A. Sharma, Emerging Simplified Retinal Imaging, Dev Ophthalmol. Basel, Karger, vol.60, pp.56-62, 2017.
DOI : 10.1159/000459690

R. Besenczi, K. Szitha, B. Harangi, A. Csutak, and A. Hajdu, Automatic optic disc and optic cup detection in retinal images acquired by mobile phone, 9 th Int. Symp. on Image and Signal Processing and Analysis (ISPA), 2015.

P. A. Newman-casey, Portable non-mydriatic device closes gap on tele-glaucoma screening, Modern Medicine Feature Articles, 2016.

S. Mamtora, A. Sandinha, M. T. Ajith, A. Song, and D. H. Steel, Smartphone ophthalmoscopy: a potential replacement for the direct ophthalmoscope, Eye, vol.32, issue.11, pp.1766-1771, 2018.

S. S. Devi, K. I. Ramachandran, and A. Sharma, Retinal Vasculature Segmentation in Smartphone Ophthalmoscope Images, 7th World Congress on Bioengineering, IFMBE Proceedings, vol.52, 2015.

R. Rajalakshm, R. Subashini, R. Mohan-anjana, and V. Mohan, Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence, Eye, vol.32, pp.1138-1144, 2018.

M. Blanckenberg, C. Worst, and C. Scheffer, Development of a Mobile Phone Based Ophthalmoscope for Telemedicine, Proceedings of the IEEE Engineering in Medicine and Biology Conference, pp.5236-5239, 2011.

S. Wang, K. Jin, H. Lu, C. Cheng, J. Ye et al., Human visual system-based fundus image quality assessment of portable fundus camera photographs, IEEE Trans. on Medical Imaging, vol.35, pp.1046-1055, 2016.

A. Russo, F. Morescalchi, C. Costagliola, L. Delcassi, and F. Semeraro, A Novel Device to Exploit the Smartphone Camera for Fundus Photography, Journal of Ophthalmology, 2015.

A. Russo, F. Morescalchi, C. Costagliola, L. Delcassi, and F. Semeraro, Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Diabetic Retinopathy, American Journal of Ophthalmology, vol.159, pp.360-364, 2015.

S. Suriyal, C. Druzgalski, and K. Gautam, Mobile Assisted Diabetic Retinopathy Detection using Deep Neural Network, Global Medical Engineering physics exchanges (GMEPE), 2018.
DOI : 10.1109/gmepe-pahce.2018.8400760

D. Koukounis, C. Ttofis, A. Papadopoulos, and T. Theocharides, A high performance hardware architecture for portable, lowpower retinal vessel segmentation, INTEGRATION journal, vol.47, issue.3, pp.377-386, 2014.

F. Yin, B. H. Lee, A. P. Yow, Y. Quan, and D. W. Wong, Automatic Ocular Disease Screening and Monitoring Using a Hybrid Cloud System, 2016 IEEE International Conference on Internet of Things (iThings), pp.2663-268, 2017.

J. Kaur and R. , Low cost cataract detection system using smart phone, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), pp.1607-1609, 2015.
DOI : 10.1109/icgciot.2015.7380724

A. Bourouis, M. Feham, M. A. Hossain, and L. Zhang, An intelligent mobile based decision support system for retinal disease diagnosis, Decision Support Systems, vol.59, pp.341-350, 2014.

G. G. Gardner, D. Keating, T. H. Williamson, and A. T. Elliott, Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool, Br. J. Ophthalmol, vol.80, pp.940-944, 1996.

Y. Elloumi, M. Akil, and N. Kehtarnavaz, A Computationally Efficient Retina Detection and Enhancement Image Processing Pipeline for Smartphone-Captured Fundus Images, Journal of Multimedia Information System
URL : https://hal.archives-ouvertes.fr/hal-01796763

Y. Elloumi, M. Akil, and N. Kehtarnavaz, A mobile computer aided system for optic nerve head detection, Computer Methods and Programs in Biomedicine (CMPB), vol.162, pp.139-148, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01796762

M. Mohammadpour, Z. Heidari, M. Mirghorbani, and H. Hashemi, Smartphones, tele-ophthalmology, and VISION 2020, vol.10, 2017.

