Dr.-Ing. Siming Bayer



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Types of publications

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Unpublished / Preprint

Publication year

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To

Abstract

Journal

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, Maier A, Jäger J, Bayer S Conference contribution, Conference Contribution Robust AI-Based Chest Radiograph Classification Without Prior Task Training via Improved Vision-Language Alignment (2026) Bhat S, Bayer S, Grbic S, Maier A Conference contribution, Abstract of a poster Robustness Evaluation of Machine Learning Models for Fault Classification and Localization in Power System Protection (2026) Oelhaf J, Pashaei M, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT (2026) Sun Y, Schneider LS, Schwarz A, Gu M, Mei S, Ye C, Bayer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 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 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 A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management (2025) Oelhaf J, Kordowich G, Pashaei M, Bergler C, Maier A, Jäger J, Bayer S Journal article, Review article