F. Cruciani

发表

Impact of a synbiotic food on the gut microbial ecology and metabolic profiles

Beatrice Vitali, Paola Carnevali, Maria Elisabetta Guerzoni, 2010, BMC Microbiology.

Dietary supplementation with probiotics during late pregnancy: outcome on vaginal microbiota and cytokine secretion

S. Turroni, P. Brigidi, M. Candela, 2012, BMC Microbiology.

B. Vitali, F. Cruciani, Xiaodi Guo, 1932 .

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

A. Altmann, Marco Lorenzi, G. Menegaz, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Mucoadhesive chitosan/gelatin films for buccal delivery of propranolol hydrochloride.

B. Luppi, F. Bigucci, T. Cerchiara, 2012, Carbohydrate polymers.

Development of microparticulate systems for intestinal delivery of Lactobacillus acidophilus and Bifidobacterium lactis.

P. Brigidi, B. Vitali, N. Passerini, 2010, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Vaginal microbiome and metabolome highlight specific signatures of bacterial vaginosis

G. Picone, L. Laghi, C. Parolin, 2015, European Journal of Clinical Microbiology & Infectious Diseases.

Unraveling the MRI‐Based Microstructural Signatures Behind Primary Progressive and Relapsing–Remitting Multiple Sclerosis Phenotypes

J. Jovicich, M. Calabrese, G. Menegaz, 2021, Journal of magnetic resonance imaging : JMRI.

Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter

M. Calabrese, G. Menegaz, Marco Pitteri, 2021, Diagnostics.

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

Gloria Menegaz, Massimiliano Calabrese, Marco Lorenzi, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis

R. Deriche, M. Calabrese, G. Menegaz, 2021, Journal of neural engineering.

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

J. Jovicich, M. Calabrese, G. Menegaz, 2020, BrainLes@MICCAI.

Development of a Microarray-Based Tool To Characterize Vaginal Bacterial Fluctuations and Application to a Novel Antibiotic Treatment for Bacterial Vaginosis

C. Consolandi, M. Severgnini, P. Brigidi, 2015, Antimicrobial Agents and Chemotherapy.

Vaginal microbiome and metabolome highlight specific signatures of bacterial vaginosis

G. Picone, C. Parolin, B. Vitali, 2015, European Journal of Clinical Microbiology & Infectious Diseases.

Rifaximin Modulates the Vaginal Microbiome and Metabolome in Women Affected by Bacterial Vaginosis

P. Brigidi, G. Picone, F. Capozzi, 2014, Antimicrobial Agents and Chemotherapy.

Efficacy of Rifaximin Vaginal Tablets in Treatment of Bacterial Vaginosis: a Molecular Characterization of the Vaginal Microbiota

P. Brigidi, B. Vitali, K. Peters, 2012, Antimicrobial Agents and Chemotherapy.

Explainable 3D-CNN for Multiple Sclerosis Patients Stratification

R. Deriche, M. Calabrese, G. Menegaz, 2020, ICPR Workshops.

Chitosan/alginate complexes for vaginal delivery of chlorhexidine digluconate.

B. Luppi, F. Bigucci, T. Cerchiara, 2013, Carbohydrate polymers.

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

N. Smania, S. Storti, G. Menegaz, 2023, IEEE Journal of Biomedical and Health Informatics.

Proteome profiles of vaginal fluids from women affected by bacterial vaginosis and healthy controls: outcomes of rifaximin treatment.

S. Turroni, P. Brigidi, B. Vitali, 2013, The Journal of antimicrobial chemotherapy.

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

Ahmed M. A. Salih, P. Radeva, S. Storti, 2022, IEEE Signal Processing Magazine.

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

Gholamreza Anbarjafari, Gloria Menegaz, Marco Lorenzi, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

Impact of a synbiotic food on the gut microbial ecology and metabolic profiles

P. Brigidi, M. Candela, P. Carnevali, 2010, BMC Microbiology.

Development of microparticulate systems for intestinal delivery of Lactobacillus acidophilus and Bifidobacterium lactis.

P. Brigidi, B. Vitali, N. Passerini, 2010, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Impact of a synbiotic food on the gut microbial ecology and metabolic profiles

P. Brigidi, M. Candela, P. Carnevali, 2010, BMC Microbiology.

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

Jiayu Chen, Z. Fu, K. Duan, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

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

S. Storti, L. Brusini, F. Cruciani, 2023, Journal of biomedical informatics.

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

N. Smania, S. Storti, A. Picelli, 2022, IEEE Journal of Biomedical and Health Informatics.

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

A. Abrol, Giorgio Dolci, L. Brusini, 2024, ArXiv.

Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis

R. Deriche, M. Calabrese, G. Menegaz, 2021, Journal of neural engineering.

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

Z. Fu, A. Abrol, Giorgio Dolci, 2024, ArXiv.