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Author Details

Nicola Amoroso
Istituto Nazionale di Fisica Nucleare
2014
65
16
Timothy Clark (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
36113788The spatial association between environmental pollution and long-term cancer mortality in Italy.Sci Total Environ2023
37719873An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease.Front Aging Neurosci2023
37626087A Dementia mortality rates dataset in Italy (2012-2019).Sci Data2023
37950034Deep learning approach for denoising low-SNR correlation plenoptic images.Sci Rep2023
37894965Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular Carcinoma.Int J Mol Sci2023
37789191An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis.Sci Rep2023
37509243Study of Alternative Imaging Methods for In Vivo Boron Neutron Capture Therapy.Cancers (Basel)2023
37361206Short-term anti-remodeling effects of gliflozins in diabetic patients with heart failure and reduced ejection fraction: an explainable artificial intelligence approach.Front Pharmacol2023
36817766Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.Front Med (Lausanne)2023
36520016TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity.J Chem Inf Model2023
36646810Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence.Sci Rep2023
36871641Functional connectivity alterations in traumatic brain injury patients with late seizures.Neurobiol Dis2023
34474031Satellite data and machine learning reveal a significant correlation between NO<sub>2</sub> and COVID-19 mortality.Environ Res2022
35404984Psychological counseling in the Italian academic context: Expected needs, activities, and target population in a large sample of students.PLoS One2022
35345809High-concentration methane and ethane QEPAS detection employing partial least squares regression to filter out energy relaxation dependence on gas matrix composition.Photoacoustics2022
35627112A Machine Learning Approach to Parkinson's Disease Blood Transcriptomics.Genes (Basel)2022
36567754Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis.Front Big Data2022
36175583Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe.Sci Rep2022
36270998A ten-year (2009-2018) database of cancer mortality rates in Italy.Sci Data2022
35882684A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease.Brain Inform2022
35308061Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework.Appl Netw Sci2022
35322106Territorial bias in university rankings: a complex network approach.Sci Rep2022
33099008Predicting brain age with complex networks: From adolescence to adulthood.Neuroimage2021
33551880Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019.Front Psychiatry2021
34972836Country-level factors dynamics and ABO/Rh blood groups contribution to COVID-19 mortality.Sci Rep2021
34429852A primer on machine learning techniques for genomic applications.Comput Struct Biotechnol J2021
34122000Explainable Deep Learning for Personalized Age Prediction With Brain Morphology.Front Neurosci2021
34255791Characterization of real-world networks through quantum potentials.PLoS One2021
32545374Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction.Brain Sci2020
33110089Potential energy of complex networks: a quantum mechanical perspective.Sci Rep2020
33049726Identifying potential gene biomarkers for Parkinson's disease through an information entropy based approach.Phys Biol2020
33328863Multiplex Networks to Characterize Seizure Development in Traumatic Brain Injury Patients.Front Neurosci2020
33233622Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer's Disease.Brain Sci2020
33093554An equity-oriented rethink of global rankings with complex networks mapping development.Sci Rep2020
32882464Machine learning reveals that prolonged exposure to air pollution is associated with SARS-CoV-2 mortality and infectivity in Italy.Environ Pollut2020
32845150<i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization.J Chem Inf Model2020
30656857Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study.Brain Behav2019
31891941Shannon entropy approach reveals relevant genes in Alzheimer's disease.PLoS One2019
33267189Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer's Disease.Entropy (Basel)2019
31178715Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age.Front Aging Neurosci2019
30951846Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes.Neuroimage2019
30725232Thalamic connectivity measured with fMRI is associated with a polygenic index predicting thalamo-prefrontal gene co-expression.Brain Struct Funct2019
29304112A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.PLoS One2018
29807313Complex networks reveal early MRI markers of Parkinson's disease.Med Image Anal2018
29943735A novel approach to brain connectivity reveals early structural changes in Alzheimer's disease.Physiol Meas2018
30487745Multiplex Networks for Early Diagnosis of Alzheimer's Disease.Front Aging Neurosci2018
30458801Salient networks: a novel application to study Alzheimer disease.Biomed Eng Online2018
30386225Applying Big Data Methods to Understanding Human Behavior and Health.Front Comput Neurosci2018
29357893Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm.Biomed Eng Online2018
29735686Transcriptomic context of <i>DRD1</i> is associated with prefrontal activity and behavior during working memory.Proc Natl Acad Sci U S A2018
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Collaborators

Istituto Nazionale di Fisica Nucleare
Co-authored papers 55
Istituto Nazionale di Fisica Nucleare
Co-authored papers 48
Universita degli Studi di Bari Aldo Moro
Co-authored papers 12
Universita degli Studi di Bari "A. Moro"
Co-authored papers 9
The Francis Crick Institute
Co-authored papers 5
Universita degli Studi di Genova
Co-authored papers 4
University of Southern California
Co-authored papers 3
Co-authored papers 2
Keio University School of Medicine
Co-authored papers 2
Co-authored papers 2
Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital
Co-authored papers 1
The Barcelona Institute for Science and Technology
Co-authored papers 1
Rush University Medical Center
Co-authored papers 1
University of Oxford
Co-authored papers 1
IBM T.J. Watson Research Center
Co-authored papers 1
University of Toronto
Co-authored papers 1
Miltenyi Biotec B.V. & Co. KG
Co-authored papers 1
Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
Co-authored papers 1
Institute for Systems Biology
Co-authored papers 1
Rice University
Co-authored papers 1
IBM T.J. Watson Research Center - 218
Co-authored papers 1
University of Michigan ann arbor
Co-authored papers 1
Institute of Psychiatry, King's College London
Co-authored papers 1
University of Texas Southwestern Medical Center
Co-authored papers 1
Child Mind Institute
Co-authored papers 1
Children's Hospital Oakland Research Institute
Co-authored papers 1
Usher Institute, University of Edinburgh
Co-authored papers 1
First Clinical Medical School, Guangzhou University of Chinese Medicine
Co-authored papers 1
University of Luxembourg
Co-authored papers 1
Bill & Melinda Gates Foundation
Co-authored papers 1