| Machine learning in the detection and management of atrial fibrillation FK Wegner, L Plagwitz, F Doldi, C Ellermann, K Willy, J Wolfes, ... Clinical Research in Cardiology 111 (9), 1010-1017, 2022 | 32 | 2022 |
| PHOTONAI—A Python API for rapid machine learning model development R Leenings, NR Winter, L Plagwitz, V Holstein, J Ernsting, K Sarink, ... Plos one 16 (7), e0254062, 2021 | 22 | 2021 |
| Detection of patients with congenital and often concealed long-QT syndrome by novel deep learning models F Doldi, L Plagwitz, LP Hoffmann, B Rath, G Frommeyer, F Reinke, P Leitz, ... Journal of Personalized Medicine 12 (7), 1135, 2022 | 9 | 2022 |
| Predictors for major in-hospital complications after catheter ablation of ventricular arrhythmias: validation and modification of the Risk in Ventricular Ablation (RIVA) score F Doldi, PM Doldi, L Plagwitz, M Westerwinter, J Wolfes, D Korthals, ... Clinical Research in Cardiology 112 (12), 1778-1789, 2023 | 3 | 2023 |
| Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. L Plagwitz, A Brenner, M Fujarski, J Varghese Challenges of Trustable AI and Added-Value on Health, 109-113, 2022 | 3 | 2022 |
| Utilizing a non-motor symptoms questionnaire and machine learning to differentiate movement disorders A Brenner, L Plagwitz, M Fujarski, T Warnecke, J Varghese Challenges of Trustable AI and Added-Value on Health, 104-108, 2022 | 2 | 2022 |
| Machine Learning in the Parkinson’s disease smartwatch (PADS) dataset J Varghese, A Brenner, M Fujarski, CM van Alen, L Plagwitz, T Warnecke npj Parkinson's Disease 10 (1), 9, 2024 | 1 | 2024 |
| Post Hoc sample size estimation for deep learning architectures for ECG-classification L Bickmann, L Plagwitz, J Varghese Stud. Health Technol. Inform 302, 182-186, 2023 | 1 | 2023 |
| The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models L Plagwitz, T Vogelsang, F Doldi, L Bickmann, M Fujarski, L Eckardt, ... Caring is Sharing–Exploiting the Value in Data for Health and Innovation, 33-37, 2023 | 1 | 2023 |
| Prediction of acute kidney injury in the intensive care unit: preliminary findings in a European open access database M Fujarski, C Porschen, L Plagwitz, A Brenner, N Ghoreishi, P Thoral, ... Challenges of Trustable AI and Added-Value on Health, 139-140, 2022 | 1 | 2022 |
| Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies L Plagwitz, S Choi, X Yu, D Segelcke, H Lambers, E Pogatzki-Zahn, ... Biomedical Signal Processing and Control 93, 106136, 2024 | | 2024 |
| Author Correction: Machine Learning in the Parkinson’s disease smartwatch (PADS) dataset J Varghese, A Brenner, M Fujarski, CM van Alen, L Plagwitz, T Warnecke npj Parkinson's Disease 10 (1), 92, 2024 | | 2024 |
| Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks S Sandmann, S Riepenhausen, L Plagwitz, J Varghese Nature Communications 15 (1), 2050, 2024 | | 2024 |
| PADS-Parkinsons Disease Smartwatch dataset J Varghese, A Brenner, L Plagwitz, C van Alen, M Fujarski, T Warnecke PhysioNet, 2024 | | 2024 |
| DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation M Fujarski, C Porschen, L Plagwitz, D Stroth, CMVAN ALEN, M Sadjadi, ... Caring is Sharing—Exploiting the Value in Data for Health and Innovation …, 2023 | | 2023 |
| Classification of Parkinson’s Disease from Voice–Analysis of Data Selection Bias A Brenner, CM Van Alen, L Plagwitz, J Varghese Caring is Sharing–Exploiting the Value in Data for Health and Innovation …, 2023 | | 2023 |
| MRI Brain Image Segmentation with Machine Learning for Mice and Rats: A Preclinical Application L Plagwitz, B Pradier, C van Alen, J Varghese 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik …, 2022 | | 2022 |
| Spatially-Adapted Regularization for Inverse Problems L Plagwitz Applied Mathematics: Institute for Analysis and Numerics University of …, 2021 | | 2021 |
Julian VargheseUniversity of MuensterVerifierad e-postadress på uni-muenster.de
