Repository: Freie Universität Berlin, Math Department

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Number of items: 7.

Article

Weimann, 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

This list was generated on Mon Sep 29 20:49:31 2025 CEST.