TAFURI, BENEDETTA
TAFURI, BENEDETTA
DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE
A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study
2021-01-01 Amodeo, I.; De Nunzio, G.; Raffaeli, G.; Borzani, I.; Griggio, A.; Conte, L.; Macchini, F.; Condo, V.; Persico, N.; Fabietti, I.; Ghirardello, S.; Pierro, M.; Tafuri, B.; Como, G.; Cascio, D.; Colnaghi, M.; Mosca, F.; Cavallaro, G.
A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics
2022-01-01 Pantaleo, E.; Monaco, A.; Amoroso, N.; Lombardi, A.; Bellantuono, L.; Urso, D.; Giudice, C. L.; Picardi, E.; Tafuri, B.; Nigro, S.; Pesole, G.; Tangaro, S.; Logroscino, G.; Bellotti, R.
Actigraphy validation in behavioral variant frontotemporal dementia
2025-01-01 Tamburrino, L.; Tafuri, B.; Gnoni, V.; Nigro, S.; Giugno, A.; Urso, D.; Zoccolella, S.; Filardi, M.; Logroscino, G.
Altered structural brain networks in linguistic variants of frontotemporal dementia
2021-01-01 Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo
Artificial Neural Networks (ANN) for automatic detection of dendritic-shaped cancer cells of cutaneous melanoma in Reflectance Confocal Microscopy (RCM) images
2019-01-01 DE NUNZIO, Giorgio; Conte, Luana; Federico, Massimo; Farnetani, Francesca; Maffia, Michele; Tafuri, Benedetta; Pellacani, Giovanni
Asymmetry of radiomics features in the white matter of patients with primary progressive aphasia
2023-01-01 Tafuri, B.; Filardi, M.; Urso, D.; Gnoni, V.; De Blasi, R.; Nigro, S.; Logroscino, G.
Behavioral variant frontotemporal dementia in patients with primary psychiatric disorder: A magnetic resonance imaging study
2023-01-01 Tafuri, B.; Filardi, M.; Frisullo, M. E.; De Blasi, R.; Rizzo, G.; Nigro, S.; Logroscino, G.
Brain Structural Covariance Networks in Behavioral Variant of Frontotemporal Dementia
2021-01-01 Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Frisullo, Maria Elisa; Barulli, Maria Rosaria; Capozzo, Rosa; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo
Breast cancer mass detection in dce-mri using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach
2020-01-01 Conte, L.; Tafuri, B.; Portaluri, M.; Galiano, A.; Maggiulli, E.; De Nunzio, G.
Cortical signature of depressive symptoms in frontotemporal dementia: A surface-based analysis
2023-01-01 Ghirelli, A.; Tafuri, B.; Urso, D.; Milella, G.; De Blasi, R.; Nigro, S.; Logroscino, G.
Deep Learning–based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy
2024-01-01 Nigro, S.; Filardi, M.; Tafuri, B.; Nicolardi, M.; De Blasi, R.; Giugno, A.; Gnoni, V.; Milella, G.; Urso, D.; Zoccolella, S.; Logroscino, G.
Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources
2022-01-01 Di Benedetto, M.; Carrara, F.; Tafuri, B.; Nigro, S.; De Blasi, R.; Falchi, F.; Gennaro, C.; Gigli, G.; Logroscino, G.; Amato, G.
Explainable machine learning radiomics model for Primary Progressive Aphasia classification
2024-01-01 Tafuri, B.; De Blasi, R.; Nigro, S.; Logroscino, G.
Grey-matter correlates of empathy in 4-Repeat Tauopathies
2023-01-01 Tafuri, B.; Urso, D.; Nigro, S.; Macchitella, L.; De Blasi, R.; Ray Chaudhuri, K.; Logroscino, G.
Ictal 18F-FDG PET/MRI in a patient with cortical heterotopia and focal epilepsy
2017-01-01 Calabria, F. F.; Cascini, G. L.; Gambardella, A.; Labate, A.; Cherubini, A.; Gulla, D.; Tafuri, B.; Sabatini, U.; Vescio, V.; Quattrone, A.
