Prof. Dr. Florian Knoll

Professur für Computational Imaging

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 Improving the Speed of MRI with Artificial Intelligence (2020) Johnson PM, Recht MP, Knoll F Journal article Artificial Intelligence Explained for Nonexperts (2020) Razavian N, Knoll F, Geras KJ Journal article End-to-End Variational Networks for Accelerated MRI Reconstruction (2020) Sriram A, Zbontar J, Murrell T, Defazio A, Zitnick CL, Yakubova N, Knoll F, Johnson P Conference contribution Image reconstruction for interrupted-beam x-ray CT on diagnostic clinical scanners (2019) Muckley MJ, Chen B, Vahle T, O'Donnell T, Knoll F, Sodickson AD, Sodickson DK, Otazo R Journal article Assessment of the generalization of learned image reconstruction and the potential for transfer learning (2019) Knoll F, Hammernik K, Kobler E, Pock T, Recht MP, Sodickson DK Journal article