Tristan Gottschalk

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Lehrstuhl für Informatik 5 (Mustererkennung)
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Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans (2023) Fan F, Ritschl L, Beister M, Biniazan R, Wagner F, Kreher BW, Gottschalk T, et al. Journal article, Original article Cross-Domain Metal Segmentation for CBCT Metal Artifact Reduction (2022) Rohleder M, Gottschalk T, Maier A, Kreher BW Conference contribution DL-based inpainting for metal artifact reduction for cone beam CT using metal path length information (2022) Gottschalk T, Maier A, Kordon F, Kreher BW Journal article View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement (2021) Gottschalk T, Maier A, Kordon F, Kreher BW Journal article, Original article Learning-based Patch-wise Metal Segmentation with Consistency Check (2021) Gottschalk T, Maier A, Kordon F, Kreher BW Conference contribution, Conference Contribution Deep Learning Based Metal Inpainting in the Projection Domain using Additional Neighboring Projection Information (2020) Gottschalk T, Kreher BW, Maier A Conference contribution Deep Learning Based Metal Inpainting in the Projection Domain: Initial Results (2019) Gottschalk T, Kreher BW, Kunze H, Maier A Book chapter / Article in edited volumes Automatic ECG Arrhythmia Detection in Real-Time on Android-based Mobile Devices (2014) Leutheuser H, Gottschalk T, Anneken L, Struck M, Heuberger A, Achenbach S, Eskofier B, Arnold M Conference contribution