MONACO, ALFONSO
MONACO, ALFONSO
DIPARTIMENTO INTERATENEO DI FISICA
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis
2018-01-01 Losurdo, Liliana; Fanizzi, Annarita; Basile, Teresa M. A.; Bellotti, Roberto; Bottigli, Ubaldo; Dentamaro, Rosalba; Didonna, Vittorio; Fausto, Alfonso; Massafra, Raffaella; Monaco, Alfonso; Moschetta, Marco; Popescu, Ondina; Tamborra, Pasquale; Tangaro, Sabina; La Forgia, Daniele
A complex network approach reveals pivotal sub-structure of genes linked to Schizophrenia
2018-01-01 Monaco, Alfonso; Monda, Anna; Amoroso, Nicola; Bertolino, Alessandro; Blasi, Giuseppe; DI CARLO, Pasquale; Papalino, Marco; Pergola, Giulio; Tangaro, Sabina; Bellotti, Roberto
A Machine Learning Approach to Parkinson's Disease Blood Transcriptomics
2022-01-01 Pantaleo, Ester; Monaco, Alfonso; Amoroso, Nicola; Lombardi, Angela; Bellantuono, Loredana; Urso, Daniele; Lo Giudice, Claudio; Picardi, Ernesto; Tafuri, Benedetta; Nigro, Salvatore; Pesole, Graziano; Tangaro, Sabina; Logroscino, Giancarlo; Bellotti, Roberto
A method to detect positron anisotropies with Pamela data
2014-01-01 Panico, B.; Adriani, O.; Barbarino, G. C.; Bazilevskaya, G. A.; Bellotti, Roberto; Boezio, M.; Bogomolov, E. A.; Bongi, M.; Bonvicini, V.; Bottai, S.; Bruno, Alessandro; Cafagna, F.; Campana, D.; Carbone, R.; Carlson, P.; Casolino, M.; Castellini, G.; De Donato, C.; De Santis, C.; De Simone, N.; Di Felice, V.; Formato, V.; Galper, A. M.; Giaccari, U.; Karelin, A. V.; Koldashov, S. V.; Koldobskiy, S.; Krutkov, S. Y.; Kvashnin, A. N.; Leonov, A.; Malakhov, V.; Marcelli, L.; Martucci, M.; Mayorov, A. G.; Menn, W.; Merge, M.; Mikhailov, V. V.; Mocchiutti, E.; Monaco, Alfonso; Mori, N.; Munini, R.; Osteria, G.; Palma, F.; Papini, P.; Pearce, M.; Picozza, P.; Pizzolotto, C.; Ricci, M.; Ricciarini, S. B.; Sarkar, R.; Scotti, V.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stozhkov, Y. I.; Vacchi, A.; Vannuccini, E.; Vasilyev, G. I.; Voronov, S. A.; Yurkin, Y. T.; Zampa, G.; Zampa, N.; Zverev, V. G.
A multiplex network model to characterize brain atrophy in structural MRI
2017-01-01 Rocca, M. L.; Amoroso, N.; Bellotti, R.; Diacono, D.; Monaco, A.; Monda, A.; Tateo, A.; Tangaro, S.
A Multiplex Network Model to Characterize Brain Atrophy in Structural MRI
2017-01-01 La Rocca, M; Amoroso, N; Bellotti, R; Diacono, D; Monaco, A; Monda, A; Tateo, A; Tangaro, S
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease
2022-01-01 Lombardi, Angela; Diacono, Domenico; Amoroso, Nicola; Biecek, Przemysław; Monaco, Alfonso; Bellantuono, Loredana; Pantaleo, Ester; Logroscino, Giancarlo; De Blasi, Roberto; Tangaro, Sabina; Bellotti, Roberto
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer
2022-01-01 Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R.
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
2018-01-01 Amoroso, Nicola; Rocca, Marianna La; Bellotti, Roberto; Fanizzi, Annarita; Monaco, Alfonso; Tangaro, Sabina
Association between MRI structural features and cognitive measures in pediatric multiple sclerosis
2017-01-01 Amoroso, N.; Bellotti, R.; Fanizzi, A.; Lombardi, A.; Monaco, A.; Liguori, M.; Margari, L.; Simone, M.; Viterbo, R. G.; Tangaro, S.
Best Practices in Knowledge Transfer: Insights from Top Universities
2022-01-01 Demarinis Loiotile, A.; De Nicolo, F.; Agrimi, A.; Bellantuono, L.; La Rocca, M.; Monaco, A.; Pantaleo, E.; Tangaro, S.; Amoroso, N.; Bellotti, R.
Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
2021-01-01 Lombardi, Angela; Monaco, Alfonso; Donvito, Giacinto; Amoroso, Nicola; Bellotti, Roberto; Tangaro, Sabina
Characterization of real-world networks through quantum potentials
2021-01-01 Amoroso, Nicola; Bellantuono, Loredana; Pascazio, Saverio; Monaco, Alfonso; Bellotti, Roberto
Complex networks reveal early MRI markers of Parkinson's disease
2018-01-01 Amoroso, N.; La Rocca, M.; Monaco, A.; Bellotti, R.; Tangaro, S.
Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions
2023-01-01 Pergola, Giulio; Parihar, Madhur; Sportelli, Leonardo; Bharadwaj, Rahul; Borcuk, Christopher James; Radulescu, Eugenia; Bellantuono, Loredana; Blasi, Giuseppe; Chen, Qiang; Kleinman, Joel E.; Wang, Yanhong; Rao Sripathy, Srinidhi; Maher, Brady J.; Monaco, Alfonso; Rossi, Fabiana; Heon Shin, Joo; Hyde, Thomas M.; Bertolino, Alessandro; Weinberger, Daniel R.
Country-level factors dynamics and ABO/Rh blood groups contribution to COVID-19 mortality
2021-01-01 Monaco, A.; Pantaleo, E.; Amoroso, N.; Bellantuono, L.; Stella, A.; Bellotti, R.
Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age
2019-01-01 Amoroso, Nicola; La Rocca, Marianna; Bellantuono, Loredana; Diacono, Domenico; Fanizzi, Annarita; Lella, Eufemia; Lombardi, Angela; Maggipinto, Tommaso; Monaco, Alfonso; Tangaro, Sabina; Bellotti, Roberto
Deep learning and multiplex networks for accurate modeling of brain age
2019-01-01 Amoroso, N.; Rocca, M. L.; Bellantuono, Loredana; Diacono, D.; Fanizzi, Annarita; Lella, Eufemia; Lombardi, Angela; Maggipinto, T.; Monaco, A.; Tangaro, S.; Bellotti, R.
Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge
2018-01-01 Amoroso, N.; Diacono, D.; Fanizzi, A.; La Rocca, M.; Monaco, A.; Lombardi, A.; Guaragnella, C.; Bellotti, R.; Tangaro, S.
Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence
2023-01-01 Bellantuono, Loredana; Palmisano, Flaviana; Amoroso, Nicola; Monaco, Alfonso; Peragine, Vitorocco; Bellotti, Roberto
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis | 1-gen-2018 | Losurdo, Liliana; Fanizzi, Annarita; Basile, Teresa M. A.; Bellotti, Roberto; Bottigli, Ubaldo; Dentamaro, Rosalba; Didonna, Vittorio; Fausto, Alfonso; Massafra, Raffaella; Monaco, Alfonso; Moschetta, Marco; Popescu, Ondina; Tamborra, Pasquale; Tangaro, Sabina; La Forgia, Daniele | |
A complex network approach reveals pivotal sub-structure of genes linked to Schizophrenia | 1-gen-2018 | Monaco, Alfonso; Monda, Anna; Amoroso, Nicola; Bertolino, Alessandro; Blasi, Giuseppe; DI CARLO, Pasquale; Papalino, Marco; Pergola, Giulio; Tangaro, Sabina; Bellotti, Roberto | |
A Machine Learning Approach to Parkinson's Disease Blood Transcriptomics | 1-gen-2022 | Pantaleo, Ester; Monaco, Alfonso; Amoroso, Nicola; Lombardi, Angela; Bellantuono, Loredana; Urso, Daniele; Lo Giudice, Claudio; Picardi, Ernesto; Tafuri, Benedetta; Nigro, Salvatore; Pesole, Graziano; Tangaro, Sabina; Logroscino, Giancarlo; Bellotti, Roberto | |
A method to detect positron anisotropies with Pamela data | 1-gen-2014 | Panico, B.; Adriani, O.; Barbarino, G. C.; Bazilevskaya, G. A.; Bellotti, Roberto; Boezio, M.; Bogomolov, E. A.; Bongi, M.; Bonvicini, V.; Bottai, S.; Bruno, Alessandro; Cafagna, F.; Campana, D.; Carbone, R.; Carlson, P.; Casolino, M.; Castellini, G.; De Donato, C.; De Santis, C.; De Simone, N.; Di Felice, V.; Formato, V.; Galper, A. M.; Giaccari, U.; Karelin, A. V.; Koldashov, S. V.; Koldobskiy, S.; Krutkov, S. Y.; Kvashnin, A. N.; Leonov, A.; Malakhov, V.; Marcelli, L.; Martucci, M.; Mayorov, A. G.; Menn, W.; Merge, M.; Mikhailov, V. V.; Mocchiutti, E.; Monaco, Alfonso; Mori, N.; Munini, R.; Osteria, G.; Palma, F.; Papini, P.; Pearce, M.; Picozza, P.; Pizzolotto, C.; Ricci, M.; Ricciarini, S. B.; Sarkar, R.; Scotti, V.; Simon, M.; Sparvoli, R.; Spillantini, P.; Stozhkov, Y. I.; Vacchi, A.; Vannuccini, E.; Vasilyev, G. I.; Voronov, S. A.; Yurkin, Y. T.; Zampa, G.; Zampa, N.; Zverev, V. G. | |
