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Research

Dr Bryan Williams

Anniversary Lecturer

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  1. Published

    Imaging of corneal neovascularization: Optical coherence tomography angiography and fluorescence angiography

    Brunner, M., Romano, V., Steger, B., Vinciguerra, R., Lawman, S., Williams, B., Hicks, N., Czanner, G., Zheng, Y., Willoughby, C. E. & Kaye, S. B., 1/03/2018, In: Investigative Ophthalmology and Visual Science. 59, 3, p. 1263-1269 7 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Learning Active Contour Models for Medical Image Segmentation

    Chen, X., Williams, B., Vallabhanehi, S., Czanner, G., Williams, R. & Zheng, Y., 9/01/2020, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 11632-11640 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review.

    Coan, L., Williams, B. M., Adithya, V. K., Upadhyaya, S., Czanner, S., Venkatesh, R., Willoughby, C. E., Srinivasan, K. & Czanner, G., 12/04/2022, In: arXiv. abs/2204.05591

    Research output: Contribution to Journal/Magazine › Journal article

  4. Published

    Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review

    Coan, L. J., Williams, B. M., Krishna Adithya, V., Upadhyaya, S., Alkafri, A., Czanner, S., Venkatesh, R., Willoughby, C. E., Kavitha, S. & Czanner, G., 1/01/2023, In: Survey of Ophthalmology. 68, 1, p. 17-41 25 p.

    Research output: Contribution to Journal/Magazine › Review article › peer-review

  5. Published

    Improved artificial intelligence for glaucoma grading from fundus photographs via uncertainty-informed decision referral

    Czanner, G., MacCormick, I. J. C., Williams, B., Zheng, Y., Czanner, S., Tatham, A., Trucco, M., Li, Y., Congdon, N., Venkatesh, K. A., Kavitha, S. & Willoughby, C. E., 22/11/2019.

    Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

  6. A Novel Deep Learning Based OCTA De-striping Method

    Gao, D., Celik, N., Wu, X., Williams, B. M., Stylianides, A. & Zheng, Y., 1/01/2020, Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Springer, Vol. 2019. p. 189-197 9 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    A deep convolutional neural network-based approach for superficial dorsal hand vein pattern matching

    Gu, X., Williams, B. & Black, S., 14/09/2020.

    Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

  8. Published

    Graph-context Attention Networks for Size-varied Deep Graph Matching

    Jiang, Z., Rahmani, H., Angelov, P., Black, S. & Williams, B., 27/09/2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 2333-2342 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image.

    Jiang, Z., Rahmani, H., Black, S. & Williams, B. M., 20/06/2023, In: CoRR. abs/2304.14299

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    3D Points Splatting for Real-Time Dynamic Hand Reconstruction.

    Jiang, Z., Rahmani, H., Black, S. & Williams, B. M., 21/12/2023, In: arXiv. 2312.13770.

    Research output: Contribution to Journal/Magazine › Journal article

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