Siemens AG, Healthcare Sector

Industry / private company


Location: Erlangen u.a., Germany (DE) DE

ISNI: 0000000405524145

ROR: https://ror.org/0449c4c15

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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Unpublished / Preprint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

From
To

Abstract

Journal

Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction (2024) Fürnrohr F, Wetzl J, Vornehm M, Giese D, Knoll F Conference contribution Estimating the Execution Time of CNN Inference on GPUs (2024) Groth S, Schmid M, Teich J, Hannig F Conference contribution, Original article Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies (2024) Nau M, Vija AH, Reymann M, Gohn W Conference contribution, Original article Computing Null Space Hallucinations on Simulated SPECT Image Reconstructions (2023) Nau M, Reymann M, Massanes F, Vija AH, Maier A Conference contribution, Abstract of a poster 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 Masking for DDG in SPECT Reduces Influence of Motion Artifacts (2023) Reymann M, Vija AH, Maier A Conference contribution Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction (2023) Nau M, Vija AH, Gohn W, Reymann M, Maier A Journal article, Report Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article, Original article Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article