Dr.-Ing. Siming Bayer



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
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Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

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Abstract

Journal

PROTECT-90: A Fault Dataset for Power System Protection (2026) Oelhaf J, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint A deep learning framework for heat demand forecasting using time–frequency representations of decomposed features (2026) Ramachandran A, Chatterjee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 Physics-Informed GNN for Medium-High Voltage AC Power Flow With Edge-Aware Attention and Line Search Correction Operator (2026) Kim C, Conrad T, Karim R, Oelhaf J, Riebesel D, Arias Vergara T, Maier A, et al. Conference contribution, Conference Contribution LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT (2026) Sun Y, Schneider LS, Schwarz A, Gu M, Mei S, Ye C, Bayer S, Maier A Conference contribution SV-FBP for Non-Circular CBCT via Trajectory Standardization: Learn Once and for All (2025) Ye C, Schneider LS, Sun Y, Bayer S, Maier A Conference contribution 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
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