| 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 | 103 | 2015 |
| On the viability of diffusion MRI-based microstructural biomarkers in ischemic stroke I Boscolo Galazzo, L Brusini, S Obertino, M Zucchelli, C Granziera, ... Frontiers in neuroscience 12, 92, 2018 | 48 | 2018 |
| 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 | 44 | 2020 |
| What lies beneath? Diffusion EAP-based study of brain tissue microstructure M Zucchelli, L Brusini, CA Méndez, A Daducci, C Granziera, G Menegaz Medical image analysis 32, 145-156, 2016 | 43 | 2016 |
| C-link: A hierarchical clustering approach to large-scale near-optimal coalition formation A Farinelli, M Bicego, S Ramchurn, M Zuchelli | 43 | 2013 |
| 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 | 32 | 2020 |
| Ensemble average propagator-based detection of microstructural alterations after stroke L Brusini, S Obertino, IB Galazzo, M Zucchelli, G Krueger, C Granziera, ... International journal of computer assisted radiology and surgery 11, 1585-1597, 2016 | 28 | 2016 |
| 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 | 23 | 2021 |
| 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 | 18 | 2021 |
| Assessment of mean apparent propagator-based indices as biomarkers of axonal remodeling after stroke L Brusini, S Obertino, M Zucchelli, IB Galazzo, G Krueger, C Granziera, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 14 | 2015 |
| 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 | 13 | 2019 |
| 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 | 13 | 2015 |
| From time series to biological network regulations: an evolutionary approach A Castellini, M Zucchelli, M Busato, V Manca Molecular BioSystems 9 (2), 225-233, 2013 | 13 | 2013 |
| A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition RHJ Fick, M Pizzolato, D Wassermann, M Zucchelli, G Menegaz, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1241-1244, 2016 | 11 | 2016 |
| 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 | 9 | 2020 |
| 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 | 8 | 2022 |
| 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 | 7 | 2021 |
| NODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI M Zucchelli, M Descoteaux, G Menegaz arXiv preprint arXiv:1708.08999, 2017 | 7 | 2017 |
| 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 | 6 | 2023 |
| 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 | 5 | 2023 |