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European Eating Disorders Review : the Journal of the Eating Disorders Association
|
May 18, 2024
Suicidal thoughts and attempts in a transdiagnostic eating disorder sample: Do diagnostic severity criteria predict risk?
Kendall Schmidt, Elizabeth Fitzgerald, Pamela Keel
Suicide & Life-Threatening Behavior
|
October 7, 2023
Influence of nonsuicidal self-injury functions on suicide risk in individuals with eating disorders
Kendall Schmidt, April R Smith, Lindsay P Bodell
Frontiers in Neuroscience
|
July 6, 2019
Highly Flexible Precisely Braided Multielectrode Probes and Combinatorics for Future Neuroprostheses
Taegyo Kim, Kendall Schmidt, Christopher Deemie, et al.
The Journal of Nervous and Mental Disease
|
May 15, 2015
Risk factors associated with psychiatric readmission
Kim Lorine, Haig Goenjian, Soeun Kim, et al.
Journal of the American College of Radiology : JACR
|
May 1, 2026
ACR's Assess-AI: A Registry for Real-World Performance Monitoring of Clinical Imaging AI
Laura P Coombs, Laura Brink, Woojin Kim, et al.
JAMIA Open
|
November 16, 2022
ACR's Connect and AI-LAB technical framework
Laura Brink, Laura P Coombs, Deepak Kattil Veettil, et al.
Journal of the American College of Radiology : JACR
|
August 22, 2021
Comparison of Thyroid Risk Categorization Systems and Fine-Needle Aspiration Recommendations in a Multi-Institutional Thyroid Ultrasound Registry
Jenny K Hoang, William D Middleton, Jill E Langer, et al.
Medical Image Analysis
|
May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge
Kendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications
|
July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
European Eating Disorders Review : the Journal of the Eating Disorders Association
|
May 18, 2024
Suicidal thoughts and attempts in a transdiagnostic eating disorder sample: Do diagnostic severity criteria predict risk?
Kendall Schmidt, Elizabeth Fitzgerald, Pamela Keel
Suicide & Life-Threatening Behavior
|
October 7, 2023
Influence of nonsuicidal self-injury functions on suicide risk in individuals with eating disorders
Kendall Schmidt, April R Smith, Lindsay P Bodell
Frontiers in Neuroscience
|
July 6, 2019
Highly Flexible Precisely Braided Multielectrode Probes and Combinatorics for Future Neuroprostheses
Taegyo Kim, Kendall Schmidt, Christopher Deemie, et al.
The Journal of Nervous and Mental Disease
|
May 15, 2015
Risk factors associated with psychiatric readmission
Kim Lorine, Haig Goenjian, Soeun Kim, et al.
Journal of the American College of Radiology : JACR
|
May 1, 2026
ACR's Assess-AI: A Registry for Real-World Performance Monitoring of Clinical Imaging AI
Laura P Coombs, Laura Brink, Woojin Kim, et al.
JAMIA Open
|
November 16, 2022
ACR's Connect and AI-LAB technical framework
Laura Brink, Laura P Coombs, Deepak Kattil Veettil, et al.
Journal of the American College of Radiology : JACR
|
August 22, 2021
Comparison of Thyroid Risk Categorization Systems and Fine-Needle Aspiration Recommendations in a Multi-Institutional Thyroid Ultrasound Registry
Jenny K Hoang, William D Middleton, Jill E Langer, et al.
Medical Image Analysis
|
May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge
Kendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications
|
July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Page
of 1