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Amir Jamaludin
Amir Jamaludin
Verified email at robots.ox.ac.uk - Homepage
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Cited by
Year
You said that?
JS Chung, A Jamaludin, A Zisserman
British Machine Vision Conference 2017, 2017
2442017
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, ...
170*2017
You said that?: Synthesising talking faces from audio
A Jamaludin, JS Chung, A Zisserman
International Journal of Computer Vision 127, 1767-1779, 2019
1552019
SpineNet: Automated classification and evidence visualization in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Medical Image Analysis 41, 63-73, 2017
1302017
Self-supervised learning for spinal MRIs
A Jamaludin, T Kadir, A Zisserman
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
782017
SpineNet: automatically pinpointing classification evidence in spinal MRIs
A Jamaludin, T Kadir, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2016
752016
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
182020
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
182020
Automatic Modic changes classification in spinal MRI
A Jamaludin, T Kadir, A Zisserman
International Workshop and Challenge on Computational Methods and Clinical …, 2015
182015
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
132015
Identifying Scoliosis in Population‑Based Cohorts: Automation of a Validated Method Based on Total Body Dual Energy X‑ray Absorptiometry Scans
J Amir, J Fairbank, I Harding, K Timor, TJ Peters, A Zisserman, EM Clark
Calcified Tissue International 107 (2), 201-201, 2020
12*2020
External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine
A Grob, M Loibl, A Jamaludin, S Winklhofer, JCT Fairbank, T Fekete, ...
European Spine Journal 31 (8), 2137-2148, 2022
112022
Self-supervised multi-modal alignment for whole body medical imaging
R Windsor, A Jamaludin, T Kadir, A Zisserman
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
112021
Pattern recognition in musculoskeletal imaging using artificial intelligence
N Gorelik, J Chong, DJ Lin
Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
112020
Accurate prediction of lumbar microdecompression level with an automated MRI grading system
BL Roller, RD Boutin, TJ O’Gara, ZO Knio, A Jamaludin, J Tan, L Lenchik
Skeletal Radiology 50, 69-78, 2021
102021
Context-aware transformers for spinal cancer detection and radiological grading
R Windsor, A Jamaludin, T Kadir, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2022
82022
Predicting Scoliosis in DXA Scans Using Intermediate Representations
A Jamaludin, T Kadir, E Clark, A Zisserman
82018
Vision-language modelling for radiological imaging and reports in the low data regime
R Windsor, A Jamaludin, T Kadir, A Zisserman
arXiv preprint arXiv:2303.17644, 2023
62023
SpineNetV2: automated detection, labelling and radiological grading of clinical MR scans
R Windsor, A Jamaludin, T Kadir, A Zisserman
arXiv preprint arXiv:2205.01683, 2022
52022
Automated analysis of spinal MRI using deep learning
A Jamaludin
University of Oxford, 2017
52017
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