Articoli con mandati relativi all'accesso pubblico - Timor KadirUlteriori informazioni
Non disponibili pubblicamente: 2
Automatic intervertebral discs localization and segmentation: a vertebral approach
A Jamaludin, M Lootus, T Kadir, A Zisserman
International Workshop and Challenge on Computational Methods and Clinical …, 2015
Mandati: UK Research & Innovation
Learning new parts for landmark localization in whole-body CT scans
V Potesil, T Kadir, M Brady
IEEE transactions on medical imaging 33 (4), 836-848, 2013
Mandati: Cancer Research UK, UK Engineering and Physical Sciences Research Council
Disponibili pubblicamente: 32
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
Mandati: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
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
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Lung cancer prediction using machine learning and advanced imaging techniques
T Kadir, F Gleeson
Translational lung cancer research 7 (3), 304, 2018
Mandati: UK Research & Innovation
SpineNet: automated classification and evidence visualization in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Medical image analysis 41, 63-73, 2017
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
Mandati: National Institute for Health Research, UK
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
Mandati: National Institute for Health Research, UK
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
Mandati: US National Institutes of Health
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
Mandati: European Commission
Self-supervised learning for spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
Mandati: UK Engineering and Physical Sciences Research Council, National Institute …
Vertebrae detection and labelling in lumbar MR images
M Lootus, T Kadir, A Zisserman
Computational Methods and Clinical Applications for Spine Imaging …, 2014
Mandati: European Commission
SpineNet: automatically pinpointing classification evidence in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
Mandati: Fundação para a Ciência e a Tecnologia, Portugal, UK Engineering and …
Using manifold learning for atlas selection in multi-atlas segmentation
AK Hoang Duc, M Modat, KK Leung, MJ Cardoso, J Barnes, T Kadir, ...
PloS one 8 (8), e70059, 2013
Mandati: US National Institutes of Health, Canadian Institutes of Health Research …
Can atlas-based auto-segmentation ever be perfect? Insights from extreme value theory
B Schipaanboord, D Boukerroui, D Peressutti, J Van Soest, T Lustberg, ...
IEEE transactions on medical imaging 38 (1), 99-106, 2018
Mandati: UK Research & Innovation
Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist
A Jamaludin, M Lootus, T Kadir, A Zisserman, J Urban, MC Battié, ...
European Spine Journal 26 (5), 1374-1383, 2017
Mandati: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
A convolutional approach to vertebrae detection and labelling in whole spine MRI
R Windsor, A Jamaludin, T Kadir, A Zisserman
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Mandati: Cancer Research UK, UK Engineering and Physical Sciences Research Council
Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study
Y Ishimoto, A Jamaludin, C Cooper, K Walker-Bone, H Yamada, ...
BMC Musculoskeletal Disorders 21, 1-6, 2020
Mandati: UK Medical Research Council
Automatic modic changes classification in spinal mri
A Jamaludin, T Kadir, A Zisserman
International Workshop and Challenge on Computational Methods and Clinical …, 2015
Mandati: UK Research & Innovation
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