Imaging correlates of depression in progressive supranuclear palsy
2022-01-01 Urso, D.; Tafuri, B.; De Blasi, R.; Nigro, S.; Logroscino, G.
Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis
2024-01-01 Tafuri, B.; Milella, G.; Filardi, M.; Giugno, A.; Zoccolella, S.; Tamburrino, L.; Gnoni, V.; Urso, D.; De Blasi, R.; Nigro, S.; Logroscino, G.
Magnetic Resonance Parkinsonism Index Is Associated with REM Sleep Behavior Disorder in Parkinson’s Disease
2022-01-01 Urso, D.; Nigro, S.; Tafuri, B.; Gnoni, V.; Filardi, M.; De Blasi, R.; Chaudhuri, K. R.; Logroscino, G.
Mapping lower-limbs muscle vulnerability in patients with ALS: The role of upper and lower motor neurons
2024-01-01 Milella, Giammarco; Zoccolella, Stefano; Giugno, Alessia; Filardi, Marco; D'Errico, Eustachio; Piccirilli, Glauco; Nanni, Alfredo Gabriele; Urso, Daniele; Nigro, Salvatore; Tafuri, Benedetta; Tamburrino, Ludovica; Gnoni, Valentina; Logroscino, Giancarlo
Neuroimaging Findings in a Patient with Anti-IgLON5 Disease: Cerebrospinal Fluid Dynamics Abnormalities
2022-01-01 Urso, D.; De Blasi, R.; Anastasia, A.; Gnoni, V.; Rizzo, V.; Nigro, S.; Tafuri, B.; Iacolucci, C. M.; Zecca, C.; Dell'Abate, M. T.; Andreetta, F.; Logroscino, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study | 1-gen-2021 | Amodeo, I.; De Nunzio, G.; Raffaeli, G.; Borzani, I.; Griggio, A.; Conte, L.; Macchini, F.; Condo, V.; Persico, N.; Fabietti, I.; Ghirardello, S.; Pierro, M.; Tafuri, B.; Como, G.; Cascio, D.; Colnaghi, M.; Mosca, F.; Cavallaro, G. | |
| A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics | 1-gen-2022 | Pantaleo, E.; Monaco, A.; Amoroso, N.; Lombardi, A.; Bellantuono, L.; Urso, D.; Giudice, C. L.; Picardi, E.; Tafuri, B.; Nigro, S.; Pesole, G.; Tangaro, S.; Logroscino, G.; Bellotti, R. | |
| Actigraphy validation in behavioral variant frontotemporal dementia | 1-gen-2025 | Tamburrino, L.; Tafuri, B.; Gnoni, V.; Nigro, S.; Giugno, A.; Urso, D.; Zoccolella, S.; Filardi, M.; Logroscino, G. | |
| Altered structural brain networks in linguistic variants of frontotemporal dementia | 1-gen-2021 | Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo | |
| Artificial Neural Networks (ANN) for automatic detection of dendritic-shaped cancer cells of cutaneous melanoma in Reflectance Confocal Microscopy (RCM) images | 1-gen-2019 | DE NUNZIO, Giorgio; Conte, Luana; Federico, Massimo; Farnetani, Francesca; Maffia, Michele; Tafuri, Benedetta; Pellacani, Giovanni | |
| Asymmetry of radiomics features in the white matter of patients with primary progressive aphasia | 1-gen-2023 | Tafuri, B.; Filardi, M.; Urso, D.; Gnoni, V.; De Blasi, R.; Nigro, S.; Logroscino, G. | |
| Behavioral variant frontotemporal dementia in patients with primary psychiatric disorder: A magnetic resonance imaging study | 1-gen-2023 | Tafuri, B.; Filardi, M.; Frisullo, M. E.; De Blasi, R.; Rizzo, G.; Nigro, S.; Logroscino, G. | |
