T. Kadir

发表

Michael Brady, Timor Kadir, M. Brady, 2001, International Journal of Computer Vision.

Cordelia Schmid, Luc Van Gool, Jiri Matas, 2005, International Journal of Computer Vision.

Scale Saliency: a novel approach to salient feature and scale selection

M. Brady, T. Kadir, 2003 .

Automatic classification of mammographic parenchymal patterns: a statistical approach

M. Brady, T. Kadir, S. Petroudi, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

An Affine Invariant Salient Region Detector

Andrew Zisserman, Michael Brady, Timor Kadir, 2004, ECCV.

Bayesian Networks for Clinical Decision Support in Lung Cancer Care

T. Kadir, A. Nicholson, M. Sesen, 2013, PloS one.

SpineNet: Automated classification and evidence visualization in spinal MRIs

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2017, Medical Image Anal..

Automated Radiological Grading of Spinal MRI

Andrew Zisserman, Timor Kadir, Meelis Lootus, 2015 .

Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition

Andrew Zisserman, Richard Bowden, Eng-Jon Ong, 2004, BMVC.

A Linguistic Feature Vector for the Visual Interpretation of Sign Language

David Windridge, Andrew Zisserman, Michael Brady, 2004, ECCV.

Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules

T. Kadir, R. Munden, J. Declerck, 2020, American journal of respiratory and critical care medicine.

Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.

Albert K. Hoang Duc, Alex F. Mendelson, Albert K. Hoang Duc, 2015, Medical physics.

Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications.

T. Kadir, F. Gleeson, S. Ather, 2019, Clinical radiology.

Lung Cancer Assistant: a hybrid clinical decision support application for lung cancer care

Fergus Gleeson, M. Berkan Sesen, Timor Kadir, 2014, Journal of The Royal Society Interface.

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

Andrew Zisserman, Timor Kadir, Meelis Lootus, 2017, European Spine Journal.

Scale Descriptors : Texture Description by Salient Scales

M. Brady, T. Kadir, 2002 .

The use of technology in the subcategorisation of osteoarthritis: a Delphi study approach

Mark T Elliott, Mark T. Elliott, E. Zeggini, 2020, Osteoarthritis and cartilage open.

Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study

T. Kadir, Sakae Tanaka, C. Cooper, 2020, BMC Musculoskeletal Disorders.

Identifying Scoliosis in Population-Based Cohorts: Automation of a Validated Method Based on Total Body Dual Energy X-ray Absorptiometry Scans

T. Peters, Andrew Zisserman, T. Kadir, 2020, Calcified Tissue International.

SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans

Andrew Zisserman, T. Kadir, A. Jamaludin, 2022, ArXiv.

Textural analysis demonstrates heterogeneous [18F]-fluorodeoxyglucose uptake in radiologically normal lung in patients with idiopathic pulmonary fibrosis

T. Kadir, A. Morice, J. M. Willaime, 2018, European Respiratory Journal.

Textural analysis demonstrates heterogeneous [18F]-FDG uptake in radiologically normal lung in patients with idiopathic pulmonary fibrosis

T. Kadir, A. Morice, J. M. Willaime, 2018 .

Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a "coffee-break".

D. Boukerroui, T. Kadir, F. Gleeson, 2018, European journal of radiology.

Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading

Andrew Zisserman, T. Kadir, A. Jamaludin, 2022, MICCAI.

Survival Prediction and Treatment Recommendation with Bayesian Techniques in Lung Cancer

Michael Brady, René Bañares-Alcántara, Timor Kadir, 2012, AMIA.

Lung cancer prediction by Deep Learning to identify benign lung nodules.

H. Kauczor, T. Kadir, M. Oudkerk, 2021, Lung cancer.

Lung cancer prediction using machine learning and advanced imaging techniques.

Fergus Gleeson, Timor Kadir, T. Kadir, 2018, Translational lung cancer research.

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs pdf

Mark Baillie, Timor Kadir, David Ohlssen, 2021, ArXiv.

Simplified Computation for Nonparametric Windows Method of Probability Density Function Estimation

Michael Brady, Niranjan Joshi, Timor Kadir, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Radiological Grading of Spinal MRI

Andrew Zisserman, Timor Kadir, Meelis Lootus, 2014 .

