Professur für Computational Imaging

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 Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study (2023) Schwarz A, Werner R, Wimmert L, Vornehm M, Gauer T, Hofmann C Journal article Deep learning-based accelerated T1 mapping for cardiac MRI (2023) Amsel D, Vornehm M, Wetzl J, Schmidt M, Knoll F Conference contribution, Abstract of a poster