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Mauro Zucchelli
Observed names:
Frigo, Matteo,
M Zucchelli,
M. Zucchelli,
Zucchelli, Mauro
Institution:
Olea Medical (France)
Observed institutions:
University of Verona,
Institut national de recherche en sciences et technologies du numérique,
Université Côte d'Azur,
Olea Medical (France),
Centre Inria d'Université Côte d'Azur,
Communauté d'universités et d'établissements Université Côte d'Azur
show all 6
ORCID:
0000-0002-7109-2884
Observed ORCIDs:
0000-0002-7109-2884,
0000-0002-9365-8017
OpenAlex ID:
A5000622165
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
2015
·
Lipeng Ning
, Frederik Laun
, et al.
·
Medical Image Analysis
·
84
A unified framework for multimodal structure–function mapping based on eigenmodes
2020
·
Samuel Deslauriers-Gauthier
, Mauro Zucchelli
, et al.
·
Medical Image Analysis
·
47
PDF
On the Viability of Diffusion MRI-Based Microstructural Biomarkers in Ischemic Stroke
2018
·
Ilaria Boscolo Galazzo
, Lorenza Brusini
, et al.
·
Frontiers in Neuroscience
·
37
PDF
What lies beneath? Diffusion EAP-based study of brain tissue microstructure
2016
·
Mauro Zucchelli
, Lorenza Brusini
, et al.
·
Medical Image Analysis
·
35
C-link: a hierarchical clustering approach to large-scale near-optimal coalition formation
2013
·
Alessandro Farinelli
, Manuele Bicego
, et al.
·
ePrints Soton (University of Southampton)
·
30
PDF
Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis
2021
·
F Cruciani
, L Brusini
, et al.
·
Journal of Neural Engineering
·
27
A computational Framework for generating rotation invariant features and its application in diffusion MRI
2019
·
Mauro Zucchelli
, Samuel Deslauriers-Gauthier
, et al.
·
Medical Image Analysis
·
26
PDF
Ensemble average propagator-based detection of microstructural alterations after stroke
2016
·
Lorenza Brusini
, Silvia Obertino
, et al.
·
International Journal of Computer Assisted Radiology and Surgery
·
22
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge
2023
·
Gabriel Girard
, Jonathan Rafael-Patiño
, et al.
·
NeuroImage
·
21
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge
2021
·
Alberto De Luca
, Andrada Ianus
, et al.
·
NeuroImage
·
19
DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography
2022
·
Guillaume Theaud
, Manon Edde
, et al.
·
Frontiers in Neuroimaging
·
15
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease
2024
·
Lorenza Brusini
, Federica Cruciani
, et al.
·
IEEE Journal of Translational Engineering in Health and Medicine
·
12
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke
2015
·
Lorenza Brusini
, Silvia Obertino
, et al.
·
Lecture notes in computer science
·
12
From time series to biological network regulations: an evolutionary approach
2012
·
Alberto Castellini
, Mauro Zucchelli
, et al.
·
Molecular BioSystems
·
12
Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition
2015
·
R. H. J. Fick
, M. Zucchelli
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
10
Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias
2020
·
Matteo Frigo
, Rutger H. J. Fick
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
9
A Closed-Form Solution of Rotation Invariant Spherical Harmonic Features in Diffusion MRI
2019
·
Mauro Zucchelli
, Samuel Deslauriers-Gauthier
, et al.
·
Mathematics and visualization
·
9
NODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI
2017
·
Zucchelli, Mauro
, Descoteaux, Maxime
, et al.
·
arXiv (Cornell University)
·
9
PDF
Fluid-Suppressed Amide Proton Transfer-Weighted Imaging Outperforms Leakage-Corrected Dynamic Susceptibility Contrast Perfusion in Distinguishing Progression from Radionecrosis in Brain Metastases
2025
·
Lucia Nichelli
, Stefano Casagranda
, et al.
·
Cancers
·
6
A Riemannian Revisiting of Structure–Function Mapping Based on Eigenmodes
2022
·
Samuel Deslauriers-Gauthier
, Mauro Zucchelli
, et al.
·
Frontiers in Neuroimaging
·
6
PDF
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification
2021
·
Federica Cruciani
, Lorenza Brusini
, et al.
·
Lecture notes in computer science
·
6
A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition
2016
·
R. H. J. Fick
, M. Pizzolato
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
6
The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters
2016
·
M Zucchelli
, M Afzali
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
5
Multi-Tissue Multi-Compartment models of diffusion MRI
2021
·
Matteo Frigo
, Rutger H.J. Fick
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
4
PDF
Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks
2021
·
Mauro Zucchelli
, Samuel Deslauriers-Gauthier
, et al.
·
Lecture notes in computer science
·
4
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Works count:
74
Citation count:
513
H-index:
12
I10-index:
15
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