AMOROSO, NICOLA
AMOROSO, NICOLA
DIPARTIMENTO DI FARMACIA-SCIENZE DEL FARMACO
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 fuzzy-based system reveals Alzheimer’s Disease onset in subjects with Mild Cognitive Impairment
2017-01-01 Tangaro, Sabina; Fanizzi, Annarita; Amoroso, Nicola; 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 multi-layer MRI description of Parkinson's diseas
2017-01-01 La Rocca, M.; Amoroso, N.; Lella, E.; Bellotti, R.; Tangaro, S.
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 novel approach to brain connectivity reveals early structural changes in Alzheimer's disease
2018-01-01 La Rocca, M.; Amoroso, N.; Monaco, A.; Bellotti, R.; Tangaro, S.
A primer on machine learning techniques for genomic applications
2021-01-01 Monaco, A.; Pantaleo, E.; Amoroso, N.; Lacalamita, A.; Lo Giudice, C.; Fonzino, A.; Fosso, B.; Picardi, E.; Tangaro, S.; Pesole, G.; Bellotti, R.
A proposal of quantum-inspired machine learning for medical purposes: An application case
2021-01-01 Pomarico, D.; Fanizzi, A.; Amoroso, N.; Bellotti, R.; Biafora, A.; Bove, S.; Didonna, V.; La Forgia, D.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
A roadmap towards breast cancer therapies supported by explainable artificial intelligence
2021-01-01 Amoroso, N.; Pomarico, D.; Fanizzi, A.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Monaco, A.; Pantaleo, E.; Petruzzellis, N.; Tamborra, P.; Zito, A.; Lorusso, V.; Bellotti, R.; Massafra, R.
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
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
2018-01-01 Amoroso, N.; Rocca, M. L.; Bellotti, R.; Fanizzi, A.; Monaco, A.; Tangaro, S.
Alzheimer’s disease markers from structural MRI and FDG-PET brain images
2012-01-01 Chincarini, A.; Bosco, P.; Gemme, G.; Morbelli, S.; Arnaldi, D.; Sensi, F.; Solano, I.; Amoroso, N.; Tangaro, S.; Longo, R.; Squarcia, S.; Nobili, F.
An equity-oriented rethink of global rankings with complex networks mapping development
2020-01-01 Bellantuono, L.; Monaco, A.; Tangaro, S.; Amoroso, N.; Aquaro, V.; Bellotti, R.
An hippocampal segmentation tool within an open cloud infrastructure
2015-01-01 Amoroso, Nicola; Tangaro, Sabina; Errico, Rosangela; Garuccio, Elena; Monda, Anna; Sensi, Francesco; Tateo, Andrea; Bellotti, Roberto
Applying big data methods to understanding human behavior and health
2018-01-01 Moustafa, A. A.; Diallo, T. M. O.; Amoroso, N.; Zaki, N.; Hassan, M.; Alashwal, H.
Assessment of network module identification across complex diseases
2019-01-01 Choobdar, S.; Ahsen, M. E.; Crawford, J.; Tomasoni, M.; Fang, T.; Lamparter, D.; Lin, J.; Hescott, B.; Hu, X.; Mercer, J.; Natoli, T.; Narayan, R.; Aicheler, F.; Amoroso, N.; Arenas, A.; Azhagesan, K.; Baker, A.; Banf, M.; Batzoglou, S.; Baudot, A.; Bellotti, R.; Bergmann, S.; Boroevich, K. A.; Brun, C.; Cai, S.; Caldera, M.; Calderone, A.; Cesareni, G.; Chen, W.; Chichester, C.; Choobdar, S.; Cowen, L.; Crawford, J.; Cui, H.; Dao, P.; De Domenico, M.; Dhroso, A.; Didier, G.; Divine, M.; del