Natalie Baughan

7PUBLICATIONS
17CO-AUTHORS
Semi- and unsupervised learningPattern recognitionRecommender systemsArtificial life and complex adaptive systemsData models, storage and indexing
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Publications (7)

|Mar 10, 2026
Task-Based Sampling of Patient Data for Rigorous Machine Learning/AI Performance Assessment.

Natalie Baughan, Heather M Whitney, Karen Drukker

|Apr 25, 2025
MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs.

Samuel G Armato, Karen Drukker, Lubomir Hadjiiski

|Apr 05, 2024
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis.

Karen Drukker, Berkman Sahiner, Tingting Hu

|Feb 28, 2024
Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening.

Natalie Baughan, Lindsay Douglas, Maryellen L Giger

|Dec 11, 2023
Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons.

Natalie Baughan, Heather M Whitney, Karen Drukker

|Jul 20, 2023
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons.

Heather M Whitney, Natalie Baughan, Kyle J Myers

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