| 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 | 25 | 2022 |
| eXplainable AI allows predicting upper limb rehabilitation outcomes in sub-acute stroke patients M Gandolfi, IB Galazzo, RG Pavan, F Cruciani, N Vale, A Picelli, SF Storti, ... IEEE Journal of Biomedical and Health Informatics 27 (1), 263-273, 2022 | 20 | 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 | 19 | 2021 |
| 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 | 12 | 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 | 8 | 2021 |
| 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 |
| What PLS can still do for Imaging Genetics in Alzheimer's disease F Cruciani, A Altmann, M Lorenzi, G Menegaz, IB Galazzo 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 5 | 2022 |
| Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment H Elshatoury, F Cruciani, F Zumerle, SF Storti, A Altmann, M Lorenzi, ... 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 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 |
| Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease F Cruciani, A Aparo, L Brusini, C Combi, SF Storti, R Giugno, G Menegaz, ... Journal of Biomedical Informatics 149, 104569, 2024 | 2 | 2024 |
| Objective assessment of the bias introduced by baseline signals in XAI attribution methods G Dolci, F Cruciani, IB Galazzo, VD Calhoun, G Menegaz 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | 2 | 2023 |
| Deep Generative Transfer Learning Predicts Conversion To Alzheimer’S Disease From Neuroimaging Genomics Data G Dolci, MA Rahaman, IB Galazzo, F Cruciani, A Abrol, J Chen, Z Fu, ... 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 2 | 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 | 2 | 2023 |
| 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 |
| An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease G Dolci, F Cruciani, MA Rahaman, A Abrol, J Chen, Z Fu, IB Galazzo, ... arXiv preprint arXiv:2406.13292, 2024 | 1 | 2024 |
| Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum G Dolci, CA Ellis, F Cruciani, L Brusini, A Abrol, IB Galazzo, G Menegaz, ... arXiv preprint arXiv:2406.13305, 2024 | 1 | 2024 |
| Exploring the potential of MCVAE for patients stratification and skewed data compensation across the AD continuum F Cruciani, E Cinquetti, L Brusini, A Aparo, C Combi, I Boscolo Galazzo, ... EIGHTH NATIONAL CONGRESS OF BIOENGINEERING Proceedings, 1-4, 2023 | 1 | 2023 |
| XAI-Based Assessment of the AMURA Model for Detecting Amyloid–β and Tau Microstructural Signatures in Alzheimer’s Disease L Brusini, F Cruciani, G Dall’Aglio, T Zajac, IB Galazzo, M Zucchelli, ... IEEE Journal of Translational Engineering in Health and Medicine, 2024 | | 2024 |
| Decoding the interplay between brain structural and functional connectivity in Alzheimer’s disease. F Virginia, E Paolini, F Cruciani, L Brusini, F Dal Santo, G Menegaz, ... EIGHTH NATIONAL CONGRESS OF BIOENGINEERING Proceedings, 1-4, 2023 | | 2023 |
