Prof. Dr. Florian Knoll

Professur für Computational Imaging

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 Virtual Mouse Brain Histology from Multi-contrast MRI via Deep Learning (2022) Liang Z, Lee CH, Arefin TM, Dong Z, Walczak P, Shi SH, Knoll F, et al. Journal article Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians (2021) Lin DJ, Johnson PM, Knoll F, Lui YW Journal article, Review article 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