| A comparison of affine region detectors K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ... International journal of computer vision 65, 43-72, 2005 | 4314 | 2005 |
| Saliency, scale and image description T Kadir, M Brady International Journal of Computer Vision 45, 83-105, 2001 | 1217 | 2001 |
| An affine invariant salient region detector T Kadir, A Zisserman, M Brady Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 725 | 2004 |
| Scale, saliency and image description T Kadir International Journal of Computer Vision 45 (2), 83-105, 2001 | 575 | 2001 |
| A linguistic feature vector for the visual interpretation of sign language R Bowden, D Windridge, T Kadir, A Zisserman, M Brady Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 234 | 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 | 169 | 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 | 168 | 2013 |
| Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition. T Kadir, R Bowden, EJ Ong, A Zisserman BMVC, 1-10, 2004 | 126 | 2004 |
| 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 | 116 | 2003 |
| 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 | 101 | 2020 |
| 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, 1374-1383, 2017 | 101 | 2017 |
| SpineNet: automated classification and evidence visualization in spinal MRIs A Jamaludin, T Kadir, A Zisserman Medical image analysis 41, 63-73, 2017 | 96 | 2017 |
| 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 | 94 | 2020 |
| Lung cancer prediction using machine learning and advanced imaging techniques T Kadir, F Gleeson Translational lung cancer research 7 (3), 304, 2018 | 91 | 2018 |
| Assessing the accuracy of a deep learning method to risk stratify indeterminate pulmonary nodules PP Massion, S Antic, S Ather, C Arteta, J Brabec, H Chen, J Declerck, ... American journal of respiratory and critical care medicine 202 (2), 241-249, 2020 | 79 | 2020 |
| SpineNet: automatically pinpointing classification evidence in spinal MRIs A Jamaludin, T Kadir, A Zisserman Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 69 | 2016 |
| Vertebrae detection and labelling in lumbar MR images M Lootus, T Kadir, A Zisserman Computational Methods and Clinical Applications for Spine Imaging …, 2014 | 69 | 2014 |
| Self-supervised learning for spinal MRIs A Jamaludin, T Kadir, A Zisserman Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 65 | 2017 |
| 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 | 63 | 2015 |
| Scale, saliency and scene description T Kadir, JM Brady Oxford University, 2002 | 61 | 2002 |
