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Tomography (Ann Arbor, Mich.)
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August 27, 2021
Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans
Annette Erle, Sobhan Moazemi, Susanne Lütje, et al.
Diagnostics (Basel, Switzerland)
|
February 2, 2021
Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with <sup>177</sup>Lu-PSMA
Sobhan Moazemi, Annette Erle, Susanne Lütje, et al.
Diagnostics (Basel, Switzerland)
|
August 27, 2020
Machine Learning Facilitates Hotspot Classification in PSMA-PET/CT with Nuclear Medicine Specialist Accuracy
Sobhan Moazemi, Zain Khurshid, Annette Erle, et al.
Annals of Translational Medicine
|
July 16, 2021
Decision-support for treatment with <sup>177</sup>Lu-PSMA: machine learning predicts response with high accuracy based on PSMA-PET/CT and clinical parameters
Sobhan Moazemi, Annette Erle, Zain Khurshid, et al.
Scientific Reports
|
June 22, 2024
Synthetic data generation for a longitudinal cohort study - evaluation, method extension and reproduction of published data analysis results
Lisa Kühnel, Julian Schneider, Ines Perrar, et al.
Studies in Health Technology and Informatics
|
September 5, 2024
NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management
Sobhan Moazemi, Tim Adams, Hwei Geok Ng, et al.
Digital Health
|
January 16, 2023
Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks
Steven Kessler, Dennis Schroeder, Sergej Korlakov, et al.
Journal of Medical Internet Research
|
September 19, 2025
Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis
Holger Fröhlich, Anne Funck Hansen, Mika Hilvo, et al.
Frontiers in Medicine
|
April 17, 2023
Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
Sobhan Moazemi, Sahar Vahdati, Jason Li, et al.
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of 1
Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Tomography (Ann Arbor, Mich.)
|
August 27, 2021
Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans
Annette Erle, Sobhan Moazemi, Susanne Lütje, et al.
Diagnostics (Basel, Switzerland)
|
February 2, 2021
Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with <sup>177</sup>Lu-PSMA
Sobhan Moazemi, Annette Erle, Susanne Lütje, et al.
Diagnostics (Basel, Switzerland)
|
August 27, 2020
Machine Learning Facilitates Hotspot Classification in PSMA-PET/CT with Nuclear Medicine Specialist Accuracy
Sobhan Moazemi, Zain Khurshid, Annette Erle, et al.
Annals of Translational Medicine
|
July 16, 2021
Decision-support for treatment with <sup>177</sup>Lu-PSMA: machine learning predicts response with high accuracy based on PSMA-PET/CT and clinical parameters
Sobhan Moazemi, Annette Erle, Zain Khurshid, et al.
Scientific Reports
|
June 22, 2024
Synthetic data generation for a longitudinal cohort study - evaluation, method extension and reproduction of published data analysis results
Lisa Kühnel, Julian Schneider, Ines Perrar, et al.
Studies in Health Technology and Informatics
|
September 5, 2024
NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management
Sobhan Moazemi, Tim Adams, Hwei Geok Ng, et al.
Digital Health
|
January 16, 2023
Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks
Steven Kessler, Dennis Schroeder, Sergej Korlakov, et al.
Journal of Medical Internet Research
|
September 19, 2025
Reality Check: The Aspirations of the European Health Data Space Amidst Challenges in Decentralized Data Analysis
Holger Fröhlich, Anne Funck Hansen, Mika Hilvo, et al.
Frontiers in Medicine
|
April 17, 2023
Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
Sobhan Moazemi, Sahar Vahdati, Jason Li, et al.
Page
of 1