| Login | Create Account |
Browse by Authors
Group by: Date | Item Type Jump to: Article Number of items: 7. ArticleWeimann, K. and Conrad, T. O. F. (2025) Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance. Computers in Biology and Medicine, 196 . ISSN 0010-4825 Thieme, Alexander Henry and Miri, Tahir and Marra, Alexandre R and Kobayashi, Takaaki and Rodriguez-Nava, Guillermo and Li, Yiheng and Barba, Thomas and Er, Justus and Gertler and Zamboglou, Constantinos and Alyahya, Lujain and Uhlig, Maximilian and Machiraju, Gautam and Weimann, K. and Lippert, Christoph and Conrad, T. O. F. and Ma, Jackie and Novoa, Roberto and Moor, Michael and Hernandez-Boussard, Tina and Alawad, Mohammed and Salinas, Jorge L. and Mittermaier, Mirja and Gevaert, Olivier (2025) Physician-level classification performance across multiple imaging domains with a diagnostic medical foundation model and a large dataset of annotated medical images. medRxiv . (Submitted) Weimann, K. and Conrad, T. O. F. (2024) Federated Learning with Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification. IEEE Journal of Biomedical and Health Informatics, 28 (11). ISSN 2168-2194 Weimann, K. and Conrad, T. O. F. (2024) FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems. International Journal of Data Science and Analytics, 19 (1). Weimann, K. and Conrad, T. O. F. (2023) Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks. Computing in Cardiology (CinC) 2023, 50 . Melnyk, Kateryna and Weimann, K. and Conrad, T. O. F. (2023) Understanding microbiome dynamics via interpretable graph representation learning. Scientific Reports, 13 (2058). ISSN 2045-2322 Weimann, K. and Conrad, T. O. F. (2021) Transfer Learning for ECG Classification. Scientific Reports, 11 (5251). ISSN 2045-2322 |
