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 | 10629 | 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 | 877 | 1992 |
Handbook of neural computation E Fiesler, R Beale CRC Press, 1996 | 351* | 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 | 294 | 2011 |
Trainable method of parametric shape description TF Cootes, DH Cooper, CJ Taylor, J Graham Image and Vision Computing 10 (5), 289-294, 1992 | 282 | 1992 |
An introduction to active shape models T Cootes, ER Baldock, J Graham Image processing and analysis 328, 223-248, 2000 | 267 | 2000 |
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 | 256 | 2014 |
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 | 255 | 2015 |
Robust active shape model search for medical image analysis M Rogers, J Graham Proceedings of the MIUA, 81-84, 2002 | 212* | 2002 |
Robust active shape model search M Rogers, J Graham Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 202 | 2002 |
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 | 187 | 1993 |
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 | 185 | 2013 |
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 | 172 | 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 | 148 | 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 | 136 | 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 | 109 | 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 | 93 | 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 | 89 | 2013 |
Image processing and analysis: a practical approach R Baldock, J Graham OUP Oxford, 1999 | 88 | 1999 |
Application of artificial neural networks to chromosome classification PA Errington, J Graham Cytometry 14 (6), 627-639, 1993 | 88 | 1993 |