| You said that? JS Chung, A Jamaludin, A Zisserman British Machine Vision Conference 2017, 2017 | 219 | 2017 |
| 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, ... | 150* | 2017 |
| You said that?: Synthesising talking faces from audio A Jamaludin, JS Chung, A Zisserman International Journal of Computer Vision 127, 1767-1779, 2019 | 137 | 2019 |
| SpineNet: Automated classification and evidence visualization in spinal MRIs A Jamaludin, T Kadir, A Zisserman Medical Image Analysis 41, 63-73, 2017 | 117 | 2017 |
| Self-supervised learning for spinal MRIs A Jamaludin, T Kadir, A Zisserman Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 72 | 2017 |
| SpineNet: automatically pinpointing classification evidence in spinal MRIs A Jamaludin, T Kadir, A Zisserman International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 72 | 2016 |
| Automatic modic changes classification in spinal mri A Jamaludin, T Kadir, A Zisserman International Workshop and Challenge on Computational Methods and Clinical …, 2015 | 17 | 2015 |
| 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 | 15 | 2020 |
| 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 | 15 | 2020 |
| 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 | 12 | 2015 |
| Identifying scoliosis in population-based cohorts: automation of a validated method based on total body dual energy X-ray absorptiometry scans A Jamaludin, J Fairbank, I Harding, T Kadir, TJ Peters, A Zisserman, ... Calcified Tissue International 106, 378-385, 2020 | 11 | 2020 |
| 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 | 9 | 2021 |
| 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 | 8 | 2022 |
| 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 | 8 | 2021 |
| Predicting Scoliosis in DXA Scans Using Intermediate Representations A Jamaludin, T Kadir, E Clark, A Zisserman | 6 | 2018 |
| 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 | 5 | 2022 |
| Automated analysis of spinal MRI using deep learning M Jamaludin University of Oxford, 2017 | 5 | 2017 |
| 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 | 3 | 2022 |
| A deep learning approach to private data sharing of medical images using conditional gans H Sun, J Plawinski, S Subramaniam, A Jamaludin, T Kadir, A Readie, ... arXiv preprint arXiv:2106.13199, 2021 | 3 | 2021 |
| The ladder algorithm: finding repetitive structures in medical images by induction R Windsor, A Jamaludin 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1729-1733, 2020 | 3 | 2020 |
Andrew ZissermanUniversity of OxfordEmail verificata su robots.ox.ac.uk
