Florian Knoll
Zitiert von
Zitiert von
Learning a variational network for reconstruction of accelerated MRI data
K Hammernik, T Klatzer, E Kobler, MP Recht, DK Sodickson, T Pock, ...
Magnetic resonance in medicine 79 (6), 3055-3071, 2018
Second order total generalized variation (TGV) for MRI
F Knoll, K Bredies, T Pock, R Stollberger
Magnetic resonance in medicine 65 (2), 480-491, 2011
Multiparametric imaging with heterogeneous radiofrequency fields
MA Cloos, F Knoll, T Zhao, KT Block, M Bruno, GC Wiggins, ...
Nature communications 7 (1), 1-10, 2016
Parallel imaging with nonlinear reconstruction using variational penalties
F Knoll, C Clason, K Bredies, M Uecker, R Stollberger
Magnetic resonance in medicine 67 (1), 34-41, 2012
fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
arXiv preprint arXiv:1811.08839, 2018
Total generalized variation in diffusion tensor imaging
T Valkonen, K Bredies, F Knoll
SIAM Journal on Imaging Sciences 6 (1), 487-525, 2013
Low rank alternating direction method of multipliers reconstruction for MR fingerprinting
J Assländer, MA Cloos, F Knoll, DK Sodickson, J Hennig, R Lattanzi
Magnetic resonance in medicine 79 (1), 83-96, 2018
Joint MR-PET reconstruction using a multi-channel image regularizer
F Knoll, M Holler, T Koesters, R Otazo, K Bredies, DK Sodickson
IEEE transactions on medical imaging 36 (1), 1-16, 2016
Assessment of the generalization of learned image reconstruction and the potential for transfer learning
F Knoll, K Hammernik, E Kobler, T Pock, MP Recht, DK Sodickson
Magnetic resonance in medicine 81 (1), 116-128, 2019
Adapted random sampling patterns for accelerated MRI
F Knoll, C Clason, C Diwoky, R Stollberger
Magnetic resonance materials in physics, biology and medicine 24 (1), 43-50, 2011
Gibbs ringing in diffusion MRI
J Veraart, E Fieremans, IO Jelescu, F Knoll, DS Novikov
Magnetic resonance in medicine 76 (1), 301-314, 2016
Fast T2 mapping with improved accuracy using undersampled spin-echo MRI and model-based reconstructions with a generating function
TJ Sumpf, A Petrovic, M Uecker, F Knoll, J Frahm
IEEE transactions on medical imaging 33 (12), 2213-2222, 2014
gpuNUFFT-an open source GPU library for 3D regridding with direct Matlab interface
F Knoll, A Schwarzl, C Diwoky, DK Sodickson
Proceedings of the 22nd annual meeting of ISMRM, Milan, Italy, 4297, 2014
Learning a variational model for compressed sensing MRI reconstruction
K Hammernik, F Knoll, D Sodickson, T Pock
Proceedings of the International Society of Magnetic Resonance in Medicine …, 2016
Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware
F Knoll, M Unger, C Diwoky, C Clason, T Pock, R Stollberger
Magnetic resonance materials in physics, biology and medicine 23 (2), 103-114, 2010
A model‐based reconstruction for undersampled radial spin‐echo DTI with variational penalties on the diffusion tensor
F Knoll, JG Raya, RO Halloran, S Baete, E Sigmund, R Bammer, T Block, ...
NMR in Biomedicine 28 (3), 353-366, 2015
Reconstruction of undersampled radial PatLoc imaging using total generalized variation
F Knoll, G Schultz, K Bredies, D Gallichan, M Zaitsev, J Hennig, ...
Magnetic resonance in medicine 70 (1), 40-52, 2013
Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues
F Knoll, K Hammernik, C Zhang, S Moeller, T Pock, DK Sodickson, ...
IEEE Signal Processing Magazine 37 (1), 128-140, 2020
Preconditioned ADMM with nonlinear operator constraint
M Benning, F Knoll, CB Schönlieb, T Valkonen
IFIP Conference on System Modeling and Optimization, 117-126, 2015
Artificial intelligence in musculoskeletal imaging: current status and future directions
S Gyftopoulos, D Lin, F Knoll, AM Doshi, TC Rodrigues, MP Recht
American Journal of Roentgenology 213 (3), 506-513, 2019
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