The University of Chicago Header Logo

Search Result Details

This page shows the details of why an item matched the keywords from your search.
One or more keywords matched the following properties of Drukker, Karen
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 Artificial Intelligence
Academic Article Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index.
Academic Article Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography.
Academic Article Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.
Academic Article AI in medical physics: guidelines for publication.
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 Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.
Academic Article AI in medical imaging grand challenges: translation from competition to research benefit and patient care.
Academic Article Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
Academic Article Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice.
Academic Article Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
Academic Article Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
Academic Article MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis.
Search Criteria
  • Artificial Intelligence