Publications by authors named "Heather Whitney"

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Sureness of classification of breast cancers as pure ductal carcinoma or with invasive components on dynamic contrast-enhanced magnetic resonance imaging: application of likelihood assurance metrics for computer-aided diagnosis.
Heather M Whitney, Karen Drukker, Alexandra Edwards, Maryellen L Giger

J Med Imaging (Bellingham)· November 2025

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Introduction to the JMI Special Issue on Advances in Breast Imaging.
Maryellen L Giger, Susan Astley Theodossiadis, Karen Drukker, Hui Li, Andrew D A Maidment, Heather M Whitney

J Med Imaging (Bellingham)· November 2025

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Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challenge.
Karen Drukker, Samuel G Armato, Lubomir Hadjiiski, Judy Gichoya, Nicholas Gruszauskas, Heather M Whitney

J Med Imaging (Bellingham)· September 2025

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Multimodal data curation via interoperability: use cases with the Medical Imaging and Data Resource Center.
Weijie Chen, Heather M Whitney, Seyed Kahaki, Christopher Meyer, Hui Li

Sci Data· August 2025

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Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case.
Heather M Whitney, Rachel Baccile, Hui Li, Karen Drukker, Christopher Meyer

J Imaging Inform Med· August 2025

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Hybrid artificial intelligence echogenic components-based diagnosis of adnexal masses on ultrasound.
Roni Yoeli-Bik, Heather M Whitney, Hui Li, Agnes Bilecz, Jacques S Abramowicz

Med Phys· July 2025

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AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs.
Heather M Whitney, Hui Li, Karen Drukker, Elbert Huang, Maryellen L Giger

ArXiv· April 2025

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Hybrid artificial intelligence echogenic components-based diagnosis of adnexal masses on ultrasound.
Roni Yoeli-Bik, Heather M Whitney, Hui Li, Agnes Bilecz, Jacques S Abramowicz

ArXiv· April 2025

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MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs.
Samuel G Armato, Karen Drukker, Lubomir Hadjiiski, Carol C Wu, Jayashree Kalpathy-Cramer, Heather M Whitney

J Med Imaging (Bellingham)· March 2025

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Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs.
Mena Shenouda, Heather M Whitney, Maryellen L Giger, Samuel G Armato

J Med Imaging (Bellingham)· November 2024

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Variations of floral temperature in changing weather conditions.
Michael J M Harrap, Natasha de Vere, Natalie Hempel de Ibarra, Heather M Whitney, Sean A Rands

Ecol Evol· July 2024

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AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging.
Heather M Whitney, Roni Yoeli-Bik, Jacques S Abramowicz, Li Lan, Hui Li

J Med Imaging (Bellingham)· July 2024

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Living jewels: iterative evolution of iridescent blue leaves from helicoidal cell walls.
Clive R Lundquist, Paula J Rudall, Rahayu S Sukri, María Conejero, Alyssa Smith, Heather M Whitney

Ann Bot· June 2024

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The cuticular wax composition and crystal coverage of leaves and petals differ in a consistent manner between plant species.
Sverre Aarseth Tunstad, Ian D Bull, Sean A Rands, Heather M Whitney

Open Biol· May 2024

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Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
Heather M Whitney, Karen Drukker, Michael Vieceli, Amy Van Dusen, Michelle de Oliveira

Med Phys· March 2024

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MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis.
Karen Drukker, Berkman Sahiner, Tingting Hu, Grace Hyun Kim, Heather M Whitney

J Med Imaging (Bellingham)· March 2024

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Self-assembled, disordered structural color from fruit wax bloom.
Rox Middleton, Sverre Aarseth Tunstad, Andre Knapp, Sandra Winters, Susan McCallum, Heather Whitney

Sci Adv· February 2024

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Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.
Karen Drukker, Weijie Chen, Judy Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Heather Whitney

J Med Imaging (Bellingham)· November 2023

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Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons.
Heather M Whitney, Natalie Baughan, Kyle J Myers, Karen Drukker, Judy Gichoya

J Med Imaging (Bellingham)· November 2023

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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, Berkman Sahiner, Tingting Hu

J Med Imaging (Bellingham)· November 2023

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Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging.
Judy W Gichoya, Rui C Sá, Ronald M Summers, Heather Whitney

J Med Imaging (Bellingham)· November 2023

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Multimodal floral recognition by bumblebees.
Sean A Rands, Heather M Whitney, Natalie Hempel de Ibarra

Curr Opin Insect Sci· October 2023

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Predicting intensive care need for COVID-19 patients using deep learning on chest radiography.
Hui Li, Karen Drukker, Qiyuan Hu, Heather M Whitney, Jordan D Fuhrman

J Med Imaging (Bellingham)· July 2023

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Interactions between color and gloss in iridescent camouflage.
Dylan H N Thomas, Karin Kjernsmo, Nicholas E Scott-Samuel, Heather M Whitney, Innes C Cuthill

Behav Ecol· June 2023

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Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.
Yu Ji, Heather M Whitney, Hui Li, Peifang Liu, Maryellen L Giger

Radiology· April 2023

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