Professur für Computational Imaging

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 Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography (2024) Kim J, Nickel MD, Knoll F Conference contribution, Conference Contribution Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping (2024) Brock L, Liebert A, Schreiter H, Skwierawska D, Ehring C, Eberle J, Laun FB, et al. Conference contribution Dose reduction for respiratory signal-guided step-and-shoot 4DCT by online dose modulation (2023) Werner R, Schwarz A, Wimmert L, Buttgen L, Vornehm M, Gauer T, Hofmann C Conference contribution, Abstract of a poster 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 Overview of Magnetic Resonance Imaging Reconstruction Methods Using Various Constraints to Solve the Ill-posed Problems (2023) Kim J, Nickel MD, Knoll F Conference contribution, Conference Contribution Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging (2023) Brock L, Ben-Atya H, Saar G, Folle L, Maier A, Freiman M, Vandoorne K Conference contribution, Abstract of a poster Stable Deep MRI Reconstruction using Generative Priors (2023) Zach M, Knoll F, Pock T Journal article