Artykuły udostępnione publicznie: - Mauro ZucchelliWięcej informacji
Niedostępne w żadnym miejscu: 5
Explainable 3D-CNN for multiple sclerosis patients stratification
F Cruciani, L Brusini, M Zucchelli, G Retuci Pinheiro, F Setti, ...
International Conference on Pattern Recognition, 103-114, 2021
Upoważnienia: European Commission, Agence Nationale de la Recherche
Explainable deep learning for decrypting disease signatures in multiple sclerosis
F Cruciani, L Brusini, M Zucchelli, GR Pinheiro, F Setti, R Deriche, ...
Explainable Deep Learning AI, 97-123, 2023
Upoważnienia: European Commission, Agence Nationale de la Recherche
Ensemble average propagator estimation of axon diameter in diffusion MRI: implications and limitations
M Zucchelli, RHJ Fick, R Deriche, G Menegaz
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 465-468, 2016
Upoważnienia: US National Institutes of Health
The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters
M Zucchelli, M Afzali, C Yolcu, CF Westin, G Menegaz, E Özarslan
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1093-1096, 2016
Upoważnienia: US National Institutes of Health
Multi-tensor mapmri: how to estimate microstructural information from crossing fibers
M Zucchelli, L Brusini, CA Méndez, G Menegaz
Computational Diffusion MRI: MICCAI Workshop, Munich, Germany, October 9th …, 2016
Upoważnienia: US National Institutes of Health
Dostępne w jakimś miejscu: 19
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
L Ning, F Laun, Y Gur, EVR DiBella, S Deslauriers-Gauthier, T Megherbi, ...
Medical image analysis 26 (1), 316-331, 2015
Upoważnienia: US National Institutes of Health
A unified framework for multimodal structure–function mapping based on eigenmodes
S Deslauriers-Gauthier, M Zucchelli, M Frigo, R Deriche
Medical Image Analysis 66, 101799, 2020
Upoważnienia: US National Institutes of Health, European Commission
A computational framework for generating rotation invariant features and its application in diffusion MRI
M Zucchelli, S Deslauriers-Gauthier, R Deriche
Medical image analysis 60, 101597, 2020
Upoważnienia: US National Institutes of Health, European Commission
Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis
F Cruciani, L Brusini, M Zucchelli, GR Pinheiro, F Setti, IB Galazzo, ...
Journal of Neural Engineering 18 (4), 0460a6, 2021
Upoważnienia: European Commission, Agence Nationale de la Recherche
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge
A De Luca, A Ianus, A Leemans, M Palombo, N Shemesh, H Zhang, ...
NeuroImage 240, 118367, 2021
Upoważnienia: US National Institutes of Health, Research Foundation (Flanders), UK …
Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition
RHJ Fick, M Zucchelli, G Girard, M Descoteaux, G Menegaz, R Deriche
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 436-439, 2015
Upoważnienia: US National Institutes of Health
A closed-form solution of rotation invariant spherical harmonic features in diffusion MRI
M Zucchelli, S Deslauriers-Gauthier, R Deriche
Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019
Upoważnienia: US National Institutes of Health, European Commission
DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography
G Theaud, M Edde, M Dumont, C Zotti, M Zucchelli, ...
Frontiers in Neuroimaging 1, 917806, 2022
Upoważnienia: US Department of Defense, US National Institutes of Health, Canadian …
Multi tissue modelling of diffusion MRI signal reveals volume fraction bias
M Frigo, RHJ Fick, M Zucchelli, S Deslauriers-Gauthier, R Deriche
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 991-994, 2020
Upoważnienia: US National Institutes of Health, European Commission
A Riemannian revisiting of structure–function mapping based on eigenmodes
S Deslauriers-Gauthier, M Zucchelli, H Laghrissi, R Deriche
Frontiers in Neuroimaging 1, 850266, 2022
Upoważnienia: European Commission, Agence Nationale de la Recherche
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge
G Girard, J Rafael-Patiño, R Truffet, DB Aydogan, N Adluru, VA Nair, ...
NeuroImage 277, 120231, 2023
Upoważnienia: Swiss National Science Foundation, US National Institutes of Health …
Multi-Tissue Multi-Compartment Models of Diffusion MRI
M Frigo, RHJ Fick, M Zucchelli, S Deslauriers-Gauthier, R Deriche
bioRxiv, 2021.01. 29.428843, 2021
Upoważnienia: US National Institutes of Health, European Commission, Agence Nationale de …
CNN and diffusion MRI’s 4th degree rotational invariants for Alzheimer’s disease identification
AM Bouayed, S Deslauriers-Gauthier, M Zucchelli, R Deriche
Fourth International Workshop on Learning with Imbalanced Domains: Theory …, 2022
Upoważnienia: US Department of Defense, US National Institutes of Health, Canadian …
Investigating the effect of DMRI signal representation on fully-connected neural networks brain tissue microstructure estimation
M Zucchelli, S Deslauriers-Gauthier, R Deriche
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 725-728, 2021
Upoważnienia: US National Institutes of Health, European Commission, Agence Nationale de …
Brain tissue microstructure characterization using dMRI based autoencoder neural-networks
M Zucchelli, S Deslauriers-Gauthier, R Deriche
Computational Diffusion MRI: 12th International Workshop, CDMRI 2021, Held …, 2021
Upoważnienia: US National Institutes of Health, European Commission, Agence Nationale de …
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