Professur für Computational Imaging

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 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