Federica Cruciani

According to our database, Federica Cruciani authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer's Disease.

Federica Cruciani, Antonino Aparo, Lorenza Brusini, Carlo Combi, Silvia Francesca Storti, Rosalba Giugno, Gloria Menegaz, Ilaria Boscolo Galazzo

J. Biomed. Informatics, January, 2024

Multimodal MRI-based Detection of Amyloid Status in Alzheimer's Disease Continuum.

Giorgio Dolci, Charles A. Ellis, Federica Cruciani, Lorenza Brusini, Anees Abrol, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun

CoRR, 2024

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.

Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun

CoRR, 2024

Diffusion MRI Allows Capturing the Amyloid-β and τ Proteins Status in Alzheimer's Disease Continuum.

Giorgio Dolci, Federica Cruciani, Lorenza Brusini, Lorenzo Pini, Ilaria Boscolo Galazzo, Vince D. Calhoun, Gloria Menegaz

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients.

Marialuisa Gandolfi, Ilaria Boscolo Galazzo, Rudy Gasparin Pavan, Federica Cruciani, Nicola Valè, Alessandro Picelli, Silvia Francesca Storti, Nicola Smania, Gloria Menegaz

IEEE J. Biomed. Health Informatics, 2023

Objective Assessment of the Bias Introduced by Baseline Signals in XAI Attribution Methods.

Giorgio Dolci, Federica Cruciani, Ilaria Boscolo Galazzo, Vince D. Calhoun, Gloria Menegaz

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data.

Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges.

Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. A. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz

IEEE Signal Process. Mag., 2022

Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods.

Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Petia Radeva

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

What PLS can still do for Imaging Genetics in Alzheimer's disease.

Federica Cruciani, André Altmann, Marco Lorenzi, Gloria Menegaz, Ilaria Boscolo Galazzo

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis.

Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Marco Pitteri, Silvia Francesca Storti, Massimiliano Calabrese, Marco Lorenzi, Gloria Menegaz

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment.

Heba Elshatoury, Federica Cruciani, Francesco Zumerle, Silvia Francesca Storti, André Altmann, Marco Lorenzi, Gholamreza Anbarjafari, Gloria Menegaz, Ilaria Boscolo Galazzo

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Explainable 3D-CNN for Multiple Sclerosis Patients Stratification.

Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis.

Lorenza Brusini, Ilaria Boscolo Galazzo, Muge Akinci, Federica Cruciani, Marco Pitteri, Stefano Ziccardi, Albulena Bajrami, Marco Castellaro, Ahmed M. A. Salih, Francesca B. Pizzini, Jorge Jovicich, Massimiliano Calabrese, Gloria Menegaz

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Can Single Shell Diffusion MRI Detect Synaptic Plasticity in Mice?

Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Alberto Galbusera, Mirta Borin, Giovanna Paolone, Giovanni Diana, Mario Buffelli, Alessandro Gozzi, Gloria Menegaz

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019