Moazemi S - Search Results

1

NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management.

Moazemi S, Adams T, Ng HG, Kühnel L, Schneider J, Näher AF, Fluck J, Fröhlich H. Moazemi S, et al. Stud Health Technol Inform. 2024 Aug 30;317:21-29. doi: 10.3233/SHTI240834. Stud Health Technol Inform. 2024. PMID: 39234703

2

Synthetic data generation for a longitudinal cohort study - evaluation, method extension and reproduction of published data analysis results.

Kühnel L, Schneider J, Perrar I, Adams T, Moazemi S, Prasser F, Nöthlings U, Fröhlich H, Fluck J. Kühnel L, et al. Among authors: moazemi s. Sci Rep. 2024 Jun 22;14(1):14412. doi: 10.1038/s41598-024-62102-2. Sci Rep. 2024. PMID: 38909025 Free PMC article.

3

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review.

Moazemi S, Vahdati S, Li J, Kalkhoff S, Castano LJV, Dewitz B, Bibo R, Sabouniaghdam P, Tootooni MS, Bundschuh RA, Lichtenberg A, Aubin H, Schmid F. Moazemi S, et al. Front Med (Lausanne). 2023 Mar 31;10:1109411. doi: 10.3389/fmed.2023.1109411. eCollection 2023. Front Med (Lausanne). 2023. PMID: 37064042 Free PMC article.

4

Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks.

Kessler S, Schroeder D, Korlakov S, Hettlich V, Kalkhoff S, Moazemi S, Lichtenberg A, Schmid F, Aubin H. Kessler S, et al. Among authors: moazemi s. Digit Health. 2023 Jan 9;9:20552076221149529. doi: 10.1177/20552076221149529. eCollection 2023 Jan-Dec. Digit Health. 2023. PMID: 36644663 Free PMC article.

5

Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans.

Erle A, Moazemi S, Lütje S, Essler M, Schultz T, Bundschuh RA. Erle A, et al. Among authors: moazemi s. Tomography. 2021 Jul 29;7(3):301-312. doi: 10.3390/tomography7030027. Tomography. 2021. PMID: 34449727 Free PMC article.

6

Decision-support for treatment with ¹⁷⁷Lu-PSMA: machine learning predicts response with high accuracy based on PSMA-PET/CT and clinical parameters.

Moazemi S, Erle A, Khurshid Z, Lütje S, Muders M, Essler M, Schultz T, Bundschuh RA. Moazemi S, et al. Ann Transl Med. 2021 May;9(9):818. doi: 10.21037/atm-20-6446. Ann Transl Med. 2021. PMID: 34268431 Free PMC article.

7

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 ¹⁷⁷Lu-PSMA.

Moazemi S, Erle A, Lütje S, Gaertner FC, Essler M, Bundschuh RA. Moazemi S, et al. Diagnostics (Basel). 2021 Jan 28;11(2):186. doi: 10.3390/diagnostics11020186. Diagnostics (Basel). 2021. PMID: 33525456 Free PMC article.

8

Machine Learning Facilitates Hotspot Classification in PSMA-PET/CT with Nuclear Medicine Specialist Accuracy.

Moazemi S, Khurshid Z, Erle A, Lütje S, Essler M, Schultz T, Bundschuh RA. Moazemi S, et al. Diagnostics (Basel). 2020 Aug 22;10(9):622. doi: 10.3390/diagnostics10090622. Diagnostics (Basel). 2020. PMID: 32842599 Free PMC article.

9

Insomnia and limb pain in hemodialysis patients: what is the share of restless leg syndrome?

Malaki M, Mortazavi FS, Moazemi S, Shoaran M. Malaki M, et al. Among authors: moazemi s. Saudi J Kidney Dis Transpl. 2012 Jan;23(1):15-20. Saudi J Kidney Dis Transpl. 2012. PMID: 22237212

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