B. C. Toy, D. J. Myung, L. He, C. K. Pan, R. T. Chang et al., Smartphone-Based Dilated fundus Photography And Near Visual Acuity testing as Inexpensive Screening Tools to Detect Referral Warranted Diabetic Eye Disease, Retina, vol.36, issue.5, pp.1000-1008, 2016.

A. Russo, W. Mapham, R. Turano, C. Costagliola, F. Morescalchi et al., Comparison of Smartphone Ophthalmoscopy With SlitLamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio, J Glaucoma, vol.25, issue.9, 2016.

M. E. Ryan, R. Rajalakshmi, V. Prathiba, R. M. Anjana, H. Ranjani et al., Comparison Among Methods of Retinopathy Assessment (CAMRA) Study, vol.122, issue.10, pp.2038-2081, 2015.

R. Rajalakshmi, S. Arulmalar, M. Usha, V. Prathiba, K. S. Kareemuddin et al., Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening, PLoS ONE, vol.10, issue.9, p.138285

J. M. Micheletti, A. M. Hendrick, F. N. Khan, D. C. Ziemer, and F. J. Pasquel, Current and Next Generation Portable Screening Devices for Diabetic Retinopathy, Journal of Diabetes Science and Technology, vol.10, issue.2, pp.295-300, 2016.

M. L. Muiesan, M. Salvetti, A. Paini, M. Riviera, C. Pintossi et al., Ocular fundus photography with a smartphone device in acute hypertension, Journal of Hypertension, vol.35, issue.8, pp.1660-1665, 2017.

S. M. Thomas, M. M. Jeyaraman, W. G. Hodge, C. Hutnik, J. Costella et al., The effectiveness of teleglaucoma versus inpatient examination for glaucoma screening: a systematic review and meta-analysis, PLoS One, vol.9, issue.12, p.113779, 2014.

S. C. Hong, G. Wynn-williams, and G. Wilson, Safety of iPhone retinal photography, Journal of medical engineering and technology, vol.41, issue.3, pp.165-169, 2017.

D. Toslak, D. Thapa, Y. Chen, M. K. Erol, R. V. Chan et al., Trans-palpebral illumination: an approach for wideangle fundus photography without the need for pupil dilation, Optics Letters, vol.41, issue.12, 2016.

A. R. Wu, S. Fouzdar-jain, and D. W. Suh, Comparison Study of Funduscopic Examination Using a Smartphone-Based Digital Ophthalmoscope and the Direct Ophthalmoscope, Journal of Pediatric Ophthalmology & Strabismus, vol.55, issue.3, 2018.

H. N. Khanamiri, A. Nakatsuka, and J. El-annan, Smartphone Fundus Photography, Journal of Visualized Experiments, vol.125, p.55958, 2017.

T. N. Kim, F. Myers, C. Reber, P. J. Loury, P. Loumou et al., A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging, TVST, vol.7, issue.5, 2018.

A. Sharma, S. D. Subramaniam, K. Ramachandran, C. Lakshmikanthan, S. Krishna et al., Smartphonebased fundus camera device (Mii ret cam) and technique with ability to image peripheral retina, Eur J Ophthalmol, vol.26, issue.2, pp.142-144, 2016.

S. Behera and A. Pradhan, MII Ret Cam: A Boon towards Retinal Disease Imaging and Documentation, J Clin. Exp. Ophthalmol, vol.8, issue.5, p.1000685

D. Toslak, A. Ayata, C. Liu, M. K. Erol, and X. Yao, Wide-field smartphone fundus video camera based on miniaturized indirect ophthalmoscopy, Retina, vol.38, issue.2, pp.438-441, 2018.

B. J. Fenner, L. M. Raymond, W. C. Lam, G. S. Tan, and G. C. Cheung, Advances in Retinal Imaging and Applications in Diabetic Retinopathy Screening: A Review

J. K. Lu, H. Su, Z. Cheng, C. Ye, J. Qian et al., Telemedicine screening of retinal diseases with a handheld portable nonmydriatic fundus camera, BMC Ophthalmology, vol.17, p.89, 2017.

R. Rajalakshm, R. Subashini, R. M. Anjana, and V. Mohan, Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence, Eye, vol.32, issue.6, pp.1138-1144, 2018.