Các bài viết có thể truy cập công khai - Florian KnollTìm hiểu thêm
Không có ở bất kỳ nơi nào: 6
Inverse GANs for accelerated MRI reconstruction
D Narnhofer, K Hammernik, F Knoll, T Pock
Wavelets and Sparsity XVIII 11138, 381-392, 2019
Các cơ quan ủy nhiệm: US National Institutes of Health, European Commission
Machine learning for image reconstruction
K Hammernik, F Knoll
Handbook of medical image computing and computer assisted intervention, 25-64, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health, Austrian Science Fund, European Commission
SparseCT: interrupted-beam acquisition and sparse reconstruction for radiation dose reduction
T Koesters, F Knoll, A Sodickson, DK Sodickson, R Otazo
Medical Imaging 2017: Physics of Medical Imaging 10132, 174-180, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health
Simultaneous PET-MRI reconstruction with vectorial second order total generalized variation
F Knoll, M Holler, T Koesters, K Bredies, DK Sodickson
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015
Các cơ quan ủy nhiệm: US National Institutes of Health
Evaluation of SparseCT on patient data using realistic undersampling models
B Chen, M Muckley, A Sodickson, T O'Donnell, F Knoll, D Sodickson, ...
Medical Imaging 2018: Physics of Medical Imaging 10573, 1040-1045, 2018
Các cơ quan ủy nhiệm: US National Institutes of Health
Advanced reconstruction methods for fast MRI
F Knoll
Advances in Magnetic Resonance Technology and Applications 4, 21-35, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health
Có tại một số nơi: 57
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
Các cơ quan ủy nhiệm: US National Institutes of Health, Austrian Science Fund, European Commission
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
Các cơ quan ủy nhiệm: Austrian Science Fund
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
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
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health, Austrian …
Results of the 2020 fastMRI challenge for machine learning MR image reconstruction
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
IEEE transactions on medical imaging 40 (9), 2306-2317, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health
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
Các cơ quan ủy nhiệm: US National Institutes of Health
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
Các cơ quan ủy nhiệm: US National Institutes of Health, Austrian Science Fund, European Commission
Multiparametric imaging with heterogeneous radiofrequency fields
MA Cloos, F Knoll, T Zhao, KT Block, M Bruno, GC Wiggins, ...
Nature communications 7 (1), 12445, 2016
Các cơ quan ủy nhiệm: US National Institutes of Health
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ...
Magnetic resonance in medicine 84 (6), 3054-3070, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Artificial intelligence for MR image reconstruction: an overview for clinicians
DJ Lin, PM Johnson, F Knoll, YW Lui
Journal of Magnetic Resonance Imaging 53 (4), 1015-1028, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health, Natural Sciences and Engineering Research …
Gibbs ringing in diffusion MRI
J Veraart, E Fieremans, IO Jelescu, F Knoll, DS Novikov
Magnetic resonance in medicine 76 (1), 301-314, 2016
Các cơ quan ủy nhiệm: US National Institutes of Health, Research Foundation (Flanders)
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
Các cơ quan ủy nhiệm: US National Institutes of Health
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study
MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ...
American Journal of Roentgenology 215 (6), 1421-1429, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Total generalized variation in diffusion tensor imaging
T Valkonen, K Bredies, F Knoll
SIAM journal on imaging sciences 6 (1), 487-525, 2013
Các cơ quan ủy nhiệm: Austrian Science Fund
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