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Terrence D Ruddy

Showing results (181-190 of 211) with videos related to

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Computers in Biology and Medicine|April 5, 2022
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registryRichard Rios, Robert J H Miller, Nipun Manral, et al.
JACC. Advances|January 6, 2025
The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events: A Multicenter StudyRobert Jh Miller, Bryan Bednarski, Yujie Cui, et al.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2024
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter studyJirong Yi, Anna M Michalowska, Aakash Shanbhag, et al.
JACC. Cardiovascular Imaging|July 18, 2021
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseYuka Otaki, Ananya Singh, Paul Kavanagh, et al.
Cardiovascular Research|July 14, 2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registryRichard Rios, Robert J H Miller, Lien Hsin Hu, et al.
The Lancet. Digital Health|May 17, 2025
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre studyJirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
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.
Circulation. Cardiovascular Imaging|September 10, 2016
Long-Term Follow-Up of Outcomes With F-18-Fluorodeoxyglucose Positron Emission Tomography Imaging-Assisted Management of Patients With Severe Left Ventricular Dysfunction Secondary to Coronary DiseaseBrian Mc Ardle, Tushar Shukla, Graham Nichol, 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.
Pageof 22

Showing results (181-190 of 211) with videos related to

Sort By:
Pageof 22
Computers in Biology and Medicine|April 5, 2022
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registryRichard Rios, Robert J H Miller, Nipun Manral, et al.
JACC. Advances|January 6, 2025
The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events: A Multicenter StudyRobert Jh Miller, Bryan Bednarski, Yujie Cui, et al.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2024
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter studyJirong Yi, Anna M Michalowska, Aakash Shanbhag, et al.
JACC. Cardiovascular Imaging|July 18, 2021
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseYuka Otaki, Ananya Singh, Paul Kavanagh, et al.
Cardiovascular Research|July 14, 2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registryRichard Rios, Robert J H Miller, Lien Hsin Hu, et al.
The Lancet. Digital Health|May 17, 2025
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre studyJirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
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.
Circulation. Cardiovascular Imaging|September 10, 2016
Long-Term Follow-Up of Outcomes With F-18-Fluorodeoxyglucose Positron Emission Tomography Imaging-Assisted Management of Patients With Severe Left Ventricular Dysfunction Secondary to Coronary DiseaseBrian Mc Ardle, Tushar Shukla, Graham Nichol, 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.
Pageof 22