Dr.-Ing. Siming Bayer

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Sportbiologie und Bewegungsmedizin

A deep learning framework for heat demand forecasting using time–frequency representations of decomposed features (2026) Ramachandran A, Chatterjee S, Neergaard TFB, Oberndoerfer M, Maier A, Bayer S Journal article PROTECT-90: A Fault Dataset for Power System Protection (2026) Oelhaf J, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Lesion-Aware AI for Mammography: Multi-Dataset Pretraining with ROI-Guided Contrastive Learning and Clinical Image Retrieval (2026) Bhandary Panambur A, Nguyen TT, Bayer S, Maier A Conference contribution, Abstract of a poster Fault Inception Detection in Real-World Disturbance Data for Power System Protection (2026) Oelhaf J, Pashaei M, Perez Toro PA, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection (2026) Oelhaf J, Kordowich G, Kim C, Andrea Perez-Toro P, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint MammoBLIP: End-to-End Mammography Report Generation with Vision-Language Models and Public Multi-Institutional Datasets (2025) Bhandary Panambur A, Wind S, Bayer S, Maier A Conference contribution A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma (2025) Gomaa A, Huang Y, Stephan P, Breininger K, Frey B, Dörfler A, Schnell O, et al. Journal article Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography (2025) Ravi A, Bernhardt P, Hoffmann M, Kordon F, Bayer S, Achenbach S, Maier A Journal article Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection (2025) Oelhaf J, Kordowich G, Kim C, Perez Toro PA, Maier A, Jäger J, Bayer S Conference contribution Impact of Training Dataset Size for ML Load Flow Surrogates (2025) Conrad T, Kim C, Jäger J, Maier A, Bayer S Conference contribution, Conference Contribution