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Timor Kadir
Timor Kadir
Optellum and Oxford University
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
44612005
Saliency, scale and image description
T Kadir, M Brady
International Journal of Computer Vision 45, 83-105, 2001
12412001
An affine invariant salient region detector
T Kadir, A Zisserman, M Brady
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
7312004
Scale, saliency and image description
T Kadir
International Journal of Computer Vision 45 (2), 83-105, 2001
5832001
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
2332004
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
1842013
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
1772003
Lung cancer prediction using machine learning and advanced imaging techniques
T Kadir, F Gleeson
Translational lung cancer research 7 (3), 304, 2018
1422018
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
1402017
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
1332020
SpineNet: automated classification and evidence visualization in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Medical image analysis 41, 63-73, 2017
1302017
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition.
T Kadir, R Bowden, EJ Ong, A Zisserman
BMVC, 1-10, 2004
1292004
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
1272020
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
1252020
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
1192003
Lung cancer prediction by Deep Learning to identify benign lung nodules
MA Heuvelmans, PMA van Ooijen, S Ather, CF Silva, D Han, CP Heussel, ...
Lung cancer 154, 1-4, 2021
1102021
Self-supervised learning for spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
802017
Vertebrae detection and labelling in lumbar MR images
M Lootus, T Kadir, A Zisserman
Computational Methods and Clinical Applications for Spine Imaging …, 2014
792014
SpineNet: automatically pinpointing classification evidence in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2016
762016
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
692015
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