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Mauro Zucchelli

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2020 – today

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2023
[j8]
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Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023)
2022
[c17]
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Aymene Mohammed Bouayed, Samuel Deslauriers-Gauthier, Mauro Zucchelli, Rachid Deriche:
CNN and diffusion MRI’s 4th degree rotational invariants for Alzheimer’s disease identification. LIDTA 2022: 163-174
2021
[j7]
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Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021)
[c16]
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Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
Investigating The Effect Of Dmri Signal Representation On Fully-Connected Neural Networks Brain Tissue Microstructure Estimation. ISBI 2021: 725-728
[c15]
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Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks. CDMRI@MICCAI 2021: 48-57
2020
[j6]
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Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
A computational Framework for generating rotation invariant features and its application in diffusion MRI. Medical Image Anal. 60 (2020)
[j5]
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Samuel Deslauriers-Gauthier, Mauro Zucchelli, Matteo Frigo, Rachid Deriche:
A unified framework for multimodal structure-function mapping based on eigenmodes. Medical Image Anal. 66: 101799 (2020)
[c14]
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  - conf/icpr/CrucianiBZPSGDR20
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Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz:
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification. ICPR Workshops (3) 2020: 103-114
[c13]
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Matteo Frigo, Rutger Henri Jacques Fick, Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias. ISBI 2020: 991-994

2010 – 2019

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2018
[c12]
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Lorenza Brusini, Ilaria Boscolo Galazzo, Mauro Zucchelli, Cristina Granziera, Gloria Menegaz:
Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM? BrainLes@MICCAI (1) 2018: 464-471
2017
[i1]
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  - journals/corr/abs-1708-08999
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Mauro Zucchelli, Maxime Descoteaux, Gloria Menegaz:
NODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI. CoRR abs/1708.08999 (2017)
2016
[j4]
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  - journals/cars/BrusiniOGZKGM16
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Lorenza Brusini, Silvia Obertino, Ilaria Boscolo Galazzo, Mauro Zucchelli, Gunnar Krueger, Cristina Granziera, Gloria Menegaz:
Ensemble average propagator-based detection of microstructural alterations after stroke. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1585-1597 (2016)
[j3]
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Mauro Zucchelli, Lorenza Brusini, Carlos Andres Mendez, Alessandro Daducci, Cristina Granziera, Gloria Menegaz:
What lies beneath? Diffusion EAP-based study of brain tissue microstructure. Medical Image Anal. 32: 145-156 (2016)
[c11]
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Mauro Zucchelli, Rutger Henri Jacques Fick, Rachid Deriche, Gloria Menegaz:
Ensemble average propagator estimation of axon diameter in diffusion MRI: Implications and limitations. ISBI 2016: 465-468
[c10]
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Mauro Zucchelli, Maryam Afzali, Cem Yolcu, Carl-Fredrik Westin, Gloria Menegaz, Evren Özarslan:
The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters. ISBI 2016: 1093-1096
[c9]
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Silvia Obertino, Lorenza Brusini, Ilaria Boscolo Galazzo, Mauro Zucchelli, Cristina Granziera, Marco Cristani, Gloria Menegaz:
Shore-based biomarkers allow patient versus control classification in stroke. ISBI 2016: 1097-1100
[c8]
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Rutger Henri Jacques Fick, Marco Pizzolato, Demian Wassermann, Mauro Zucchelli, Gloria Menegaz, Rachid Deriche:
A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition. ISBI 2016: 1241-1244
2015
[j2]
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Lipeng Ning, Frederik B. Laun, Yaniv Gur, Edward V. R. DiBella, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli, Gloria Menegaz, Rutger Fick, Samuel St-Jean, Michael Paquette, Ramón Aranda, Maxime Descoteaux, Rachid Deriche, Lauren O'Donnell, Yogesh Rathi:
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. 26(1): 316-331 (2015)
[j1]
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Alberto Castellini, Vincenzo Manca, Mauro Zucchelli:
An evolutionary procedure for inferring MP systems regulation functions of biological networks. Nat. Comput. 14(3): 375-391 (2015)
[c7]
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Rutger Henri Jacques Fick, Mauro Zucchelli, Gabriel Girard, Maxime Descoteaux, Gloria Menegaz, Rachid Deriche:
Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition. ISBI 2015: 436-439
[c6]
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Lorenza Brusini, Silvia Obertino, Mauro Zucchelli, Ilaria Boscolo Galazzo, Gunnar Krueger, Cristina Granziera, Gloria Menegaz:
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke. MICCAI (1) 2015: 199-206
2014
[c5]
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Lorenza Brusini, Mauro Zucchelli, Cristina Granziera, Gloria Menegaz:
Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data. ICHI 2014: 373
[c4]
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Francesca Zerbato, Sehresh Khan, Mauro Zucchelli, C. Andres Mendez, Cristina Granziera, Gloria Menegaz:
Diffusion MRI Compartmental Model Analysis of DSI Data. ICHI 2014: 374
2013
[c3]
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  - conf/ijcai/FarinelliBRZ13
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Alessandro Farinelli, Manuele Bicego, Sarvapali D. Ramchurn, Mauro Zucchelli:
C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. IJCAI 2013: 106-112
2012
[c2]
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  - conf/gecco/CastelliniMZB12
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Alberto Castellini, Vincenzo Manca, Mauro Zucchelli, Mirko Busato:
A genetic approach for synthesizing metabolic models from time series. GECCO (Companion) 2012: 1415-1416
[c1]
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Alberto Castellini, Vincenzo Manca, Mauro Zucchelli:
Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks. ICARIS 2012: 271-285

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