Giovanna Maria Dimitri, PhD

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5 articoli

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MONICA BIANCHINIUniversity of SienaEmail verificata su unisi.it
Simeon SpasovPhD student, University of CambridgeEmail verificata su cam.ac.uk
P SmielewskiUniversity of CambridgeEmail verificata su cam.ac.uk
marek czosnykaUniversity of CambridgeEmail verificata su medschl.cam.ac.uk
Tiago AzevedoUniversity of CambridgeEmail verificata su cst.cam.ac.uk
Claudio FranceschiProf Emeritus, University of Bologna and Lobachevsky State University, Nizhny Novgorod, RussiaEmail verificata su unibo.it
paolo garagnaniEmail verificata su unibo.it
Brit MollenhauerProfessorin, Neurologie, Universitätsmedizin Göttingen, GermanyEmail verificata su med.uni-goettingen.de
Luca PassamontiLantheusEmail verificata su lantheus.com
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome Tor VergataEmail verificata su med.uniroma2.it
Andrea DuggentoUniversity of Rome "Tor Vergata"Email verificata su med.uniroma2.it
Marco MagginiProfessor of Computer Science, University of SienaEmail verificata su unisi.it
Ari ErcoleUniversity of CambridgeEmail verificata su cam.ac.uk
ottavia spigaProfessore Associato Biochimica, Università di SienaEmail verificata su unisi.it
Vittoria CicaloniToscana Life Sciences FoundationEmail verificata su toscanalifesciences.org
Joseph DonnellyUniversity of AucklandEmail verificata su aucklanduni.ac.nz
Eric R. GamazonVanderbilt University School of Medicine; Clare Hall, University of Cambridge; University of ChicagoEmail verificata su vanderbilt.edu
Matteo TiezziPostdoctoral Researcher, Italian Institute of TechnologyEmail verificata su iit.it
Ivan MerelliResearcher in Bioinformatics, Institute for Biomedical TechnologiesEmail verificata su itb.cnr.it
Carlo MajHead of Bioinformatics at Center for Human Genetics, University of MarburgEmail verificata su uni-marburg.de

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Giovanna Maria Dimitri, PhD

Assistant Professor at University of Siena, PhD and MPhil at the University of Cambridge (UK)

Email verificata su unisi.it - Home page

Deep Learning Machine Learning Data Science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
DrugClust: a machine learning approach for drugs side effects prediction GM Dimitri, P Lió Computational biology and chemistry 68, 204-210, 2017	87	2017
Inductive–transductive learning with graph neural networks A Rossi, M Tiezzi, GM Dimitri, M Bianchini, M Maggini, F Scarselli Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018	41	2018
A comparison of machine learning approaches for predicting employee attrition F Guerranti, GM Dimitri Applied Sciences 13 (1), 267, 2022	29	2022
Multimodal and multicontrast image fusion via deep generative models GM Dimitri, S Spasov, A Duggento, L Passamonti, P Lió, N Toschi Information Fusion 88, 146-160, 2022	29	2022
Integration of machine learning methods to dissect genetically imputed transcriptomic profiles in Alzheimer’s disease C Maj, T Azevedo, V Giansanti, O Borisov, GM Dimitri, S Spasov, ... Frontiers in genetics 10, 726, 2019	29	2019
Segmentation of aorta 3D CT images based on 2D convolutional neural networks S Bonechi, P Andreini, A Mecocci, N Giannelli, F Scarselli, E Neri, ... Electronics 10 (20), 2559, 2021	26	2021
Modular multi–source prediction of drug side–effects with DruGNN P Bongini, F Scarselli, M Bianchini, GM Dimitri, N Pancino, P Lio IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022	25	2022
Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients E Zago, A Dal Molin, GM Dimitri, L Xumerle, C Pirazzini, MG Bacalini, ... Scientific reports 12 (1), 1330, 2022	25	2022
Deep neural networks for structured data M Bianchini, GM Dimitri, M Maggini, F Scarselli Computational intelligence for pattern recognition, 29-51, 2018	25	2018
Machine learning application for patient stratification and phenotype/genotype investigation in a rare disease O Spiga, V Cicaloni, GM Dimitri, F Pettini, D Braconi, A Bernini, A Santucci Briefings in Bioinformatics 22 (5), bbaa434, 2021	24	2021
Interactive alkaptonuria database: investigating clinical data to improve patient care in a rare disease V Cicaloni, O Spiga, GM Dimitri, R Maiocchi, L Millucci, D Giustarini, ... The FASEB Journal 33 (11), 12696, 2019	23	2019
Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson’s disease patients G Meoni, L Tenori, S Schade, C Licari, C Pirazzini, MG Bacalini, ... npj Parkinson's Disease 8 (1), 14, 2022	21	2022
Unsupervised stratification in neuroimaging through deep latent embeddings GM Dimitri, S Spasov, A Duggento, L Passamonti, P Lio, N Toschi 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020	21	2020
A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients GM Dimitri, Agrawal S, Young A, Donnelly J, Liu X, Smielewski P, Hutchinson ... Applied Network Science, 2017	21*	2017
A geroscience approach for Parkinson’s disease: Conceptual framework and design of PROPAG-AGEING project C Pirazzini, T Azevedo, L Baldelli, A Bartoletti-Stella, ... Mechanisms of Ageing and Development 194, 111426, 2021	18	2021
Simultaneous transients of intracranial pressure and heart rate in traumatic brain injury: Methods of analysis GM Dimitri, S Agrawal, A Young, J Donnelly, X Liu, P Smielewski, ... Intracranial Pressure & Neuromonitoring XVI, 147-151, 2018	16	2018
The impact of Syntax Highlighting in Sonic Pi. GM Dimitri PPIG, 9, 2015	16	2015
Modeling brain–heart crosstalk information in patients with traumatic brain injury GM Dimitri, E Beqiri, MM Placek, M Czosnyka, N Stocchetti, A Ercole, ... Neurocritical care, 1-13, 2022	15	2022
A multi-modal machine learning approach to detect extreme rainfall events in Sicily E Vitanza, GM Dimitri, C Mocenni Scientific Reports 13 (1), 6196, 2023	14	2023
A short survey on deep learning for multimodal integration: Applications, future perspectives and challenges GM Dimitri Computers 11 (11), 163, 2022	14	2022

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