Giovanni Montana

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	Toate	Din 2020
Referințe bibliografice	8965	4942
h-index	43	32
i10-index	95	79

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Ricardo Pio MontiGatsby Unit, UCLAdresă de e-mail confirmată pe gatsby.ucl.ac.uk
Christoforos AnagnostopoulosHonorary Senior Lecturer, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Robert LeechKing's College LondonAdresă de e-mail confirmată pe kcl.ac.uk
Matt J SilverLondon School of Hygiene and Tropical Medicine, MRC Unit The GambiaAdresă de e-mail confirmată pe lshtm.ac.uk
Romy LorenzResearch Group Leader, Max Planck Institute for Biological CyberneticsAdresă de e-mail confirmată pe tuebingen.mpg.de
Daniel RueckertTechnical University of Munich and Imperial College LondonAdresă de e-mail confirmată pe tum.de
Maurice BerkImperial CollegeAdresă de e-mail confirmată pe imperial.ac.uk
Myrsini KaforouSenior Lecturer in Bioinformatics, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Kostas TriantafyllopoulosSenior Lecturer in Statistics, University of Sheffield Adresă de e-mail confirmată pe shef.ac.uk
Brian McWilliamsGoogle DeepMindAdresă de e-mail confirmată pe google.com
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonAdresă de e-mail confirmată pe kcl.ac.uk
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Adresă de e-mail confirmată pe imperial.ac.uk
michael LevinProfessor of International Child Health Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Thomas E. NicholsUniversity of OxfordAdresă de e-mail confirmată pe bdi.ox.ac.uk
Dr. Peter J. HellyerKing's College LondonAdresă de e-mail confirmată pe kcl.ac.uk
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCAdresă de e-mail confirmată pe usc.edu
Anand S PanditNeurosurgical trainee and post-doctoral researcher, University College LondonAdresă de e-mail confirmată pe ucl.ac.uk
Jonathan K PritchardStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Jason L SteinAssociate Professor, University of North Carolina at Chapel HillAdresă de e-mail confirmată pe med.unc.edu
Tim EbbelsProfessor of Biomedical Data Science, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk

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Giovanni Montana

Professor of Data Science, University of Warwick

Adresă de e-mail confirmată pe warwick.ac.uk - Pagina de pornire

Data Science Machine Learning Digital Healthcare


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Genome expansion and gene loss in powdery mildew fungi reveal tradeoffs in extreme parasitism PD Spanu, JC Abbott, J Amselem, TA Burgis, DM Soanes, K Stüber, ... Science 330 (6010), 1543-1546, 2010	898	2010
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker JH Cole, RPK Poudel, D Tsagkrasoulis, MWA Caan, C Steves, ... NeuroImage 163, 115-124, 2017	875	2017
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks A Payan, G Montana arXiv preprint arXiv:1502.02506, 2015	678	2015
Deep neural networks for anatomical brain segmentation A de Brebisson, G Montana Proceedings of the IEEE conference on computer vision and pattern …, 2015	436	2015
Brown and white adipose tissues: intrinsic differences in gene expression and response to cold exposure in mice M Rosell, M Kaforou, A Frontini, A Okolo, YW Chan, E Nikolopoulou, ... American Journal of Physiology-Endocrinology and Metabolism 306 (8), E945-E964, 2014	424	2014
Recurrent fully convolutional neural networks for multi-slice MRI cardiac segmentation RPK Poudel, P Lamata, G Montana International Workshop on Reconstruction and Analysis of Moving Body Organs …, 2016	337	2016
Automated triaging of adult chest radiographs with deep artificial neural networks M Annarumma, SJ Withey, RJ Bakewell, E Pesce, V Goh, G Montana Radiology 291 (1), 196-202, 2019	303	2019
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach M Vounou, TE Nichols, G Montana, ... Neuroimage 53 (3), 1147-1159, 2010	254	2010
Smchd1-dependent and-independent pathways determine developmental dynamics of CpG island methylation on the inactive X chromosome AV Gendrel, A Apedaile, H Coker, A Termanis, I Zvetkova, J Godwin, ... Developmental cell 23 (2), 265-279, 2012	228	2012
Predicting response to neoadjuvant chemotherapy with PET imaging using convolutional neural networks PP Ypsilantis, M Siddique, HM Sohn, A Davies, G Cook, V Goh, ... PloS one 10 (9), e0137036, 2015	212	2015
Estimating time-varying brain connectivity networks from functional MRI time series RP Monti, P Hellyer, D Sharp, R Leech, C Anagnostopoulos, G Montana NeuroImage 103, 427-443, 2014	203	2014
Statistical tests for admixture mapping with case-control and cases-only data G Montana, JK Pritchard The American Journal of Human Genetics 75 (5), 771-789, 2004	187	2004
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease M Vounou, E Janoušová, R Wolz, JL Stein, PM Thompson, D Rueckert, ... Elsevier, The Nederlands. ISSN, 2012	179	2012
False positives in neuroimaging genetics using cluster-size inference M Silver, G Montana, TE Nichols Neuroimage 54 (2), 992-1000, 2010	152*	2010
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks E Pesce, SJ Withey, PP Ypsilantis, R Bakewell, V Goh, G Montana Medical image analysis 53, 26-38, 2019	138	2019
Modelling radiological language with bidirectional long short-term memory networks S Cornegruta, R Bakewell, S Withey, G Montana arXiv preprint arXiv:1609.08409, 2016	121	2016
Whole-brain mapping of structural connectivity in infants reveals altered connection strength associated with growth and preterm birth AS Pandit, E Robinson, P Aljabar, G Ball, IS Gousias, Z Wang, JV Hajnal, ... Cerebral cortex 24 (9), 2324-2333, 2014	116	2014
Community detection in multiplex networks using locally adaptive random walks Z Kuncheva, G Montana Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015	109	2015
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression M Silver, E Janousova, X Hua, PM Thompson, G Montana, ... NeuroImage 63 (3), 1681-1694, 2012	105	2012
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI R Lorenz, RP Monti, IR Violante, C Anagnostopoulos, AA Faisal, ... NeuroImage 129, 320-334, 2016	97	2016

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