Select Publications

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

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1. Vaghefi E, Yang S, Xie L, Hill S, Schmiedel O, Murphy R, Squirrell D. THEIA™ development, and testing of artificial intelligence‐based primary triage of diabetic retinopathy screening images in New Zealand. Diabetic Medicine. 2020 Aug 14:e14386.

2. Xie L, Yang S, Squirrell D, Vaghefi E. Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke. Plos one. 2020 Apr 10;15(4):e0225015.

3. 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

4. Vaghefi E, Hill S, Kersten HM, Squirrell D. Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular Degeneration: A Feasibility Study. Journal of Ophthalmology. 2020 Jan 13;2020.

5. Vaghefi E, Hill S, Kersten HM, Squirrell D. Quantification of Optical Coherence Tomography Angiography in Age and Age-Related Macular Degeneration Using Vessel Density Analysis. The Asia-Pacific Journal of Ophthalmology. 2020 Mar 1;9(2):137-43.

6. 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. 

7. 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. 

8. 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. 

9. 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.

10. 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