| 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 | 40 | 2018 |
| 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 | 36 | 2016 |
| A systematic review on motor-imagery brain-connectivity-based computer interfaces L Brusini, F Stival, F Setti, E Menegatti, G Menegaz, SF Storti IEEE Transactions on Human-Machine Systems 51 (6), 725-733, 2021 | 28 | 2021 |
| 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 | 27 | 2016 |
| Monte Carlo simulations of water exchange through myelin wraps: implications for diffusion MRI L Brusini, G Menegaz, M Nilsson IEEE transactions on medical imaging 38 (6), 1438-1445, 2019 | 24 | 2019 |
| Explainable artificial intelligence for magnetic resonance imaging aging brainprints: Grounds and challenges IB Galazzo, F Cruciani, L Brusini, A Salih, P Radeva, SF Storti, ... IEEE Signal Processing Magazine 39 (2), 99-116, 2022 | 22 | 2022 |
| 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 | 17 | 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 |
| Investigating explainable artificial intelligence for mri-based classification of dementia: a new stability criterion for explainable methods A Salih, IB Galazzo, F Cruciani, L Brusini, P Radeva 2022 IEEE International Conference on Image Processing (ICIP), 4003-4007, 2022 | 8 | 2022 |
| Multivariate data analysis suggests the link between brain microstructure and cognitive impairment in multiple sclerosis L Brusini, F Cruciani, IB Galazzo, M Pitteri, SF Storti, M Calabrese, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 685-688, 2021 | 7 | 2021 |
| Unraveling the MRI‐Based Microstructural Signatures Behind Primary Progressive and Relapsing–Remitting Multiple Sclerosis Phenotypes I Boscolo Galazzo, L Brusini, M Akinci, F Cruciani, M Pitteri, S Ziccardi, ... Journal of Magnetic Resonance Imaging 55 (1), 154-163, 2022 | 6 | 2022 |
| Microstructural MRI correlates of cognitive impairment in multiple sclerosis: The role of deep gray matter M Pitteri, IB Galazzo, L Brusini, F Cruciani, C Dapor, D Marastoni, ... Diagnostics 11 (6), 1103, 2021 | 5 | 2021 |
| 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 | 4 | 2021 |
| Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation GR Pinheiro, L Brusini, A Bajrami, FB Pizzini, M Calabrese, F Reis, ... Medical Imaging 2021: Image Processing 11596, 692-698, 2021 | 3 | 2021 |
| Shore-based biomarkers allow patient versus control classification in stroke S Obertino, L Brusini, IB Galazzo, M Zucchelli, C Granziera, M Cristani, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1097-1100, 2016 | 3 | 2016 |
| 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 | 2 | 2023 |
| Motor-imagery EEG signal decoding using multichannel-empirical wavelet transform for brain computer interfaces I Siviero, L Brusini, G Menegaz, SF Storti 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 2 | 2022 |
| Microstructural modulations in the hippocampus allow to characterizing relapsing-remitting versus primary progressive multiple sclerosis L Brusini, I Boscolo Galazzo, M Akinci, F Cruciani, M Pitteri, S Ziccardi, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 2 | 2021 |
| Assessing tissue heterogeneity by non-Gaussian measures in a permeable environment L Brusini, G Menegaz, M Nilsson 2018 26th European Signal Processing Conference (EUSIPCO), 1147-1151, 2018 | 2 | 2018 |
| 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 | 2 | 2016 |
