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Amir Jamaludin
Amir Jamaludin
Email verificata su robots.ox.ac.uk - Home page
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Citata da
Citata da
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You said that?
JS Chung, A Jamaludin, A Zisserman
British Machine Vision Conference 2017, 2017
2512017
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, ...
174*2017
You said that?: Synthesising talking faces from audio
A Jamaludin, JS Chung, A Zisserman
International Journal of Computer Vision 127, 1767-1779, 2019
1672019
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
802017
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
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
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
142022
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
Pattern recognition in musculoskeletal imaging using artificial intelligence
N Gorelik, J Chong, DJ Lin
Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
122020
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
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
112021
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
72023
A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs)
H Sun, J Plawinski, S Subramaniam, A Jamaludin, T Kadir, A Readie, ...
Plos one 18 (7), e0280316, 2023
6*2023
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
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