Prof. Dr. Florian Knoll

Professur für Computational Imaging

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI (2023) Johnson PM, Lin DJ, Zbontar J, Zitnick CL, Sriram A, Muckley M, Babb JS, et al. Journal article 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 Stable Deep MRI Reconstruction using Generative Priors (2023) Zach M, Knoll F, Pock T 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 Towards Low-Latency Deep Learning-Based Reconstruction of Real-Time Cine MRI (2023) Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of a poster Deep Learning-Based Reconstruction of Accelerated Cardiac Cine MRI at 0.55T (2023) Vornehm M, Wetzl J, Giese D, Pang J, Ahmad R, Knoll F Conference contribution, Abstract of a poster Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging (2023) Hammernik K, Kustner T, Yaman B, Huang Z, Rueckert D, Knoll F, Akcakaya M Journal article k-t Adaptive Regularization in Variational Networks for Cardiac Cine Reconstruction (2023) Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of a poster fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data (2022) Zhao R, Yaman B, Zhang Y, Stewart R, Dixon A, Knoll F, Huang Z, et al. Journal article Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI (2022) Radmanesh A, Muckley MJ, Murrell T, Lindsey E, Sriram A, Knoll F, Sodickson DK, Lui YW Journal article, Original article