Umesh Rudrapatna
Umesh Rudrapatna
Philips Healthcare
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Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI
DK Jones, DC Alexander, R Bowtell, M Cercignani, F Dell'Acqua, ...
NeuroImage 182, 8-38, 2018
Noninvasive quantification of axon radii using diffusion MRI
J Veraart, D Nunes, U Rudrapatna, E Fieremans, DK Jones, DS Novikov, ...
elife 9, e49855, 2020
Can diffusion kurtosis imaging improve the sensitivity and specificity of detecting microstructural alterations in brain tissue chronically after experimental stroke …
SU Rudrapatna, T Wieloch, K Beirup, K Ruscher, W Mol, P Yanev, ...
Neuroimage 97, 363-373, 2014
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
Dynamic multi-coil technique (DYNAMITE) shimming for echo-planar imaging of the human brain at 7 Tesla
C Juchem, SU Rudrapatna, TW Nixon, RA de Graaf
Neuroimage 105, 462-472, 2015
Estimating axon conduction velocity in vivo from microstructural MRI
M Drakesmith, R Harms, SU Rudrapatna, GD Parker, CJ Evans, DK Jones
Neuroimage 203, 116186, 2019
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
Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI
CMW Tax, E Kleban, M Chamberland, M Baraković, U Rudrapatna, ...
Neuroimage 236, 117967, 2021
Spreading depolarizations increase delayed brain injury in a rat model of subarachnoid hemorrhage
AM Hamming, MJH Wermer, S Umesh Rudrapatna, C Lanier, HJA Van Os, ...
Journal of Cerebral Blood Flow & Metabolism 36 (7), 1224-1231, 2016
Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation
M Barakovic, CMW Tax, U Rudrapatna, M Chamberland, J Rafael-Patino, ...
Neuroimage 227, 117617, 2021
A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners
U Rudrapatna, GD Parker, J Roberts, DK Jones
Magnetic resonance in medicine 85 (2), 1104-1113, 2021
Magnetic resonance imaging of local and remote vascular remodelling after experimental stroke
P Yanev, PR Seevinck, US Rudrapatna, MJRJ Bouts, A van der Toorn, ...
Journal of Cerebral Blood Flow & Metabolism 37 (8), 2768-2779, 2017
Can we correct for interactions between subject motion and gradient-nonlinearity in diffusion MRI
SU Rudrapatna, GD Parker, J Roberts, DK Jones
Proc. Int. Soc. Mag. Reson. Med 1206, 1206, 2018
Strong diffusion gradients allow the separation of intra-and extra-axonal gradient-echo signals in the human brain
E Kleban, CMW Tax, US Rudrapatna, DK Jones, R Bowtell
NeuroImage 217, 116793, 2020
MICRA: Microstructural image compilation with repeated acquisitions
K Koller, U Rudrapatna, M Chamberland, EP Raven, GD Parker, ...
Neuroimage 225, 117406, 2021
Estimating axial diffusivity in the NODDI model
AFD Howard, M Cottaar, M Drakesmith, Q Fan, SY Huang, DK Jones, ...
NeuroImage 262, 119535, 2022
Valproate reduces delayed brain injury in a rat model of subarachnoid hemorrhage
AM Hamming, A Van Der Toorn, US Rudrapatna, L Ma, HJA Van Os, ...
Stroke 48 (2), 452-458, 2017
Disentangling in two dimensions in the living human brain: Feasbilty of relaxometry-diffusometry using ultra-strong gradients
C Tax, U Rudrapatna, T Witzel, DK Jones
Proc Intl Soc Mag Reson Med 25, 838, 2017
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
Biophysical modeling of the gray matter: does the “stick” model hold
J Veraart, E Fieremans, U Rudrapatna, D Jones, DS Novikov
Proceedings of the 27th Annual Meeting of ISMRM, Paris, France, 2018
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