Nicola Amoroso
Nicola Amoroso
Associate Professor, Farmacia - Scienze del Farmaco, UniversitÓ degli studi di Bari
Verified email at - Homepage
Cited by
Cited by
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
Deep learning reveals Alzheimer's disease onset in MCI subjects: results from an international challenge
N Amoroso, D Diacono, A Fanizzi, M La Rocca, A Monaco, A Lombardi, ...
Journal of neuroscience methods 302, 3-9, 2018
Complex networks reveal early MRI markers of Parkinson’s disease
N Amoroso, M La Rocca, A Monaco, R Bellotti, S Tangaro
Medical image analysis 48, 12-24, 2018
Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease
A Chincarini, F Sensi, L Rei, G Gemme, S Squarcia, R Longo, F Brun, ...
NeuroImage 125, 834-847, 2016
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ...
Alzheimer's & Dementia 12 (6), 645-653, 2016
DTI measurements for Alzheimer’s classification
T Maggipinto, R Bellotti, N Amoroso, D Diacono, G Donvito, E Lella, ...
Physics in Medicine & Biology 62 (6), 2361, 2017
De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization
A Domenico, G Nicola, T Daniela, C Fulvio, A Nicola, N Orazio
Journal of Chemical Information and Modeling 60 (10), 4582-4593, 2020
Machine learning reveals that prolonged exposure to air pollution is associated with SARS-CoV-2 mortality and infectivity in Italy
RC Gatti, A Velichevskaya, A Tateo, N Amoroso, A Monaco
Environmental Pollution 267, 115471, 2020
Explainable deep learning for personalized age prediction with brain morphology
A Lombardi, D Diacono, N Amoroso, A Monaco, JMRS Tavares, R Bellotti, ...
Frontiers in neuroscience 15, 674055, 2021
Deep learning and multiplex networks for accurate modeling of brain age
N Amoroso, M La Rocca, L Bellantuono, D Diacono, A Fanizzi, E Lella, ...
Frontiers in aging neuroscience 11, 115, 2019
High-concentration methane and ethane QEPAS detection employing partial least squares regression to filter out energy relaxation dependence on gas matrix composition
G Menduni, A Zifarelli, A Sampaolo, P Patimisco, M Giglio, N Amoroso, ...
Photoacoustics 26, 100349, 2022
Predicting brain age with complex networks: From adolescence to adulthood
L Bellantuono, L Marzano, M La Rocca, D Duncan, A Lombardi, ...
NeuroImage 225, 117458, 2021
Grey matter volume patterns in thalamic nuclei are associated with familial risk for schizophrenia
G Pergola, S Trizio, P Di Carlo, P Taurisano, M Mancini, N Amoroso, ...
Schizophrenia research 180, 13-20, 2017
Automated voxel-by-voxel tissue classification for hippocampal segmentation: methods and validation
S Tangaro, N Amoroso, M Boccardi, S Bruno, A Chincarini, G Ferraro, ...
Physica Medica 30 (8), 878-887, 2014
A roadmap towards breast cancer therapies supported by explainable artificial intelligence
N Amoroso, D Pomarico, A Fanizzi, V Didonna, F Giotta, D La Forgia, ...
Applied Sciences 11 (11), 4881, 2021
Multiplex networks for early diagnosis of Alzheimer's disease
N Amoroso, M La Rocca, S Bruno, T Maggipinto, A Monaco, R Bellotti, ...
Frontiers in Aging Neuroscience 10, 365, 2018
Hough transform for clustered microcalcifications detection in full-field digital mammograms
A Fanizzi, TMA Basile, L Losurdo, N Amoroso, R Bellotti, U Bottigli, ...
Applications of digital image processing XL 10396, 218-229, 2017
Hippocampal unified multi-atlas network (HUMAN): protocol and scale validation of a novel segmentation tool
N Amoroso, R Errico, S Bruno, A Chincarini, E Garuccio, F Sensi, ...
Physics in Medicine & Biology 60 (22), 8851, 2015
Feature selection based on machine learning in MRIs for hippocampal segmentation
S Tangaro, N Amoroso, M Brescia, S Cavuoti, A Chincarini, R Errico, ...
Computational and mathematical methods in medicine 2015 (1), 814104, 2015
Multi-time-scale features for accurate respiratory sound classification
A Monaco, N Amoroso, L Bellantuono, E Pantaleo, S Tangaro, R Bellotti
Applied Sciences 10 (23), 8606, 2020
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