A comparison of affine region detectors K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ... International journal of computer vision 65 (1), 43-72, 2005 | 4221 | 2005 |
Saliency, scale and image description T Kadir, M Brady International Journal of Computer Vision 45 (2), 83-105, 2001 | 1197 | 2001 |
An affine invariant salient region detector T Kadir, A Zisserman, M Brady European conference on computer vision, 228-241, 2004 | 720 | 2004 |
Scale, saliency and image description T Kadir International Journal of Computer Vision 45 (2), 83-105, 2001 | 578 | 2001 |
A linguistic feature vector for the visual interpretation of sign language R Bowden, D Windridge, T Kadir, A Zisserman, M Brady European Conference on Computer Vision, 390-401, 2004 | 226 | 2004 |
Automatic classification of mammographic parenchymal patterns: A statistical approach S Petroudi, T Kadir, M Brady Proceedings of the 25th Annual International Conference of the IEEE …, 2003 | 166 | 2003 |
Bayesian networks for clinical decision support in lung cancer care MB Sesen, AE Nicholson, R Banares-Alcantara, T Kadir, M Brady PloS one 8 (12), e82349, 2013 | 153 | 2013 |
Scale saliency: A novel approach to salient feature and scale selection T Kadir, M Brady 2003 International Conference on Visual Information Engineering VIE 2003, 25-28, 2003 | 137 | 2003 |
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition. T Kadir, R Bowden, EJ Ong, A Zisserman BMVC, 1-10, 2004 | 119 | 2004 |
ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention … A Jamaludin, M Lootus, T Kadir, A Zisserman, J Urban, MC Battié, ... European spine journal 26 (5), 1374-1383, 2017 | 81 | 2017 |
SpineNet: automated classification and evidence visualization in spinal MRIs A Jamaludin, T Kadir, A Zisserman Medical image analysis 41, 63-73, 2017 | 71 | 2017 |
External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules DR Baldwin, J Gustafson, L Pickup, C Arteta, P Novotny, J Declerck, ... Thorax 75 (4), 306-312, 2020 | 70 | 2020 |
Vertebrae detection and labelling in lumbar MR images M Lootus, T Kadir, A Zisserman Computational methods and clinical applications for spine imaging, 219-230, 2014 | 68 | 2014 |
Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications S Ather, T Kadir, F Gleeson Clinical radiology 75 (1), 13-19, 2020 | 67 | 2020 |
SpineNet: automatically pinpointing classification evidence in spinal MRIs A Jamaludin, T Kadir, A Zisserman International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 66 | 2016 |
Lung cancer prediction using machine learning and advanced imaging techniques T Kadir, F Gleeson Translational lung cancer research 7 (3), 304, 2018 | 60 | 2018 |
Scale, saliency and scene description T Kadir, JM Brady Oxford University, 2002 | 59 | 2002 |
Unsupervised non-parametric region segmentation using level sets TKM Brady, E House, E Place, O Summertown International Conference on computer vision 2, 1267-1274, 2003 | 58 | 2003 |
Methods of analyzing a selected region of interest in medical image data J Declerck, T Kadir, MD Kelly US Patent 8,498,492, 2013 | 57 | 2013 |
Validation of clinical acceptability of an atlas‐based segmentation algorithm for the delineation of organs at risk in head and neck cancer AK Hoang Duc, G Eminowicz, R Mendes, SL Wong, J McClelland, ... Medical physics 42 (9), 5027-5034, 2015 | 55 | 2015 |