Florian Knöll

Learning a variational network for reconstruction of accelerated MRI data

Kerstin Hammernik, Teresa Klatzer, Erich Kobler et al. · Magnetic Resonance in Medicine · 2017 · 1.6K citations

Second order total generalized variation (TGV) for MRI

Florian Knöll, Kristian Bredies, Thomas Pock et al. · Magnetic Resonance in Medicine · 2010 · 625 citations · Full text

Image Reconstruction, Image Analysis, Engineering +15

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Jure Žbontar, Florian Knöll, Anuroop Sriram · arXiv (Cornell University) · 2018 · 570 citations · Full text

Image Reconstruction, Image Analysis, Machine Learning +15

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

Florian Knöll, Jure Žbontar, Anuroop Sriram et al. · Radiology Artificial Intelligence · 2020 · 375 citations

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

Florian Knöll, Kerstin Hammernik, Chi Zhang et al. · IEEE Signal Processing Magazine · 2020 · 367 citations · Full text

Image Reconstruction, Engineering, Machine Learning +16