Prof. Dr. Florian Knoll

Professur für Computational Imaging

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 Spatiotemporal variational neural network for reconstruction of highly accelerated cardiac cine MRI (2022) Vornehm M, Wetzl J, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of a poster New-Generation Low-Field Magnetic Resonance Imaging of Hip Arthroplasty Implants Using Slice Encoding for Metal Artifact Correction: First in Vitro Experience at 0.55 T and Comparison with 1.5 T (2022) Khodarahmi I, Brinkmann IM, Lin DJ, Bruno M, Johnson PM, Knoll F, Keerthivasan MB, et al. Journal article Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate (2022) Johnson PM, Tong A, Donthireddy A, Melamud K, Petrocelli R, Smereka P, Qian K, et al. Journal article Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications (2022) Zibetti MVW, Knoll F, Regatte RR Journal article Estimation of the capillary level input function for dynamic contrast-enhanced MRI of the breast using a deep learning approach (2022) Bae J, Huang Z, Knoll F, Geras K, Sood TP, Feng L, Heacock L, et al. Journal article Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction (2022) Narnhofer D, Effland A, Kobler E, Hammernik K, Knoll F, Pock T Journal article