Sol, A.; Fang, T.; Feng, X.; Flores-Canales, J. C.; Fortunato, S.; Gitter, A.; Gorska, A.; Guan, Y.; Guenoche, A.; Gomez, S.; Hamza, H.; Hartmann, A.; He, S.; Heijs, A.; Heinrich, J.; Hescott, B.; Hu, X.; Hu, Y.; Huang, X.; Hughitt, V. K.; Jeon, M.; Jeub, L.; Johnson, N. T.; Joo, K.; Joung, I. S.; Jung, S.; Kalko, S. G.; Kamola, P. J.; Kang, J.; Kaveelerdpotjana, B.; Kim, M.; Kim, Y. -A.; Kohlbacher, O.; Korkin, D.; Krzysztof, K.; Kunji, K.; Kutalik, Z.; Lage, K.; Lamparter, D.; Lang-Brown, S.; Le, T. D.; Lee, J.; Lee, S.; Lee, J.; Li, D.; Li, J.; Lin, J.; Liu, L.; Loizou, A.; Luo, Z.; Lysenko, A.; Ma, T.; Mall, R.; Marbach, D.; Mattia, T.; Medvedovic, M.; Menche, J.; Mercer, J.; Micarelli, E.; Monaco, A.; Muller, F.; Narayan, R.; Narykov, O.; Natoli, T.; Norman, T.; Park, S.; Perfetto, L.; Perrin, D.; Pirro, S.; Przytycka, T. M.; Qian, X.; Raman, K.; Ramazzotti, D.; Ramsahai, E.; Ravindran, B.; Rennert, P.; Saez-Rodriguez, J.; Scharfe, C.; Sharan, R.; Shi, N.; Shin, W.; Shu, H.; Sinha, H.; Slonim, D. K.; Spinelli, L.; Srinivasan, S.; Subramanian, A.; Suver, C.; Szklarczyk, D.; Tangaro, S.; Thiagarajan, S.; Tichit, L.; Tiede, T.; Tripathi, B.; Tsherniak, A.; Tsunoda, T.; Turei, D.; Ullah, E.; Vahedi, G.; Valdeolivas, A.; Vivek, J.; von Mering, C.; Waagmeester, A.; Wang, B.; Wang, Y.; Weir, B. A.; White, S.; Winkler, S.; Xu, K.; Xu, T.; Yan, C.; Yang, L.; Yu, K.; Yu, X.; Zaffaroni, G.; Zaslavskiy, M.; Zeng, T.; Zhang, J. D.; Zhang, L.; Zhang, W.; Zhang, L.; Zhang, X.; Zhang, J.; Zhou, X.; Zhou, J.; Zhu, H.; Zhu, J.; Zuccon, G.; Subramanian, A.; Zhang, J. D.; Stolovitzky, G.; Kutalik, Z.; Lage, K.; Slonim, D. K.; Saez-Rodriguez, J.; Cowen, L. J.; Bergmann, S.; Marbach, D.
Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study
2019-01-01 Liguori, M.; Nuzziello, N.; Simone, M.; Amoroso, N.; Viterbo, R. G.; Tangaro, S.; Consiglio, A.; Giordano, P.; Bellotti, R.; Trojano, M.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
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 fuzzy-based system reveals Alzheimer’s Disease onset in subjects with Mild Cognitive Impairment | 1-gen-2017 | Tangaro, Sabina; Fanizzi, Annarita; Amoroso, Nicola; 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 multi-layer MRI description of Parkinson's diseas | 1-gen-2017 | La Rocca, M.; Amoroso, N.; Lella, E.; Bellotti, R.; Tangaro, S. | |
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 novel approach to brain connectivity reveals early structural changes in Alzheimer's disease | 1-gen-2018 | La Rocca, M.; Amoroso, N.; Monaco, A.; Bellotti, R.; Tangaro, S. | |
A primer on machine learning techniques for genomic applications | 1-gen-2021 | Monaco, A.; Pantaleo, E.; Amoroso, N.; Lacalamita, A.; Lo Giudice, C.; Fonzino, A.; Fosso, B.; Picardi, E.; Tangaro, S.; Pesole, G.; Bellotti, R. | |
A proposal of quantum-inspired machine learning for medical purposes: An application case | 1-gen-2021 | Pomarico, D.; Fanizzi, A.; Amoroso, N.; Bellotti, R.; Biafora, A.; Bove, S.; Didonna, V.; La Forgia, D.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
A roadmap towards breast cancer therapies supported by explainable artificial intelligence | 1-gen-2021 | Amoroso, N.; Pomarico, D.; Fanizzi, A.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Monaco, A.; Pantaleo, E.; Petruzzellis, N.; Tamborra, P.; Zito, A.; Lorusso, V.; Bellotti, R.; Massafra, R. | |
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 | |
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm | 1-gen-2018 | Amoroso, N.; Rocca, M. L.; Bellotti, R.; Fanizzi, A.; Monaco, A.; Tangaro, S. | |
