breast Cadx.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2005
Character recognition and image manipulation for the clinical translation of CAD for breast ultrasound.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
Computerized detection and 3-way classification of breast lesions on ultrasound images.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
Computerized detection and classification of lesions on breast ultrasound.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Computerized analysis of sonograms for the detection of breast lesions.
Proceedings of the Medical Imaging 2002: Image Processing, 2002


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