1. Acharya, U. R., Ng, E. Y. K., and Suri, J. S., Image modelling of human eye. Artech House, MA, USA, 2008a, April.
2. Acharya, U. R., Chua, K. C., Ng, E. Y. K., Wei, W., and Chee, C., Application of higher order spectra for the identification of diabetes retinopathy stages. J. Med. Syst. USA, 2008b. doi: 10.1007/s10916-008-9154-8 .
3. Bizios, D., Heijl, A., and Bengtsson, B., Trained artificial neural network for glaucoma diagnosis using visual field data: a comparison with conventional algorithms. J. Glaucoma. 16:120–28, 2007. doi: 10.1097/IJG.0b013e31802b34e4 .
4. Bowd, C., Chan, K., Zangwill, L. M., Goldbaum, M. H., Lee, T. W., Sejnowski, T. J., et al. Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Invest. Ophthalmol. Vis. Sci. 43:3444–3454, 2002.
5. Caprioli, J., and Miller, J., Measurement of relative nerve fiber layer surface height in Glaucoma. Ophthalmology. 96:633–641, 1989.