Alzheimer’s disease markers from structural MRI and FDG-PET brain images | 1-gen-2012 | Chincarini, A.; Bosco, P.; Gemme, G.; Morbelli, S.; Arnaldi, D.; Sensi, F.; Solano, I.; Amoroso, N.; Tangaro, S.; Longo, R.; Squarcia, S.; Nobili, F. | |
An equity-oriented rethink of global rankings with complex networks mapping development | 1-gen-2020 | Bellantuono, L.; Monaco, A.; Tangaro, S.; Amoroso, N.; Aquaro, V.; Bellotti, R. | |
An hippocampal segmentation tool within an open cloud infrastructure | 1-gen-2015 | Amoroso, Nicola; Tangaro, Sabina; Errico, Rosangela; Garuccio, Elena; Monda, Anna; Sensi, Francesco; Tateo, Andrea; Bellotti, Roberto | |
Applying big data methods to understanding human behavior and health | 1-gen-2018 | Moustafa, A. A.; Diallo, T. M. O.; Amoroso, N.; Zaki, N.; Hassan, M.; Alashwal, H. | |
Assessment of network module identification across complex diseases | 1-gen-2019 | Choobdar, S.; Ahsen, M. E.; Crawford, J.; Tomasoni, M.; Fang, T.; Lamparter, D.; Lin, J.; Hescott, B.; Hu, X.; Mercer, J.; Natoli, T.; Narayan, R.; Aicheler, F.; Amoroso, N.; Arenas, A.; Azhagesan, K.; Baker, A.; Banf, M.; Batzoglou, S.; Baudot, A.; Bellotti, R.; Bergmann, S.; Boroevich, K. A.; Brun, C.; Cai, S.; Caldera, M.; Calderone, A.; Cesareni, G.; Chen, W.; Chichester, C.; Choobdar, S.; Cowen, L.; Crawford, J.; Cui, H.; Dao, P.; De Domenico, M.; Dhroso, A.; Didier, G.; Divine, M.; del Sol, A.; Fang, T.; Feng, X.; Flores-Canales, J. C.; Fortunato, S.; Gitter, A.; Gorska, A.; Guan, Y.; Guenoche, A.; Gomez, S.; Hamza, H.; Hartmann, A.; He, S.; Heijs, A.; Heinrich, J.; Hescott, B.; Hu, X.; Hu, Y.; Huang, X.; Hughitt, V. K.; Jeon, M.; Jeub, L.; Johnson, N. T.; Joo, K.; Joung, I. S.; Jung, S.; Kalko, S. G.; Kamola, P. J.; Kang, J.; Kaveelerdpotjana, B.; Kim, M.; Kim, Y. -A.; Kohlbacher, O.; Korkin, D.; Krzysztof, K.; Kunji, K.; Kutalik, Z.; Lage, K.; Lamparter, D.; Lang-Brown, S.; Le, T. D.; Lee, J.; Lee, S.; Lee, J.; Li, D.; Li, J.; Lin, J.; Liu, L.; Loizou, A.; Luo, Z.; Lysenko, A.; Ma, T.; Mall, R.; Marbach, D.; Mattia, T.; Medvedovic, M.; Menche, J.; Mercer, J.; Micarelli, E.; Monaco, A.; Muller, F.; Narayan, R.; Narykov, O.; Natoli, T.; Norman, T.; Park, S.; Perfetto, L.; Perrin, D.; Pirro, S.; Przytycka, T. M.; Qian, X.; Raman, K.; Ramazzotti, D.; Ramsahai, E.; Ravindran, B.; Rennert, P.; Saez-Rodriguez, J.; Scharfe, C.; Sharan, R.; Shi, N.; Shin, W.; Shu, H.; Sinha, H.; Slonim, D. K.; Spinelli, L.; Srinivasan, S.; Subramanian, A.; Suver, C.; Szklarczyk, D.; Tangaro, S.; Thiagarajan, S.; Tichit, L.; Tiede, T.; Tripathi, B.; Tsherniak, A.; Tsunoda, T.; Turei, D.; Ullah, E.; Vahedi, G.; Valdeolivas, A.; Vivek, J.; von Mering, C.; Waagmeester, A.; Wang, B.; Wang, Y.; Weir, B. A.; White, S.; Winkler, S.; Xu, K.; Xu, T.; Yan, C.; Yang, L.; Yu, K.; Yu, X.; Zaffaroni, G.; Zaslavskiy, M.; Zeng, T.; Zhang, J. D.; Zhang, L.; Zhang, W.; Zhang, L.; Zhang, X.; Zhang, J.; Zhou, X.; Zhou, J.; Zhu, H.; Zhu, J.; Zuccon, G.; Subramanian, A.; Zhang, J. D.; Stolovitzky, G.; Kutalik, Z.; Lage, K.; Slonim, D. K.; Saez-Rodriguez, J.; Cowen, L. J.; Bergmann, S.; Marbach, D. | |
Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study | 1-gen-2019 | Liguori, M.; Nuzziello, N.; Simone, M.; Amoroso, N.; Viterbo, R. G.; Tangaro, S.; Consiglio, A.; Giordano, P.; Bellotti, R.; Trojano, M. |