| The Eye Phone Study: reliability and accuracy of assessing Snellen visual acuity using smartphone technology C Perera, R Chakrabarti, FMA Islam, J Crowston Eye 29 (7), 888-894, 2015 | 106 | 2015 |
| The evolution of E-Health–mobile technology and mHealth C Perera Journal of Mobile Technology in Medicine 1 (1), 1-2, 2012 | 77 | 2012 |
| Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images CA Ludwig, C Perera, D Myung, MA Greven, SJ Smith, RT Chang, T Leng Translational Vision Science & Technology 9 (2), 60-60, 2020 | 29 | 2020 |
| Factors influencing outcomes of the treatment of allograft corneal rejection C Perera, V Jhanji, RB Vajpayee American journal of ophthalmology 152 (3), 358-363. e2, 2011 | 25 | 2011 |
| Predicting systemic health features from retinal fundus images using transfer-learning-based artificial intelligence models NC Khan, C Perera, ER Dow, KM Chen, VB Mahajan, P Mruthyunjaya, ... Diagnostics 12 (7), 1714, 2022 | 24 | 2022 |
| Fungal keratitis: clinical features, risk factors, treatment, and outcomes S Atta, C Perera, RP Kowalski, V Jhanji Journal of Fungi 8 (9), 962, 2022 | 23 | 2022 |
| Comparison of clinical features and treatment outcomes of Pseudomonas aeruginosa keratitis in contact lens and non–contact lens wearers R Enzor, EMR Bowers, B Perzia, C Perera, L Palazzolo, A Mammen, ... American journal of ophthalmology 227, 1-11, 2021 | 23 | 2021 |
| A review of m-health in medical imaging CM Perera, R Chakrabarti Telemedicine and e-Health 21 (2), 132-137, 2015 | 22 | 2015 |
| A deep learning approach to identify blepharoptosis by convolutional neural networks JY Hung, C Perera, KW Chen, D Myung, HK Chiu, CS Fuh, CR Hsu, ... International journal of medical informatics 148, 104402, 2021 | 21 | 2021 |
| Clinical presentation, risk factors and treatment outcomes of first allograft rejection after penetrating keratoplasty in early and late postoperative period C Perera, V Jhanji, E Lamoureux, G Pollock, I Favilla, RB Vajpayee Eye 26 (5), 711-717, 2012 | 18 | 2012 |
| Artificial intelligence-human hybrid workflow enhances teleophthalmology for the detection of diabetic retinopathy ER Dow, NC Khan, KM Chen, K Mishra, C Perera, R Narala, M Basina, ... Ophthalmology Science 3 (4), 100330, 2023 | 16 | 2023 |
| An outperforming artificial intelligence model to identify referable blepharoptosis for general practitioners JY Hung, KW Chen, C Perera, HK Chiu, CR Hsu, D Myung, AC Luo, ... Journal of Personalized Medicine 12 (2), 283, 2022 | 14 | 2022 |
| Principles of Security for the use of Mobile Technology in Medicine C Perera Journal of Mobile Technology in Medicine 1 (2), 05-07, 2012 | 12 | 2012 |
| Microbiological evaluation of corneal and contact lens cultures in contact lens-associated bacterial keratitis S Mukhtar, S Atta, A Durrani, C Perera, R Kowalski, V Jhanji British Journal of Ophthalmology 106 (5), 600-604, 2022 | 9 | 2022 |
| Lymphoma of the trigeminal nerve–the need for histological diagnosis C Perera, G Fitt, R Kalnins, S Lee, A Gonzalvo British Journal of Neurosurgery 28 (2), 278-280, 2014 | 8 | 2014 |
| The utility of mhealth in medical imaging C Perera, R Chakrabarti Journal of Mobile Technology in Medicine 2 (3), 4-6, 2013 | 8 | 2013 |
| An 18-year overview of Serratia marcescens ocular infection S Atta, C Perera, S Nayyar, RP Kowalski, V Jhanji Eye & Contact Lens 47 (8), 471-475, 2021 | 6 | 2021 |
| Munkahelyi egészségfejlesztés, munkahelyi sport a gyakorlatban S Ágnes Magyar Sporttudományi Szemle 15 (57), 46-54, 2014 | 5 | 2014 |
| Clinical characterization and outcomes of culture-and polymerase chain reaction-negative cases of infectious keratitis S Atta, RB Singh, K Samanthapudi, C Perera, M Omar, S Nayyar, ... Diagnostics 13 (15), 2528, 2023 | 4 | 2023 |
| Comparison of machine learning–based algorithms using corneal asymmetry vs. single-metric parameters for keratoconus detection G Prakash, C Perera, V Jhanji Graefe's Archive for Clinical and Experimental Ophthalmology 261 (8), 2335-2342, 2023 | 3 | 2023 |
