Siemens AG, Healthcare Sector

Training deep learning reconstruction models for radial real-time cardiac cine MRI using synthetic golden-angle data (2024) Ott Y, Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of lecture Assessment of Deep Learning-based Reconstruction with Imperfect Ground Truth for MRCP (2024) Kim J, Nickel MD, Knoll F Conference contribution, Conference Contribution Deep learning-based image reconstruction for higher resolution cardiac T1 mapping (2024) Amsel D, Vornehm M, Wetzl J, Schmidt M, Tillmanns C, Gebker R, Giese D, et al. Conference contribution, Abstract of a poster Variational Network Meets Conjugate Gradient: Inline Reconstruction and Strain Analysis of Accelerated Cardiac Cine MRI (2024) Vornehm M, Wetzl J, Fürnrohr F, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of a poster Low-Latency Reconstruction of Real-Time Cine MRI Using an Unrolled Network (2024) Vornehm M, Wetzl J, Fürnrohr F, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of lecture 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