| DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images SK Devalla, PK Renukanand, BK Sreedhar, G Subramanian, L Zhang, ... Biomedical optics express 9 (7), 3244-3265, 2018 | 193 | 2018 |
| A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head SK Devalla, KS Chin, JM Mari, TA Tun, NG Strouthidis, T Aung, AH Thiéry, ... Investigative ophthalmology & visual science 59 (1), 63-74, 2018 | 107 | 2018 |
| A deep learning approach to denoise optical coherence tomography images of the optic nerve head SK Devalla, G Subramanian, TH Pham, X Wang, S Perera, TA Tun, ... Scientific reports 9 (1), 14454, 2019 | 101 | 2019 |
| Glaucoma management in the era of artificial intelligence SK Devalla, Z Liang, TH Pham, C Boote, NG Strouthidis, AH Thiery, ... British Journal of Ophthalmology 104 (3), 301-311, 2020 | 84 | 2020 |
| Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images TH Pham, SK Devalla, A Ang, ZD Soh, AH Thiery, C Boote, CY Cheng, ... British Journal of Ophthalmology 105 (9), 1231-1237, 2021 | 33 | 2021 |
| Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning SK Devalla, TH Pham, SK Panda, L Zhang, G Subramanian, ... Biomedical optics express 11 (11), 6356-6378, 2020 | 31 | 2020 |
| DeshadowGAN: a deep learning approach to remove shadows from optical coherence tomography images H Cheong, SK Devalla, TH Pham, L Zhang, TA Tun, X Wang, S Perera, ... Translational Vision Science & Technology 9 (2), 23-23, 2020 | 31 | 2020 |
| Describing the structural phenotype of the glaucomatous optic nerve head using artificial intelligence SK Panda, H Cheong, TA Tun, SK Devella, V Senthil, R Krishnadas, ... American journal of ophthalmology 236, 172-182, 2022 | 26 | 2022 |
| OCT-GAN: single step shadow and noise removal from optical coherence tomography images of the human optic nerve head H Cheong, SK Devalla, T Chuangsuwanich, TA Tun, X Wang, T Aung, ... Biomedical optics express 12 (3), 1482-1498, 2021 | 23 | 2021 |
| Aerial assisted path planning for terrestrial rover without complete environment map DS Krishna, S Krithivasan, H Yadav, V Selvaraj 2015 International Conference on Innovations in Information, Embedded and …, 2015 | 6 | 2015 |
| Optical Coherence Tomography B Liu, ME Brezinski Elsevier, 2014 | 4 | 2014 |
| Leveraging clinically relevant biometric constraints to supervise a deep learning model for the accurate caliper placement to obtain sonographic measurements of the fetal brain H Shankar, A Narayan, S Jain, D Singh, P Vyas, N Hegde, P Kar, A Lad, ... 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 3 | 2022 |
| Adduction induces abnormally large optic nerve head strains in normal tension glaucoma subjects T Chuangsuwanich, X Wang, TA Tun, SK Devalla, D Milea, QV Hoang, ... Investigative Ophthalmology & Visual Science 61 (7), 1005-1005, 2020 | 3 | 2020 |
| Deep Learning can Exploit 3D Structural Information of the Optic Nerve Head to Provide a Glaucoma Diagnostic Power Superior to that of Retinal Nerve Fibre Layer Thickness MJA Girard, KS Chin, S Devalla, T Aung, JB Jonas, YX Wang, A Thiery Investigative Ophthalmology & Visual Science 59 (9), 4081-4081, 2018 | 3 | 2018 |
| Deep learning OCT-based detection and quantification of optic disc drusen allows discrimination from true papilledema MJA Girard, A Thiery, S Devalla, L Malmqvist, S Hamann, D Milea, ... Investigative Ophthalmology & Visual Science 61 (7), 4029-4029, 2020 | 2 | 2020 |
| A Multi-device, Multi-ethnicity Deep Learning Algorithm to Detect Glaucoma from A Single Optical Coherence Tomography Scan of the Optic Nerve Head Z Liang, D Sripad Krishna, C Ching-Yu, M Da, N Monisha Esther, ... Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting …, 2019 | 2 | 2019 |
| A deep learning approach to denoise optical coherence tomography images of the optic nerve head. Sci Rep. 2019; 9: 14454 SK Devalla, G Subramanian, TH Pham, X Wang, S Perera, TA Tun | 2 | |
| Getting more with less: Artificial intelligence can boost optical coherence tomography images MJA Girard, H Cheong, SK Devalla, G Subramanian, TH Pham, TA Tun, ... Investigative Ophthalmology & Visual Science 60 (9), 1505-1505, 2019 | 1 | 2019 |
| A device-independent deep learning approach to digitally stain optical coherence tomography images of the optic nerve head SK Devalla, JM Mari, TA Tun, NI Strouthidis, T Aung, AH Thiéry, ... Investigative Ophthalmology & Visual Science 59 (9), 3500-3500, 2018 | 1 | 2018 |
| Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation A Lad, A Narayan, H Shankar, S Jain, PP Vyas, D Singh, N Hegde, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 948-958, 2022 | | 2022 |
Michaël J.A. GirardAssociate Professor, Duke-NUS Medical School; Principal Investigator, SERIDirección de correo verificada de ophthalmic.engineering
