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Published in Translational Vision Science & Technology, 2021
Three-dimensional UBM (3D-UBM) imaging of the anterior segment can be used to enable unique visualization and quantification of anterior segment structures.
Recommended citation: Helms, Richard. (2021). "Clinical 3D Imaging of the Anterior Segment With Ultrasound Biomicroscopy" Trans. Vis. Sci. Tech.. 10(3).
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Published in Translational Vision Science & Technology, 2022
This paper aimed to develop a fully automated deep learning ciliary body segmentation and assessment approach in three-dimensional ultrasound biomicroscopy (3D-UBM) images.
Recommended citation: Minhaz, Ahmed Tahseen. (2022). "Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images." Trans. Vis. Sci. Tech.. 11(10).
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Published in 2022 IEEE International Ultrasonics Symposium (IUS), 2022
This paper presents a deep learning-based method using a 2D U-Net to accelerate and generalize microvessel imaging from non-contrast ultrasound by removing tissue clutter more efficiently than traditional SVD approaches.
Recommended citation: Minhaz, Ahmed Tahseen. (2025). "Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement." J Digit Imaging. Inform. med.. 1-12.
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Published in Scientific Reports, 2024
This paper proposed a novel whole-eye 3D ophthalmic ultrasound B-scan (3D-UBS) system for automating image acquisition and improved 3D visualization for detecting intraocular foreign bodies.
Recommended citation: Minhaz, Ahmed Tahseen. (2024). "Assessment of intraocular foreign body using high resolution 3D ultrasound imaging." Scientic Reports. 14.
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Published in Journal of Imaging Informatics in Medicine, 2025
This paper addressed the limitations of inexpensive, high-frequency ultrasound biomicroscopy (UBM) systems in visualizing small ocular structures and anatomical landmarks, especially outside the focal area, by improving image quality and visibility of important ocular structures for clinical ophthalmology applications.
Recommended citation: Minhaz, Ahmed Tahseen. (2025). "Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement." J Digit Imaging. Inform. med.. 1-12.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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