Prof. Dr. Florian Knoll

Professur für Computational Imaging

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge (2021) Maier O, Baete SH, Fyrdahl A, Hammernik K, Harrevelt S, Kasper L, Karakuzu A, et al. Journal article, Review article Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge (2021) Johnson PM, Jeong G, Hammernik K, Schlemper J, Qin C, Duan J, Rueckert D, et al. Conference contribution A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction (2021) Huang Z, Bae J, Johnson PM, Sood T, Heacock L, Fogarty J, Moy L, et al. Conference contribution Training a neural network for Gibbs and noise removal in diffusion MRI (2021) Muckley MJ, Ades-Aron B, Papaioannou A, Lemberskiy G, Solomon E, Lui YW, Sodickson DK, et al. Journal article Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction (2021) Muckley MJ, Riemenschneider B, Radmanesh A, Kim S, Jeong G, Ko J, Jun Y, et al. Journal article Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge (2020) Knoll F, Murrell T, Sriram A, Yakubova N, Zbontar J, Rabbat M, Defazio A, et al. Journal article Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks (2020) Zibetti MVW, Johnson PM, Sharafi A, Hammernik K, Knoll F, Regatte RR Journal article Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study (2020) Recht MP, Zbontar J, Sodickson DK, Knoll F, Yakubova N, Sriram A, Murrell T, et al. Journal article FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning (2020) Knoll F, Zbontar J, Sriram A, Muckley MJ, Bruno M, Defazio A, Parente M, et al. Journal article Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues (2020) Knoll F, Hammernik K, Zhang C, Moeller S, Pock T, Sodickson DK, Akcakaya M Journal article