Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery. - Siming Bayer; Andreas K. Maier; Martin Ostermeier; Rebecca Fahrig (Int. J. Biomed. Imaging, 2017)

Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. - Siming Bayer; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier; Xiaodong Tong; Hu Wang; Martin Ostermeier; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2018)

Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. - Siming Bayer; Nishant Ravikumar; Maddalena Strumia; Xiaoguang Tong; Ying Gao; Martin Ostermeier; Rebecca Fahrig; Andreas K. Maier (MICCAI (4), 2018)

Resolve Intraoperative Brain Shift as Imitation Game. - Xia Zhong; Siming Bayer; Nishant Ravikumar; Norbert Strobel; Annette Birkhold; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. - Xia Zhong; Philipp Roser; Siming Bayer; Nishant Ravikumar; Norbert Strobel; Annette Birkhold; Tim Horz; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Registration of vascular structures using a hybrid mixture model. - Siming Bayer; Zhiwei Zhai; Maddalena Strumia; Xiaoguang Tong; Ying Gao; Marius Staring; Berend C. Stoel; Rebecca Fahrig; Arya Nabavi; Andreas Maier 001; Nishant Ravikumar (Int. J. Comput. Assist. Radiol. Surg., 2019)

Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. - Siming Bayer; Xia Zhong; Weilin Fu; Nishant Ravikumar; Andreas Maier 001 (CoRR, 2019)

Corrigendum to "Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery". - Siming Bayer; Andreas K. Maier; Martin Ostermeier; Rebecca Fahrig (Int. J. Biomed. Imaging, 2019)

Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. - Siming Bayer; Ute Spiske; Jie Luo 003; Tobias Geimer; William M. Wells III; Martin Ostermeier; Rebecca Fahrig; Arya Nabavi; Christoph Bert; Ilker Eyüpoglo; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. - Siming Bayer; Xia Zhong; Weilin Fu; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. - Siming Bayer; Ute Spiske; Jie Luo 003; Tobias Geimer; William M. Wells III; Martin Ostermeier; Rebecca Fahrig; Arya Nabavi; Christoph Bert; Ilker Eyüpoglo; Andreas K. Maier (CoRR, 2020)

Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model. - Satyaki Chatterjee; Siming Bayer; Andreas K. Maier (CoRR, 2021)

Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble. - Adithya Ramachandran; Satyaki Chatterjee; Siming Bayer; Andreas K. Maier; Thorkil Flensmark (CoRR, 2022)

Point-based Registration of Vascular Structures: Applications for Diagnostic and Interventional Procedures - Siming Bayer (2022)

Attention-guided Erasing - Novel Augmentation Method for Enhancing Downstream Breast Density Classification. - Adarsh Bhandary Panambur; Hui Yu; Sheethal Bhat; Prathmesh Madhu; Siming Bayer; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. - Yipeng Sun; Linda-Sophie Schneider; Fuxin Fan; Mareike Thies; Mingxuan Gu; Siyuan Mei; Yuzhong Zhou; Siming Bayer; Andreas K. Maier (CoRR, 2024)

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction. - Yipeng Sun; Yixing Huang; Linda-Sophie Schneider; Mareike Thies; Mingxuan Gu; Siyuan Mei; Siming Bayer; Andreas K. Maier (CoRR, 2024)

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids. - Julian Oelhaf; Georg Kordowich; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Andreas K. Maier; Johann Jäger; Siming Bayer (ICASSP, 2025)

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Pluvio Stephan; Katharina Breininger; Benjamin Frey; Arnd Dörfler; Oliver Schnell; Daniel Delev; Roland Coras; Charlotte Schmitter; Jenny Stritzelberger; Sabine Semrau; et al. (CoRR, 2025)

Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges. - Adithya Ramachandran; Thorkil Flensmark; B. Neergaard; Andreas K. Maier; Siming Bayer (CoRR, 2025)

Attention-guided erasing for enhanced transfer learning in breast abnormality classification. - Adarsh Bhandary Panambur; Sheethal Bhat; Hui Yu; Prathmesh Madhu; Siming Bayer; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2025)

Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering. - Yipeng Sun; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Chengze Ye; Fabian Wagner; Siming Bayer; Andreas K. Maier (CoRR, 2025)

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction. - Yipeng Sun; Linda-Sophie Schneider; Chengze Ye; Mingxuan Gu; Siyuan Mei; Siming Bayer; Andreas K. Maier (CoRR, 2025)

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection. - Julian Oelhaf; Georg Kordowich; Changhun Kim; Paula Andrea Pérez-Toro; Andreas Maier 001; Johann Jäger; Siming Bayer (CoRR, 2025)

Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals. - Julian O. Matschinske; Georg Kordowich; Andreas K. Maier; Johann Jaeger; Siming Bayer (CoRR, 2025)