James Graham

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Chris TaylorProfessor of Imaging Science and Computer Science, University of ManchesterVerified email at manchester.ac.uk
Tim CootesProfessor of Computer Vision, Imaging Sciences/Computer Science/BII, The University of ManchesterVerified email at manchester.ac.uk
Hugh DevlinUniversity of ManchesterVerified email at Manchester.ac.uk
Rayaz Ahmed MalikWeill Cornell Medicine-QatarVerified email at qatar-med.cornell.edu
Mohammad DabbahDirector of Artificial IntelligenceVerified email at sent.tv
Ioannis N. PetropoulosAssistant Professor of Research in Medicine, Weill Cornell Medicine-Qatar and Weill Cornell MedicineVerified email at qatar-med.cornell.edu
Mitra TavakoliAssociate Professor in Medicine, University of Exeter Medical SchoolVerified email at exeter.ac.uk
Xin ChenAssociate Professor, University of NottinghamVerified email at nottingham.ac.uk
Mike RogersChief Research Officer, Image Metrics IncVerified email at mike-rogers.org
Damian J J FarnellCardiff UniversityVerified email at cardiff.ac.uk
Emmanouil MoschidisComputer Vision Engineer, Bosch RomaniaVerified email at ro.bosch.com
Kostas TsiklakisNational and Kapodistrian University of Athens, School of DentistryVerified email at dent.uoa.gr
Anastasia MitseaAssist Prof National and Kapodistrian University of Athens, School of DentistryVerified email at dent.uoa.gr
Kola BabalolaFull Stack Developer, European Bioinformatics InstituteVerified email at ebi.ac.uk
Andreas LanitisCyprus University of Technology & CYENS Centre of ExcellenceVerified email at cut.ac.cy

James Graham

Honorary Reader, Centre for Imaging Science/BII, The University of Manchester

Verified email at manchester.ac.uk

Medical Image Analysis Medical Image Computing Medical Imaging Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Active shape models-their training and application TF Cootes, CJ Taylor, DH Cooper, J Graham Computer vision and image understanding 61 (1), 38-59, 1995	10788	1995
Training Models of Shape from Sets of Examples TF Cootes, T CJ, DH Cooper, J Graham BMVC92: Proceedings of the British Machine Vision Conference, organised by …, 1992	889	1992
Handbook of neural computation E Fiesler, R Beale CRC Press, 1996	358*	1996
Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging MA Dabbah, J Graham, IN Petropoulos, M Tavakoli, RA Malik Medical image analysis 15 (5), 738-747, 2011	323	2011
Trainable method of parametric shape description TF Cootes, DH Cooper, CJ Taylor, J Graham Image and Vision Computing 10 (5), 289-294, 1992	286	1992
Rapid Automated Diagnosis of Diabetic Peripheral Neuropathy With In Vivo Corneal Confocal Microscopy IN Petropoulos, U Alam, H Fadavi, A Marshall, O Asghar, MA Dabbah, ... Investigative ophthalmology & visual science 55 (4), 2071-2078, 2014	274	2014
An introduction to active shape models T Cootes, ER Baldock, J Graham Image processing and analysis 328, 223-248, 2000	274	2000
Small Nerve Fiber Quantification in the Diagnosis of Diabetic Sensorimotor Polyneuropathy: Comparing Corneal Confocal Microscopy With Intraepidermal Nerve Fiber Density X Chen, J Graham, MA Dabbah, IN Petropoulos, G Ponirakis, O Asghar, ... Diabetes care 38 (6), 1138-1144, 2015	273	2015
Robust active shape model search for medical image analysis M Rogers, J Graham Proceedings of the MIUA, 81-84, 2002	213*	2002
Robust active shape model search M Rogers, J Graham Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002	203	2002
Repeatability of in vivo corneal confocal microscopy to quantify corneal nerve morphology IN Petropoulos, T Manzoor, P Morgan, H Fadavi, O Asghar, U Alam, ... Cornea 32 (5), e83-e89, 2013	201	2013
Building and using flexible models incorporating grey-level information TF Cootes, CJ Taylor, A Lanitis, DH Cooper, J Graham 1993 (4th) International Conference on Computer Vision, 242-246, 1993	185	1993
Tooth loss and osteoporosis: the OSTEODENT Study K Nicopoulou‐Karayianni, P Tzoutzoukos, A Mitsea, A Karayiannis, ... Journal of clinical periodontology 36 (3), 190-197, 2009	177	2009
An automatic tool for quantification of nerve fibers in corneal confocal microscopy images X Chen, J Graham, MA Dabbah, IN Petropoulos, M Tavakoli, RA Malik IEEE Transactions on Biomedical Engineering 64 (4), 786-794, 2017	172	2017
Dual-model automatic detection of nerve-fibres in corneal confocal microscopy images MA Dabbah, J Graham, I Petropoulos, M Tavakoli, RA Malik Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010	146	2010
Automated osteoporosis risk assessment by dentists: a new pathway to diagnosis H Devlin, PD Allen, J Graham, R Jacobs, K Karayianni, C Lindh, ... Bone 40 (4), 835-842, 2007	111	2007
Repeatability of measuring corneal subbasal nerve fiber length in individuals with type 2 diabetes N Efron, K Edwards, N Roper, N Pritchard, GP Sampson, AM Shahidi, ... Eye & contact lens 36 (5), 245-248, 2010	97	2010
Image texture in dental panoramic radiographs as a potential biomarker of osteoporosis MG Roberts, J Graham, H Devlin IEEE Transactions on biomedical engineering 60 (9), 2384-2392, 2013	91	2013
Image processing and analysis: a practical approach R Baldock, J Graham OUP Oxford, 1999	91	1999
Application of artificial neural networks to chromosome classification PA Errington, J Graham Cytometry 14 (6), 627-639, 1993	89	1993

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