Prof. Dr. Florian Knoll

Professur für Computational Imaging

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 Artificial intelligence in musculoskeletal imaging: Current status and future directions (2019) Gyftopoulos S, Lin D, Knoll F, Doshi AM, Rodrigues TC, Recht MP Journal article, Review article Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions (2019) Johnson PM, Muckley MJ, Bruno M, Kobler E, Hammernik K, Pock T, Knoll F Conference contribution Inverse GANs for accelerated MRI reconstruction (2019) Narnhofer D, Hammernik K, Knoll F, Pock T Conference contribution