Research output per year
Research output per year
Personal profile
Biography
Parmida Ghorbanian is a PhD student at the University of Western Australia. Her work focuses on bridging the gap between deep learning and medical imaging, improving diagnostic outcomes for cardiovascular disease. Her research applies various deep learning techniques to retinal polarization sensitive optical coherence tomography (PS-OCT) images to generate meaningful predictions about cardiovascular disease states.
Parmida was awarded the Novel Heart Disease Imaging Through AI HDR Scholarship and has since won numerous awards for her work, including:
- Student Researcher award at the 2024 WACRA Heart-to-vessel showcase
- Winner of the 2024 South Metropolitan Health Service 3-Minute Project Competition.
- UWA Visualise Your Thesis (VYT) runner up.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Research output
- 1 Review article
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Ophthalmic OCT-Based Image Generation Using GANs: A Scoping Review
Afsharan, H., Ghorbanian, P., Navaeipour, F., Fayyazifar, N., Lyu, Y., Bennamoun, M., Cense, B. & Dwivedi, G., 2026, In: Journal of Bio-optics. 2, 1, 26 p., 2603003255.Research output: Contribution to journal › Review article › peer-review
Open Access