Karen Drukker

Karen Drukker

University of Chicago

H-index: 39

North America-United States

About Karen Drukker

Karen Drukker, With an exceptional h-index of 39 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of medical imaging, radiomics, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

AI and machine learning in medical imaging: key points from development to translation

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth

AI in imaging and therapy: innovations, ethics, and impact–introductory editorial

Karen Drukker Information

University

Position

Research Associate Professor

Citations(all)

5761

Citations(since 2020)

3322

Cited By

3741

hIndex(all)

39

hIndex(since 2020)

24

i10Index(all)

61

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

Karen Drukker Skills & Research Interests

medical imaging

radiomics

deep learning

Top articles of Karen Drukker

Title

Journal

Author(s)

Publication Date

MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis

Journal of Medical Imaging

Karen Drukker

Berkman Sahiner

Tingting Hu

Grace Hyun Kim

Heather M Whitney

...

2024/3/1

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Medical Physics

Heather M Whitney

Karen Drukker

Michael Vieceli

Amy Van Dusen

Michelle de Oliveira

...

2024/3

AI and machine learning in medical imaging: key points from development to translation

Ravi K Samala

Karen Drukker

Amita Shukla-Dave

Heang-Ping Chan

Berkman Sahiner

...

2024/4/29

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Journal of the American College of Radiology

Daniel Vergara

Samuel G Armato III

Lubomir Hadjiiski

Karen Drukker

2024/2/1

Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data

Arden Frantzen

Heather M Whitney

Hui Li

Karen Drukker

Alexandra Edwards

...

2024/4/3

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

Usman Mahmood

Amita Shukla-Dave

Heang-Ping Chan

Karen Drukker

Ravi K Samala

...

2024/1/1

Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth

Karen Drukker

Milica Medved

Carla Harmath

Maryellen L Giger

Obianuju S Madueke-Laveaux

2024/4/3

AI in imaging and therapy: innovations, ethics, and impact–introductory editorial

The British Journal of Radiology

Issam El Naqa

Karen Drukker

2023/10/1

Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice

Claudia Mello-Thoms

Karen Drukker

Sian Taylor-Phillips

Khan Iftekharuddin

Marios Gavrielides

2023

Generalizations of the Jaccard index and Sørensen index for assessing agreement across multiple readers in object detection and instance segmentation in biomedical imaging

Journal of Medical Imaging

Madeleine S Durkee

Kyle Lleras

Karen Drukker

Junting Ai

Thao Cao

...

2023/11/1

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 …

Karen Drukker

Berkman Sahiner

Tingting Hu

Grace Hyun Kim

Heather M Whitney

...

2023/4/3

AI in medical imaging grand challenges: translation from competition to research benefit and patient care

Samuel G Armato

Karen Drukker

Lubomir Hadjiiski

2023/10/1

U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging

Journal of Medical Imaging

Lindsay Douglas

Roma Bhattacharjee

Jordan Fuhrman

Karen Drukker

Qiyuan Hu

...

2023/11/1

Longitudinal robustness of a thoracic radiographic AI model for COVID-19 severity prediction

Karen Drukker

Hui Li

Maryellen L Giger

2023/4/3

Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons

Journal of Medical Imaging

Natalie Baughan

Heather M Whitney

Karen Drukker

Berkman Sahiner

Tingting Hu

...

2023/11/1

Investigation of demographic implicit discrimination and disparate impact in chest radiography image-based AI for COVID-19 severity prediction

Heather M Whitney

Hui Li

Karen Drukker

Michael Reeve

Maryellen L Giger

2023/4/3

Predicting intensive care need for COVID-19 patients using deep learning on chest radiography

Journal of Medical Imaging

Hui Li

Karen Drukker

Qiyuan Hu

Heather M Whitney

Jordan D Fuhrman

...

2023/8

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Journal of Medical Imaging

Karen Drukker

Weijie Chen

Judy Gichoya

Nicholas Gruszauskas

Jayashree Kalpathy-Cramer

...

2023/11/1

A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis

JAMA Network Open

Nicholas Konz

Mateusz Buda

Hanxue Gu

Ashirbani Saha

Jichen Yang

...

2023/2/1

Grand Challenges

IEEE Pervasive Computing

Sarah Clinch

Stephen Intille

2022/7/1

See List of Professors in Karen Drukker University(University of Chicago)