Publications

Journal and peer-reviewed conference papers are being published based on our ongoing research.

Hari, Neelam, Carrie Burgess, and Ehsan Vaghefi. "Repeatability, reproducibility, and accuracy of a novel imaging technique for measurement of ocular axial length." Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 11317. International Society for Optics and Photonics, 2020.
Vaghefi, E., Hill, S., Kersten, H. M., & Squirrell, D. (2020). Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular Degeneration: A Feasibility Study. JOURNAL OF OPHTHALMOLOGY, 2020, 7 pages. doi:10.1155/2020/7493419
Hill, S., Vaghefi, E., Kersten, H., & Squirrell, D. (2019). Multi-input artificial intelligence design for multi-modal retinal imaging diagnosis of intermediate dry age related macular degeneration. In CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY Vol. 47 (pp. 61-62). WILEY.
Hill, S., Mullins, P., Schmiedel, O., Alshaikhi, M., Vaghefi, E., & Squirrell, D. (2019). Epidemiology of diabetic retinopathy and maculopathy in Auckland, New Zealand: a regional photo-screening program 2006-2018. In CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY Vol. 47 (pp. 55). WILEY.
Sadeghi, S., Al-Ani, H. H., Hill, S., Alsheikhi, M., Vaghefi, E., & Squirrell, D. (2019). Efficacy of intravitreal avastin for the treatment of centre involving diabetic maculopathy in a real-world setting (Auckland DME study II). In CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY Vol. 47 (pp. 147). WILEY.
Xie, L., Yang, S., Squirrell, D., & Vaghefi, E. (2019). Towards implementation of AI in New Zealand national screening program: Cloud-based, Robust, and Bespoke. doi:10.1101/823260
Shalbaf F, Lovell NH, Dokos S, Trew M, Vaghefi E. Foveal eccentricity can influence activation threshold in subretinal electrical stimulation. Biomedical Physics & Engineering Express. 2019 Mar 12;5(3):035009.
Vaghefi E, Yang S, Hill S, Humphrey G, Walker N, Squirrell D. "Detection of smoking status from retinal images; a Convolutional Neural Network study." Scientific reports. 2019 May 9;9(1):7180.
Vaghefi, E., Squirrell, D., “Primary grading of diabetic retinopathy from retinal images; preliminary results of a convolutional neural network study.” - , Branch meeting Royal Australian and New Zealand College of Ophthalmologists (RANZCO) - Auckland 2019
Burgess, C., Hari, N., Vaghefi, E., "Lasers, Hot Glue, and Legos: Designing a Device to Predict Myopia in Children", Queenstown Research Week - Queenstown Aug 2019
Hari, N., Burgess, C.,Vaghefi, E. , "Lasers, Hot-Glue, and Lego continues", Queenstown Research Week - Queenstown Aug 2019
Xie, L., Yang, S., Squirrell, D., Vaghefi, E., "Optimizing the performance of Microsoft Azure™ cloud-based AI in Diabetic Retinopathy (DR) screening. Does QA pre-screening improve the accuracy of AI?", Branch meeting Royal Australian and New Zealand College of Ophthalmologists (RANZCO) - Sydney 2019
Hill, S., Vaghefi, E., Squirrell, D., Epidemiology of diabetic retinopathy and maculopathy in Auckland, New Zealand: A regional photo-screening program 2006-2019" , Branch meeting Royal Australian and New Zealand College of Ophthalmologists (RANZCO) - Sydney 2019
Squirrell, D., Hill, S., Yang, S., Vaghefi, E. , "PRIMARY GRADING OF DIABETIC RETINOPATHY FROM RETINAL IMAGES USING A CUSTOM DESIGNED CNN. The Auckland experience.”, Branch meeting Royal Australian and New Zealand College of Ophthalmologists (RANZCO) - Sydney 2019
Hill, S., Vaghefi, E., Squirrell, D., "Multi-input input artificial intelligence design for multi-modal retinal imaging diagnosis of intermediate dry age related macular degeneration.", Branch meeting Royal Australian and New Zealand College of Ophthalmologists (RANZCO) - Sydney 2019