| Brain Structural Covariance Networks in Behavioral Variant of Frontotemporal Dementia | 1-gen-2021 | Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Frisullo, Maria Elisa; Barulli, Maria Rosaria; Capozzo, Rosa; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo | |
| Breast cancer mass detection in dce-mri using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach | 1-gen-2020 | Conte, L.; Tafuri, B.; Portaluri, M.; Galiano, A.; Maggiulli, E.; De Nunzio, G. | |
| Cortical signature of depressive symptoms in frontotemporal dementia: A surface-based analysis | 1-gen-2023 | Ghirelli, A.; Tafuri, B.; Urso, D.; Milella, G.; De Blasi, R.; Nigro, S.; Logroscino, G. | |
| Deep Learning–based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy | 1-gen-2024 | Nigro, S.; Filardi, M.; Tafuri, B.; Nicolardi, M.; De Blasi, R.; Giugno, A.; Gnoni, V.; Milella, G.; Urso, D.; Zoccolella, S.; Logroscino, G. | |
| Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources | 1-gen-2022 | Di Benedetto, M.; Carrara, F.; Tafuri, B.; Nigro, S.; De Blasi, R.; Falchi, F.; Gennaro, C.; Gigli, G.; Logroscino, G.; Amato, G. | |
| Explainable machine learning radiomics model for Primary Progressive Aphasia classification | 1-gen-2024 | Tafuri, B.; De Blasi, R.; Nigro, S.; Logroscino, G. | |
| Grey-matter correlates of empathy in 4-Repeat Tauopathies | 1-gen-2023 | Tafuri, B.; Urso, D.; Nigro, S.; Macchitella, L.; De Blasi, R.; Ray Chaudhuri, K.; Logroscino, G. | |
| Ictal 18F-FDG PET/MRI in a patient with cortical heterotopia and focal epilepsy | 1-gen-2017 | Calabria, F. F.; Cascini, G. L.; Gambardella, A.; Labate, A.; Cherubini, A.; Gulla, D.; Tafuri, B.; Sabatini, U.; Vescio, V.; Quattrone, A. | |
| Imaging correlates of depression in progressive supranuclear palsy | 1-gen-2022 | Urso, D.; Tafuri, B.; De Blasi, R.; Nigro, S.; Logroscino, G. | |
| Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis | 1-gen-2024 | Tafuri, B.; Milella, G.; Filardi, M.; Giugno, A.; Zoccolella, S.; Tamburrino, L.; Gnoni, V.; Urso, D.; De Blasi, R.; Nigro, S.; Logroscino, G. | |
| Magnetic Resonance Parkinsonism Index Is Associated with REM Sleep Behavior Disorder in Parkinson’s Disease | 1-gen-2022 | Urso, D.; Nigro, S.; Tafuri, B.; Gnoni, V.; Filardi, M.; De Blasi, R.; Chaudhuri, K. R.; Logroscino, G. | |
| Mapping lower-limbs muscle vulnerability in patients with ALS: The role of upper and lower motor neurons | 1-gen-2024 | Milella, Giammarco; Zoccolella, Stefano; Giugno, Alessia; Filardi, Marco; D'Errico, Eustachio; Piccirilli, Glauco; Nanni, Alfredo Gabriele; Urso, Daniele; Nigro, Salvatore; Tafuri, Benedetta; Tamburrino, Ludovica; Gnoni, Valentina; Logroscino, Giancarlo | |
| Neuroimaging Findings in a Patient with Anti-IgLON5 Disease: Cerebrospinal Fluid Dynamics Abnormalities | 1-gen-2022 | Urso, D.; De Blasi, R.; Anastasia, A.; Gnoni, V.; Rizzo, V.; Nigro, S.; Tafuri, B.; Iacolucci, C. M.; Zecca, C.; Dell'Abate, M. T.; Andreetta, F.; Logroscino, G. |