Enrico Kaden
Enrico Kaden
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Cited by
Cited by
Multi-compartment microscopic diffusion imaging
E Kaden, ND Kelm, RP Carson, MD Does, DC Alexander
NeuroImage 139, 346-359, 2016
Quantitative mapping of the per‐axon diffusion coefficients in brain white matter
E Kaden, F Kruggel, DC Alexander
Magnetic resonance in medicine 75 (4), 1752-1763, 2016
Parametric spherical deconvolution: inferring anatomical connectivity using diffusion MR imaging
E Kaden, TR Knösche, A Anwander
NeuroImage 37 (2), 474-488, 2007
Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution
R Tanno, DE Worrall, A Ghosh, E Kaden, SN Sotiropoulos, A Criminisi, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study
I Drobnjak, H Zhang, A Ianuş, E Kaden, DC Alexander
Magnetic resonance in medicine 75 (2), 688-700, 2016
Image quality transfer and applications in diffusion MRI
DC Alexander, D Zikic, A Ghosh, R Tanno, V Wottschel, J Zhang, E Kaden, ...
NeuroImage 152, 283-298, 2017
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ...
NeuroImage 195, 285-299, 2019
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
R Tanno, DE Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
NeuroImage 225, 117366, 2021
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ...
Neuroimage 221, 117128, 2020
Tractography reproducibility challenge with empirical data (TraCED): the 2017 ISMRM diffusion study group challenge
V Nath, KG Schilling, P Parvathaneni, Y Huo, JA Blaber, AE Hainline, ...
Journal of Magnetic Resonance Imaging 51 (1), 234-249, 2020
Uncertainty quantification in deep learning for safer neuroimage enhancement
R Tanno, D Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
arXiv preprint arXiv:1907.13418, 2019
Variational inference of the fiber orientation density using diffusion MR imaging
E Kaden, A Anwander, TR Knösche
Neuroimage 42 (4), 1366-1380, 2008
Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue
LS Kakkar, OF Bennett, B Siow, S Richardson, A Ianuş, T Quick, ...
Neuroimage 182, 314-328, 2018
Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord
F Grussu, A Ianuş, C Tur, F Prados, T Schneider, E Kaden, S Ourselin, ...
Magnetic resonance in medicine 81 (2), 1247-1264, 2019
In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI
F Nery, F Szczepankiewicz, L Kerkelä, MG Hall, E Kaden, I Gordon, ...
Magnetic resonance in medicine 82 (6), 2160-2168, 2019
Bayesian image quality transfer
R Tanno, A Ghosh, F Grussu, E Kaden, A Criminisi, DC Alexander
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Probing axons using multi‐compartmental diffusion in multiple sclerosis
F Bagnato, G Franco, H Li, E Kaden, F Ye, R Fan, A Chen, DC Alexander, ...
Annals of clinical and translational neurology 6 (9), 1595-1605, 2019
Deep learning for low-field to high-field MR: image quality transfer with probabilistic decimation simulator
H Lin, M Figini, R Tanno, SB Blumberg, E Kaden, G Ogbole, BJ Brown, ...
Machine Learning for Medical Image Reconstruction: Second International …, 2019
White matter microstructural abnormalities in children with severe congenital hypothyroidism
HE Cooper, E Kaden, LF Halliday, DE Bamiou, K Mankad, C Peters, ...
NeuroImage: Clinical 24, 101980, 2019
Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results
L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ...
Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019
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