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Mathews B Fish

Showing results (31-40 of 42) with videos related to

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NPJ Digital Medicine|May 1, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imagingKonrad Pieszko, Aakash D Shanbhag, Ananya Singh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
JACC. Cardiovascular Imaging|August 24, 2020
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified IschemiaPeyman N Azadani, Robert J H Miller, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 16, 2019
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registryLien-Hsin Hu, Tali Sharir, Robert J H Miller, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 17, 2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imagingMichelle C Williams, Bryan P Bednarski, Konrad Pieszko, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 6, 2021
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECTEvann Eisenberg, Robert J H Miller, Lien-Hsin Hu, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 4, 2022
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT imagesRobert J H Miller, Ananya Singh, Yuka Otaki, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 3, 2024
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)Robert J H Miller, Mark Lemley, Aakash Shanbhag, et al.
Ebiomedicine|January 3, 2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyRobert J H Miller, Bryan P Bednarski, Konrad Pieszko, et al.
Circulation. Cardiovascular Imaging|July 20, 2021
Prognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT RegistryKeiichiro Kuronuma, Robert J H Miller, Yuka Otaki, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
NPJ Digital Medicine|May 1, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imagingKonrad Pieszko, Aakash D Shanbhag, Ananya Singh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
JACC. Cardiovascular Imaging|August 24, 2020
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified IschemiaPeyman N Azadani, Robert J H Miller, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 16, 2019
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registryLien-Hsin Hu, Tali Sharir, Robert J H Miller, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 17, 2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imagingMichelle C Williams, Bryan P Bednarski, Konrad Pieszko, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 6, 2021
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECTEvann Eisenberg, Robert J H Miller, Lien-Hsin Hu, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 4, 2022
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT imagesRobert J H Miller, Ananya Singh, Yuka Otaki, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 3, 2024
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)Robert J H Miller, Mark Lemley, Aakash Shanbhag, et al.
Ebiomedicine|January 3, 2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyRobert J H Miller, Bryan P Bednarski, Konrad Pieszko, et al.
Circulation. Cardiovascular Imaging|July 20, 2021
Prognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT RegistryKeiichiro Kuronuma, Robert J H Miller, Yuka Otaki, et al.
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