Timor Kadir
Timor Kadir
Optellum and Oxford University
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Citata da
Citata da
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
Saliency, scale and image description
T Kadir, M Brady
International Journal of Computer Vision 45, 83-105, 2001
An affine invariant salient region detector
T Kadir, A Zisserman, M Brady
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
Scale, saliency and image description
T Kadir
International Journal of Computer Vision 45 (2), 83-105, 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
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
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
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition.
T Kadir, R Bowden, EJ Ong, A Zisserman
BMVC, 1-10, 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
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
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
Lung cancer prediction using machine learning and advanced imaging techniques
T Kadir, F Gleeson
Translational lung cancer research 7 (3), 304, 2018
SpineNet: automated classification and evidence visualization in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Medical image analysis 41, 63-73, 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
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
Vertebrae detection and labelling in lumbar MR images
M Lootus, T Kadir, A Zisserman
Computational Methods and Clinical Applications for Spine Imaging …, 2014
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
Self-supervised learning for spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 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
Scale, saliency and scene description
T Kadir, JM Brady
Oxford University, 2002
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