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Drukker, Karen
One or more keywords matched the following properties of Drukker, Karen
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overview Dr. Drukker has been involved in research at the University of Chicago for 20+ years. Her interests include machine learning applications in the detection, diagnosis, and prognosis of breast cancer, and more recently, of COVID-19 patients. Rigorous training/testing protocols, generalizability, and performance evaluation of machine learning algorithms have been a main focus. Dr. Drukker published over 50 peer-reviewed papers on artificial intelligence (AI) in medical imaging, mostly related to breast image analysis, with a focus on multimodality detection, diagnosis, and prognosis of breast cancer and on performance evaluation methods. She served as Associate Editor or as Editorial Board Member for many professional peer-reviewed journals, e.g., Medical Physics, Journal of Medical Imaging, and the British Journal of Radiology, and as chair or member of scientific committees for many medical imaging conferences, e.g., the Society for Optics and Photonics Medical Imaging Conference and the American Association of Physicists in Medicine annual meetings. Recently, she was awarded Fellow of the American Association of Physicists in Medicine for her contributions to medical physics. She also co-authored several book chapters and is co-inventor on 2 patents. Dr. Drukker has been actively involved in research at, as well as in organizational aspects of, the Medical Imaging and Data Resource Center (MIDRC, hosted at the University of Chicago) since its launch in August 2020.
One or more keywords matched the following items that are connected to Drukker, Karen
Item TypeName
Concept Computer Simulation
Concept Computers
Concept Diagnosis, Computer-Assisted
Concept Image Interpretation, Computer-Assisted
Concept Image Processing, Computer-Assisted
Concept Radiographic Image Interpretation, Computer-Assisted
Concept Radiotherapy Planning, Computer-Assisted
Concept Diagnosis, Differential
Concept User-Computer Interface
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Academic Article Computerized lesion detection on breast ultrasound.
Academic Article Computerized detection and classification of cancer on breast ultrasound.
Academic Article Robustness of computerized lesion detection and classification scheme across different breast US platforms.
Academic Article Multimodality computerized diagnosis of breast lesions using mammography and sonography.
Academic Article Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index.
Academic Article Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.
Academic Article Noise injection for training artificial neural networks: a comparison with weight decay and early stopping.
Academic Article Enhancement of breast CADx with unlabeled data.
Academic Article Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography.
Academic Article Semiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal model.
Academic Article Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.
Academic Article A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications.
Academic Article Automated method for improving system performance of computer-aided diagnosis in breast ultrasound.
Academic Article Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.
Academic Article Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.
Academic Article Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.
Academic Article Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.
Academic Article Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.
Academic Article Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.
Academic Article Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.
Academic Article MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Academic Article Repeatability in computer-aided diagnosis: Application to breast cancer diagnosis on sonography.
Academic Article Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.
Academic Article Deep learning in medical imaging and radiation therapy.
Academic Article Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.
Academic Article Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.
Academic Article Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19.
Academic Article AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Academic Article A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
Academic Article Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
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  • computer
  • aided
  • diagnosis