Marco Palombo
Marco Palombo
Senior Researcher, Centre for Medical Image Computing (CMIC), Dep. Computer Science, UCL, London
Email verificata su ucl.ac.uk
TitoloCitata daAnno
Non-Gaussian diffusion imaging: a brief practical review
S De Santis, A Gabrielli, M Palombo, B Maraviglia, S Capuani
Magnetic resonance imaging 29 (10), 1410-1416, 2011
712011
Spatio-temporal anomalous diffusion in heterogeneous media by nuclear magnetic resonance
M Palombo, A Gabrielli, S De Santis, C Cametti, G Ruocco, S Capuani
The Journal of chemical physics 135 (3), 034504, 2011
552011
New paradigm to assess brain cell morphology by diffusion-weighted MR spectroscopy in vivo
M Palombo, C Ligneul, C Najac, J Le Douce, J Flament, C Escartin, ...
Proceedings of the National Academy of Sciences 113 (24), 6671-6676, 2016
412016
Fractional order generalization of anomalous diffusion as a multidimensional extension of the transmission line equation
JJ GadElkarim, RL Magin, MM Meerschaert, S Capuani, M Palombo, ...
IEEE journal on emerging and selected topics in circuits and systems 3 (3 …, 2013
36*2013
Structural disorder and anomalous diffusion in random packing of spheres
M Palombo, A Gabrielli, VDP Servedio, G Ruocco, S Capuani
Scientific reports 3, 2631, 2013
312013
Spatio-temporal anomalous diffusion imaging: results in controlled phantoms and in excised human meningiomas
S Capuani, M Palombo, A Gabrielli, A Orlandi, B Maraviglia, FS Pastore
Magnetic resonance imaging 31 (3), 359-365, 2013
262013
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
252018
Can we detect the effect of spines and leaflets on the diffusion of brain intracellular metabolites?
M Palombo, C Ligneul, E Hernandez-Garzon, J Valette
NeuroImage, DOI: 10.1016/j.neuroimage.2017.05.003, 2017
232017
Modeling diffusion of intracellular metabolites in the mouse brain up to very high diffusion-weighting: Diffusion in long fibers (almost) accounts for non-monoexponential …
M Palombo, C Ligneul, J Valette
Magnetic Resonance in Medicine, 2017
212017
The γ parameter of the stretched-exponential model is influenced by internal gradients: validation in phantoms
M Palombo, A Gabrielli, S De Santis, S Capuani
Journal of Magnetic Resonance 216, 28-36, 2012
212012
Metabolite diffusion up to very high b in the mouse brain in vivo: Revisiting the potential correlation between relaxation and diffusion properties
C Ligneul, M Palombo, J Valette
Magnetic resonance in medicine, 2017
172017
Insights into brain microstructure from in vivo DW-MRS
M Palombo, N Shemesh, I Ronen, J Valette
NeuroImage, https://doi.org/10.1016/j.neuroimage.2017.11.028, 2017
162017
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal
M Palombo, DC Alexander, H Zhang
NeuroImage 188, 391-402, 2019
142019
New insight into the contrast in diffusional kurtosis images: Does it depend on magnetic susceptibility?
M Palombo, S Gentili, M Bozzali, E Macaluso, S Capuani
Magnetic resonance in medicine 73 (5), 2015-2024, 2015
132015
Internal magnetic field gradients in heterogeneous porous systems: comparison between Spin-Echo and Diffusion Decay Internal Field (DDIF) method
G Di Pietro, M Palombo, S Capuani
Applied Magnetic Resonance 45 (8), 771-784, 2014
92014
Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta
PJ Slator, J Hutter, M Palombo, LH Jackson, A Ho, E Panagiotaki, ...
Magnetic resonance in medicine 82 (1), 95-106, 2019
72019
A compartment based model for non-invasive cell body imaging by diffusion MRI
M Palombo, N Shemesh, A Ianus, DC Alexander, H Zhang
Proc. Intl. Soc. Mag. Reson. Med. 26, 2018
72018
Brain metabolite diffusion from ultra-short to ultra-long time scales: what do we learn, where should we go?
J Valette, C Ligneul, C Marchadour, C Najac, M Palombo
Frontiers in Neuroscience, doi: 10.3389/fnins.2018.00002, 2018
62018
The γ-parameter of Anomalous Diffusion quantified in human brain by MRI depends on local magnetic susceptibility differences
A Caporale, M Palombo, E Macaluso, M Guerreri, M Bozzali, S Capuani
NeuroImage, 2017
62017
Abundance of cell bodies can explain the stick model’s failure in grey matter at high bvalue
M Palombo, N Shemesh, A Ianus, D Alexander, H Zhang
ISMRM (International Society for Magnetic Resonance in Medicine), 2018
42018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20