| Machine learning facilitates hotspot classification in PSMA-PET/CT with nuclear medicine specialist accuracy S Moazemi, Z Khurshid, A Erle, S Lütje, M Essler, T Schultz, ... Diagnostics 10 (9), 622, 2020 | 34 | 2020 |
| 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 … S Moazemi, A Erle, S Lütje, FC Gaertner, M Essler, RA Bundschuh Diagnostics 11 (2), 186, 2021 | 33 | 2021 |
| Decision-support for treatment with 177Lu-PSMA: machine learning predicts response with high accuracy based on PSMA-PET/CT and clinical parameters S Moazemi, A Erle, Z Khurshid, S Luetje, M Muders, M Essler, ... Annals of Translational Medicine 9 (9), 2021 | 21 | 2021 |
| Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans A Erle, S Moazemi, S Lütje, M Essler, T Schutz, RA Bundschuh Tomography 7 (3), 301-312, 2021 | 16 | 2021 |
| Predicting treatment response in prostate cancer patients based on multimodal pet/ct for clinical decision support S Moazemi, M Essler, T Schultz, RA Bundschuh International Workshop on Multimodal Learning for Clinical Decision Support …, 2021 | 11 | 2021 |
| Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks HA Steven Kessler, Dennis Schroeder, Sergej Korlakov, Vincent Hettlich ... DIGITAL HEALTH 9, 2023 | 9 | 2023 |
| Analyzing different combinations of radiomics features and clinical data for treatment response prediction based on whole-body PSMA-PET-CT scans: A machine learning based approach S Moazemi, A Erle, M Essler, T Schultz, RA Bundschuh Nuklearmedizin-NuclearMedicine 59 (02), P114, 2020 | 4 | 2020 |
| Artificial Intelligence for Clinical Decision Support for Monitoring Patients in Cardiovascular ICUs: A Systematic Review S Moazemi, S Vahdati, J Li, S Kalkhoff, LJV Castano, B Dewitz, R Bibo, ... Frontiers in Medicine 10, 566, 2023 | 3 | 2023 |
| Real-Time 3D Scans of Cardiac Surgery Using a Single Optical-See-Through Head-Mounted Display in a Mobile Setup B Dewitz, R Bibo, S Moazemi, S Kalkhoff, S Recker, A Liebrecht, ... Frontiers in Virtual Reality 3 (949360), 2022 | 3 | 2022 |
| Evaluating a Recurrent Neural Network Model for Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data S Moazemi, S Kalkhoff, S Kessler, Z Boztoprak, V Hettlich, A Liebrecht, ... Engineering Proceedings 18 (1), 2022 | 3 | 2022 |
| Analyzing the potential of radiomics features and radiomics signature from pretherapeutic PSMA-PET-CT scans and clinical data for prediction of overall survival when treated … S Moazemi, A Erle, M Essler, RA Bundschuh Nuklearmedizin 60 (02), 181, 2021 | 2 | 2021 |
| Automated detection of pathological lesions in PSMA PET/CT scans in prostate cancer patients: analyzing the relative importance of different groups of features S Moazemi, Z Khurshid, M Essler, T Schultz, RA Bundschuh Nuklearmedizin-NuclearMedicine 58 (02), L7, 2019 | 2 | 2019 |
| ARMAGNI: Augmented Reality Enhanced Surgical Magnifying Glasses A Liebrecht, R Bibo, B Dewitz, S Kalkhoff, S Moazemi, M Rollinger, ... Scandinavian Conference on Health Informatics, 46-51, 2022 | 1 | 2022 |
| Towards 5G Telementoring in VR-Assisted Heart Transplantation Using HoloLens 2 B Dewitz, R Bibo, S Kalkhoff, S Moazemi, A Liebrecht, C Geiger, ... | 1 | 2022 |
| Evaluating a machine learning based tool for the detection of pathological hotspots in whole-body PSMA-PET-CT scans A Erle, S Moazemi, M Essler, T Schultz, RA Bundschuh Nuklearmedizin-NuclearMedicine 59 (02), V8, 2020 | 1 | 2020 |
| Enacted Selves in Technological Activities–Framework and Case Study in Immersive Telementoring B Dewitz, S Moazemi, S Kalkhoff, S Kessler, C Geiger, F Steinicke, ... Proceedings of Mensch und Computer 2023, 289-299, 2023 | | 2023 |
| Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients S Vahdati, DB Nagaraj, M Bryan, S Moazemi, S Gründer-Fahrer, M Martin Scandinavian Conference on Image Analysis, 3-15, 2023 | | 2023 |
| Integrating Interactive Web-Based Modules to Enhance Explainability of a Medical AI Dashboard for Predicting Readmission to Cardiovascular ICUs S Kalkhoff, C Kwok, S Kessler, S Moazemi, A Lichtenberg, H Aubin, ... The Thoracic and Cardiovascular Surgeon 71, S1-S72, 2023 | | 2023 |
| Computer Assisted Diagnosis in PET/CT Machine Learning for Prognosis in Oncological Patients S Moazemi Rheinische Friedrich-Wilhelms-Universität Bonn, 2022 | | 2022 |
| Evaluating a Recurrent Neural Networks Model For Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data. Eng. Proc. 2022, 1, 0 S Moazemi, S Kalkhoff, S Kessler, Z Boztoprak, V Hettlich, A Liebrecht, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
Thomas SchultzProfessor of Life Science Informatics and Visualization, University of BonnVerified email at cs.uni-bonn.de
