Siemens Healthineers

Industry / private company

Location: Erlangen, Germany (DE) DE

ISNI: 0000000405524145


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Types of publications

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Unpublished / Preprint

Publication year




Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography (2024) Kim J, Nickel MD, Knoll F Conference contribution, Conference Contribution 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 AUCReshaping: improved sensitivity at high-specificity (2023) Bhat S, Mansoor A, Georgescu B, Bhandary Panambur A, Ghesu FC, Islam S, Packhäuser K, et al. Journal article Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps (2023) Rist L, Taubmann O, Ditt H, Sühling M, Maier A Conference contribution, Conference Contribution Metal-conscious Embedding for CBCT Projection Inpainting (2023) Fan F, Wang Y, Ritschl L, Biniazan R, Beister M, Kreher BW, Huang Y, et al. Conference contribution Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography (2023) Denzinger F, Wels M, Taubmann O, Kordon FJ, Wagner F, Mehltretter S, Gülsün MA, et al. Conference contribution Deep learning for perspective deformation correction in X-ray imaging (2023) Huang Y, Maier A, Fan F, Kreher BW, Huang X, Fietkau R, Bert C, Putz F Journal article, other Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods (2023) Schauer J, Thamm F, Taubmann O, Maier A Conference contribution, Original article Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-Assisted Spine Surgery (2023) Fan F, Kreher BW, Keil H, Maier A, Huang Y Conference contribution, Abstract of lecture Analysis of Deep Learning-based Reconstruction Models for Highly Accelerated MR Cholangiopancreatography: to Fine-tune or not to Fine-tune (2023) Kim J, Benkert T, Riemenschneider B, Nickel MD, Knoll F Conference contribution, Abstract of a poster