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- 2022
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Mark
Machine learning algorithm for classification of breast ultrasound images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
(
- Contribution to journal › Article
-
Mark
3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting
2021) 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) In IEEE Winter Conference on Applications of Computer Vision (WACV) p.1887-1896(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images
2021) 2020 25th International Conference on Pattern Recognition In International Conference on Pattern Recognition p.8968-8975(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A Novel Joint Points and Silhouette-Based Method to Estimate 3D Human Pose and Shape
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Generic Merging of Structure from Motion Maps with a Low Memory Footprint
2021) 2020 25th International Conference on Pattern Recognition In International Conference on Pattern Recognition p.4385-4392(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2020
-
Mark
Differentiable fixed-rank regularisation using bilinear parameterisation
2020) 30th British Machine Vision Conference, BMVC 2019(
- Contribution to conference › Paper, not in proceeding
-
Mark
Domain-adversarial neural network for improved generalization performance of gleason grade classification
2020) Medical Imaging 2020: Digital Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11320.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
-
Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Generalization of Parameter Recovery in Binocular Vision for a Planar Scene
(
- Contribution to journal › Article