Baidaa Al-Bander

Hybrid Feature Learning and Engineering Based Approach for Face Shape Classification (2019)
Presentation / Conference Contribution
Alzahrani, T., Al-Nuaimy, W., & Al-Bander, B. (2019, December). Hybrid Feature Learning and Engineering Based Approach for Face Shape Classification. Paper presented at 2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS), Taza, Morocco

Correction: Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (2019)
Journal Article
MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., Cheeseman, R., Willoughby, C. E., Brown, E. N., Spaeth, G. L., & Czanner, G. (2019). Correction: Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PloS one, 14(4), e0215056. https://doi.org/10.1371/journal.pone.0215056

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (2019)
Journal Article
MacCormick, I. J., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., Cheeseman, R., Willoughby, C. E., Brown, E. N., Spaeth, G. L., & Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PloS one, 14(1), e0209409 - e0209409. https://doi.org/10.1371/journal.pone.0209409

Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcar... Read More about Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.

Improving the resolution of retinal OCT with deep learning (2018)
Book
Xu, Y., Williams, B. M., Al-Bander, B., Yan, Z., Shen, Y., & Zheng, Y. (2018). Improving the resolution of retinal OCT with deep learning. Springer. https://doi.org/10.1007/978-3-319-95921-4_30

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis (2018)
Journal Article
Al-Bander, B., Williams, B. M., Al-Nuaimy, W., Al-Taee, M. A., Pratt, H., & Zheng, Y. (2018). Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10(4), 87 - 87. https://doi.org/10.3390/sym10040087

A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning (2018)
Presentation / Conference Contribution
Al-Bander, B., Williams, B. M., Al-Taee, M. A., Al-Nuaimy, W., & Zheng, Y. (2017, June). A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning. Presented at 2017 10th International Conference on Developments in eSystems Engineering (DeSE), Paris, Frane

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (2018)
Journal Article
Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., Zhao, Y., Coenen, F., & Zheng, Y. (2018). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging, 4(1), 4 - 4. https://doi.org/10.3390/jimaging4010004

The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur... Read More about Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography.

Automated glaucoma diagnosis using deep learning approach (2017)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., & Zheng, Y. (2017, March). Automated glaucoma diagnosis using deep learning approach. Presented at 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about Automated glaucoma diagnosis using deep learning approach.

Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc (2017)
Journal Article
Al-Bander, B., Al-Nuaimy, W., Williams, B. M., & Zheng, Y. (2018). Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc. Biomedical Signal Processing and Control, 40, 91 - 101. https://doi.org/10.1016/j.bspc.2017.09.008

Fast blur detection and parametric deconvolution of retinal fundus images (2017)
Presentation / Conference Contribution
Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017, September). Fast blur detection and parametric deconvolution of retinal fundus images. Presented at International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada

Blur is a significant problem in medical imaging which can hinder diagnosis and prevent further automated or manual processing. The problem of restoring an image from blur degradation remains a challenging task in image processing. Semi-blind deblurr... Read More about Fast blur detection and parametric deconvolution of retinal fundus images.

Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning (2017)
Presentation / Conference Contribution
Zheng, Y., Williams, B. M., Pratt, H., Al-Bander, B., Wu, X., & Zhao, Y. (2017, May). Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning

Purpose : Three-dimensional (3D) optical coherence tomography (OCT) images are increasingly used in the management of eye disease, yet there has been no corresponding increase in the availability of software tools to support the analysis of large amo... Read More about Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning.

Automatic Feature Learning Method for Detection of Retinal Landmarks (2017)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2016, August). Automatic Feature Learning Method for Detection of Retinal Landmarks. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents an automatic deep learning method for location detection of important retinal landmarks, the fovea and optic disc (OD) in digital fundus retinal images with the potential for use in an automated screening and grading system. The p... Read More about Automatic Feature Learning Method for Detection of Retinal Landmarks.

Visual Augmentation Glasses for People with Impaired Vision (2017)
Presentation / Conference Contribution
Al-Ataby, A., Younis, O., Al-Nuaimy, W., Al-Taee, M., Sharaf, Z., & Al-Bander, B. (2016, August). Visual Augmentation Glasses for People with Impaired Vision. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents the preliminary design and development of a set visual augmentation glasses with the potential to assist people with varying degrees of loss of vision. The wearable spectacles are intended to be non-obstructive, and therefore empl... Read More about Visual Augmentation Glasses for People with Impaired Vision.

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Diabetic macular edema grading based on deep neural networks (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Williams, B. M., & Zheng, Y. Diabetic macular edema grading based on deep neural networks. Presented at Ophthalmic Medical Image Analysis Third International Workshop, Athens, Greece

Diabetic Macular Edema (DME) is a major cause of vision loss in diabetes. Its early detection and treatment is therefore a vital task in management of diabetic retinopathy. In this paper, we propose a new featurelearning approach for grading the seve... Read More about Diabetic macular edema grading based on deep neural networks.

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes.
Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.

Baidaa Al-Bander's Outputs (36)