Automated measurement of size of spinal curve in population-based cohorts: Validation of a method based on total body dual energy X-ray absorptiometry scans.

Andrew Zisserman, T. Kadir, A. Jamaludin, 2023, Bone.

A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2020, MICCAI.

Predicting Scoliosis in DXA Scans Using Intermediate Representations

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2018, CSI@MICCAI.

SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2016, MICCAI.

Automatic Modic Changes Classification in Spinal MRI

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2015, CSI@MICCAI.

Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging

Andrew Zisserman, T. Kadir, A. Jamaludin, 2021, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime

Andrew Zisserman, T. Kadir, A. Jamaludin, 2023, ArXiv.

External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules

T. Kadir, J. Declerck, F. Gleeson, 2020, Thorax.

Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images

Michael Brady, Günther Platsch, Timor Kadir, 2014, International Journal of Computer Vision.

Self-supervised Learning for Spinal MRIs

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2017, DLMIA/ML-CDS@MICCAI.

Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory

Djamal Boukerroui, Andre Dekker, Timor Kadir, 2019, IEEE Transactions on Medical Imaging.

Vertebrae Detection and Labelling in Lumbar MR Images

Andrew Zisserman, Timor Kadir, Meelis Lootus, 2014 .

Assessing The Quality of Deformable CT-MR Registration for the Purpose of Multimodal Radiotherapy Contouring

T. Kadir, C. Stevens, P. Parikh, 2011 .

The utility of a convolutional neural network (CNN) model score for cancer risk in indeterminate small solid pulmonary nodules, compared to clinical practice according to British Thoracic Society guidelines.

T. Kadir, F. Gleeson, L. Pickup, 2021, European journal of radiology.

A Novel Method for Registration of US/MR of the Liver Based on the Analysis of US Dynamics

Eigil Samset, Eivind Lyche Melvær, Sergiy Milko, 2009, MICCAI.

External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966

T. Kadir, J. Niinimäki, A. Jamaludin, 2022, Spine.

Predicting Spine Geometry and Scoliosis from DXA Scans

Andrew Zisserman, Timor Kadir, Amir Jamaludin, 2019 .

Organ Segmentation with Level Sets Using Local Shape and Appearance Priors

Timo Kohlberger, Christopher V. Alvino, Gareth Funka-Lea, 2009, MICCAI.

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)

T. Kadir, A. Jamaludin, D. Ohlssen, 2023, PloS one.

Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images

M. Brady, T. Kadir, G. Platsch, 2014, International Journal of Computer Vision.

Improved Anatomical Landmark Localization in Medical Images Using Dense Matching of Graphical Models

Günther Platsch, Mike Brady, Timor Kadir, 2010, BMVC.

A retrospective validation study of three models to estimate the probability of malignancy in patients with small pulmonary nodules from a tertiary oncology follow-up centre.

T. Kadir, F. Gleeson, L. Pickup, 2017, Clinical radiology.

Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation

Sébastien Ourselin, M. Jorge Cardoso, Marc Modat, 2013, PloS one.

TU-AB-202-10: How Effective Are Current Atlas Selection Methods for Atlas-Based Auto-Contouring in Radiotherapy Planning?

T Kadir, D Peressutti, B Schipaanboord, 2016, Medical physics.

Manifold learning for atlas selection in multi-atlas-based segmentation of hippocampus

Sébastien Ourselin, Marc Modat, Kelvin K. Leung, 2012, Medical Imaging.

An analysis of the Scale Saliency algorithm

Michael Brady, Djamal Boukerroui, Timor Kadir, 2003 .

Estimating the Joint Statistics of Images Using Nonparametric Windows with Application to Registration Using Mutual Information

Richard Bowden, Timor Kadir, Nicholas D. H. Dowson, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image template matching using Mutual Information and NP-Windows

Richard Bowden, Timor Kadir, Nicholas D. H. Dowson, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Automatic registration of cardiac PET/CT for attenuation correction

Michael Casey, Timor Kadir, James Hamill, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.