A multiplex network model to characterize brain atrophy in structural MRI | 1-gen-2017 | Rocca, M. L.; Amoroso, N.; Bellotti, R.; Diacono, D.; Monaco, A.; Monda, A.; Tateo, A.; Tangaro, S. | |
A Multiplex Network Model to Characterize Brain Atrophy in Structural MRI | 1-gen-2017 | La Rocca, M; Amoroso, N; Bellotti, R; Diacono, D; Monaco, A; Monda, A; Tateo, A; Tangaro, S | |
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease | 1-gen-2022 | Lombardi, Angela; Diacono, Domenico; Amoroso, Nicola; Biecek, Przemysław; Monaco, Alfonso; Bellantuono, Loredana; Pantaleo, Ester; Logroscino, Giancarlo; De Blasi, Roberto; Tangaro, Sabina; Bellotti, Roberto | |
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer | 1-gen-2022 | Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R. | |
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm | 1-gen-2018 | Amoroso, Nicola; Rocca, Marianna La; Bellotti, Roberto; Fanizzi, Annarita; Monaco, Alfonso; Tangaro, Sabina | |
Association between MRI structural features and cognitive measures in pediatric multiple sclerosis | 1-gen-2017 | Amoroso, N.; Bellotti, R.; Fanizzi, A.; Lombardi, A.; Monaco, A.; Liguori, M.; Margari, L.; Simone, M.; Viterbo, R. G.; Tangaro, S. | |
Best Practices in Knowledge Transfer: Insights from Top Universities | 1-gen-2022 | Demarinis Loiotile, A.; De Nicolo, F.; Agrimi, A.; Bellantuono, L.; La Rocca, M.; Monaco, A.; Pantaleo, E.; Tangaro, S.; Amoroso, N.; Bellotti, R. | |
Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019 | 1-gen-2021 | Lombardi, Angela; Monaco, Alfonso; Donvito, Giacinto; Amoroso, Nicola; Bellotti, Roberto; Tangaro, Sabina | |
Characterization of real-world networks through quantum potentials | 1-gen-2021 | Amoroso, Nicola; Bellantuono, Loredana; Pascazio, Saverio; Monaco, Alfonso; Bellotti, Roberto | |
Complex networks reveal early MRI markers of Parkinson's disease | 1-gen-2018 | Amoroso, N.; La Rocca, M.; Monaco, A.; Bellotti, R.; Tangaro, S. | |
Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions | 1-gen-2023 | Pergola, Giulio; Parihar, Madhur; Sportelli, Leonardo; Bharadwaj, Rahul; Borcuk, Christopher James; Radulescu, Eugenia; Bellantuono, Loredana; Blasi, Giuseppe; Chen, Qiang; Kleinman, Joel E.; Wang, Yanhong; Rao Sripathy, Srinidhi; Maher, Brady J.; Monaco, Alfonso; Rossi, Fabiana; Heon Shin, Joo; Hyde, Thomas M.; Bertolino, Alessandro; Weinberger, Daniel R. | |
Country-level factors dynamics and ABO/Rh blood groups contribution to COVID-19 mortality | 1-gen-2021 | Monaco, A.; Pantaleo, E.; Amoroso, N.; Bellantuono, L.; Stella, A.; Bellotti, R. | |
Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age | 1-gen-2019 | Amoroso, Nicola; La Rocca, Marianna; Bellantuono, Loredana; Diacono, Domenico; Fanizzi, Annarita; Lella, Eufemia; Lombardi, Angela; Maggipinto, Tommaso; Monaco, Alfonso; Tangaro, Sabina; Bellotti, Roberto | |
Deep learning and multiplex networks for accurate modeling of brain age | 1-gen-2019 | Amoroso, N.; Rocca, M. L.; Bellantuono, Loredana; Diacono, D.; Fanizzi, Annarita; Lella, Eufemia; Lombardi, Angela; Maggipinto, T.; Monaco, A.; Tangaro, S.; Bellotti, R. | |
Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge | 1-gen-2018 | Amoroso, N.; Diacono, D.; Fanizzi, A.; La Rocca, M.; Monaco, A.; Lombardi, A.; Guaragnella, C.; Bellotti, R.; Tangaro, S. | |
Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence | 1-gen-2023 | Bellantuono, Loredana; Palmisano, Flaviana; Amoroso, Nicola; Monaco, Alfonso; Peragine, Vitorocco; Bellotti, Roberto |