CRUCIANI, FEDERICA
CRUCIANI, FEDERICA
DIPARTIMENTO DI INGEGNERIA PER LA MEDICINA DI INNOVAZIONE
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease
2024-01-01 Dolci, Giorgio; Cruciani, Federica; Rahaman, Md Abdur; Abrol, Anees; Chen, Jiayu; Fu, Zening; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D
eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients
2023-01-01 Gandolfi, Marialuisa; BOSCOLO GALAZZO, Ilaria; GASPARIN PAVAN, Rudy; Cruciani, Federica; Vale, Nicola; Picelli, Alessandro; Storti, Silvia Francesca; Smania, Nicola; Menegaz, Gloria
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges
2022-01-01 Boscolo Galazzo, Ilaria; Cruciani, Federica; Brusini, Lorenza; Salih, Ahmed; Radeva, Petia; Storti, Silvia Francesca; Menegaz, Gloria
Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease
2024-01-01 Cruciani, Federica; Aparo, Antonino; Brusini, Lorenza; Combi, Carlo; Storti, Silvia F.; Giugno, Rosalba; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria
Interpretable Deep Learning as a means for decrypting disease signature in Multiple Sclerosis
2021-01-01 Cruciani, Federica; Brusini, Lorenza; Zucchelli, Mauro; Retuci Pinheiro, Gustavo; Setti, Francesco; Boscolo Galazzo, Ilaria; Deriche, Rachid; Rittner, Leticia; Calabrese, Massimiliano; Menegaz, Gloria
Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter
2021-01-01 Pitteri, Marco; Galazzo, Ilaria Boscolo; Brusini, Lorenza; Cruciani, Federica; Dapor, Caterina; Marastoni, Damiano; Menegaz, Gloria; Calabrese, Massimiliano
Morphometric Similarity Patterning of Amyloid-β and Tau Proteins Correlates with Transcriptomics in the Alzheimer’s Disease Continuum
2024-01-01 Brusini, Lorenza; Dolci, Giorgio; Pini, Lorenzo; Cruciani, Federica; Pizzagalli, Fabrizio; Provero, Paolo; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria
Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum
2024-01-01 Dolci, Giorgio; Ellis, Charles A.; Cruciani, Federica; Brusini, Lorenza; Abrol, Anees; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D.; Null, Null
Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing-Remitting Multiple Sclerosis Phenotypes
2022-01-01 Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed M A; Pizzini, Francesca B; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria
XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease
2024-01-01 Brusini, Lorenza; Cruciani, Federica; Dall'Aglio, Gabriele; Zajac, Tommaso; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Menegaz, Gloria
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease | 1-gen-2024 | Dolci, Giorgio; Cruciani, Federica; Rahaman, Md Abdur; Abrol, Anees; Chen, Jiayu; Fu, Zening; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D | |
| eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients | 1-gen-2023 | Gandolfi, Marialuisa; BOSCOLO GALAZZO, Ilaria; GASPARIN PAVAN, Rudy; Cruciani, Federica; Vale, Nicola; Picelli, Alessandro; Storti, Silvia Francesca; Smania, Nicola; Menegaz, Gloria | |
| Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges | 1-gen-2022 | Boscolo Galazzo, Ilaria; Cruciani, Federica; Brusini, Lorenza; Salih, Ahmed; Radeva, Petia; Storti, Silvia Francesca; Menegaz, Gloria | |
| Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease | 1-gen-2024 | Cruciani, Federica; Aparo, Antonino; Brusini, Lorenza; Combi, Carlo; Storti, Silvia F.; Giugno, Rosalba; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria | |
| Interpretable Deep Learning as a means for decrypting disease signature in Multiple Sclerosis | 1-gen-2021 | Cruciani, Federica; Brusini, Lorenza; Zucchelli, Mauro; Retuci Pinheiro, Gustavo; Setti, Francesco; Boscolo Galazzo, Ilaria; Deriche, Rachid; Rittner, Leticia; Calabrese, Massimiliano; Menegaz, Gloria | |
| Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter | 1-gen-2021 | Pitteri, Marco; Galazzo, Ilaria Boscolo; Brusini, Lorenza; Cruciani, Federica; Dapor, Caterina; Marastoni, Damiano; Menegaz, Gloria; Calabrese, Massimiliano | |
| Morphometric Similarity Patterning of Amyloid-β and Tau Proteins Correlates with Transcriptomics in the Alzheimer’s Disease Continuum | 1-gen-2024 | Brusini, Lorenza; Dolci, Giorgio; Pini, Lorenzo; Cruciani, Federica; Pizzagalli, Fabrizio; Provero, Paolo; Menegaz, Gloria; BOSCOLO GALAZZO, Ilaria | |
| Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum | 1-gen-2024 | Dolci, Giorgio; Ellis, Charles A.; Cruciani, Federica; Brusini, Lorenza; Abrol, Anees; Galazzo, Ilaria Boscolo; Menegaz, Gloria; Calhoun, Vince D.; Null, Null | |
| Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing-Remitting Multiple Sclerosis Phenotypes | 1-gen-2022 | Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed M A; Pizzini, Francesca B; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria | |
| XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease | 1-gen-2024 | Brusini, Lorenza; Cruciani, Federica; Dall'Aglio, Gabriele; Zajac, Tommaso; Boscolo Galazzo, Ilaria; Zucchelli, Mauro; Menegaz, Gloria |