Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms. - Morgan Heisler; Forson Chan; Zaid Mammo; Chandrakumar Balaratnasingam; Pavle Prentasic; Gavin Docherty; MyeongJin Ju; Sanjeeva Rajapakse; Sieun Lee; Andrew B. Merkur; Andrew W. Kirker; David A. Albiani; et al. (CoRR, 2019)

Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning. - Timothy T. L. Yu; Da Ma; Jayden Cole; MyeongJin Ju; Mirza Faisal Beg; Marinko V. Sarunic (ISPA, 2021)

Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning. - Da Ma; Meenakshi Kumar; Vikas Khetan; Parveen Sen; Muna Bhende; Shuo Chen; Timothy T. L. Yu; Sieun Lee; Eduardo V. Navajas; Joanne A. Matsubara; Myeong Jin Ju; Marinko V. Sarunic; et al. (Comput. Biol. Medicine, 2022)

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. - Shuo Chen; Da Ma; Sieun Lee; Timothy T. L. Yu; Gavin Xu; Donghuan Lu; Karteek Popuri; Myeong Jin Ju; Marinko V. Sarunic; Mirza Faisal Beg (Comput. Biol. Medicine, 2023)

Automated Retinal Layer and Fluid Segmentation and Cross-sectional Analysis using Spectral Domain Optical Coherence Tomography Images for Diabetic Retinopathy. - S. Chen; Da Ma; M. Raviselvan; S. Sundaramoorthy; Karteek Popuri; Myeong Jin Ju; Marinko Sarunic; D. Ratra; Mirza Faisal Beg (CoRR, 2025)