Giovanni Montana

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Ricardo Pio MontiGatsby Unit, UCLVerified email at gatsby.ucl.ac.uk
Christoforos AnagnostopoulosHonorary Senior Lecturer, Imperial College LondonVerified email at imperial.ac.uk
Robert LeechKing's College LondonVerified email at kcl.ac.uk
Matt SilverGenomics England, London School of Hygiene and Tropical Medicine, MRC Unit The GambiaVerified email at genomicsengland.co.uk
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Romy LorenzSir Henry Wellcome Postdoctoral Fellow, University of CambridgeVerified email at mrc-cbu.cam.ac.uk
Maurice BerkImperial CollegeVerified email at imperial.ac.uk
Myrsini KaforouSenior Lecturer in Bioinformatics, Imperial College LondonVerified email at imperial.ac.uk
Kostas TriantafyllopoulosSenior Lecturer in Statistics, University of Sheffield Verified email at shef.ac.uk
Brian McWilliamsResearch Scientist, GoogleVerified email at google.com
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonVerified email at kcl.ac.uk
Thomas E. NicholsUniversity of OxfordVerified email at bdi.ox.ac.uk
michael LevinProfessor of International Child Health Imperial College LondonVerified email at imperial.ac.uk
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Verified email at imperial.ac.uk
Peter J. HellyerKing's College LondonVerified email at kcl.ac.uk
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu
Anand S PanditNeurosurgical trainee and post-doctoral researcher, University College LondonVerified email at ucl.ac.uk
Jonathan K PritchardStanford UniversityVerified email at stanford.edu
Jason L SteinAssociate Professor, University of North Carolina at Chapel HillVerified email at med.unc.edu
Tim EbbelsProfessor of Biomedical Data Science, Imperial College LondonVerified email at imperial.ac.uk

Giovanni Montana

Professor of Data Science, University of Warwick

Verified email at warwick.ac.uk - Homepage

Data Science Machine Learning Digital Healthcare Bioinformatics


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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	836	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	618	2017
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks A Payan, G Montana arXiv preprint arXiv:1502.02506, 2015	552	2015
Deep neural networks for anatomical brain segmentation A de Brebisson, G Montana Proceedings of the IEEE conference on computer vision and pattern …, 2015	396	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	369	2014
Recurrent fully convolutional neural networks for multi-slice MRI cardiac segmentation RPK Poudel, P Lamata, G Montana Reconstruction, Segmentation, and Analysis of Medical Images: First …, 2017	288	2017
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	238	2010
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	223	2019
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	207	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	187	2015
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	177	2004
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	174	2014
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	170	2012
False positives in neuroimaging genetics using cluster-size inference M Silver, G Montana, TE Nichols Neuroimage 54 (2), 992-1000, 2010	150*	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	112	2019
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	101	2014
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	100	2012
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	95	2015
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	85	2016
Subspace clustering of high-dimensional data: a predictive approach B McWilliams, G Montana Data Mining and Knowledge Discovery 28, 736-772, 2014	84	2014

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