| Automated segmentation of neural canal opening and optic cup in 3D spectral optical coherence tomography volumes of the optic nerve head Z Hu, MD Abràmoff, YH Kwon, K Lee, MK Garvin Investigative ophthalmology & visual science 51 (11), 5708-5717, 2010 | 110 | 2010 |
| Automated retinal layer segmentation using graph-based algorithm incorporating deep-learning-derived information Z Mishra, A Ganegoda, J Selicha, Z Wang, SVR Sadda, Z Hu Scientific Reports 10 (1), 9541, 2020 | 102 | 2020 |
| Automated detection and classification of early AMD biomarkers using deep learning S Saha, M Nassisi, M Wang, S Lindenberg, S Sadda, ZJ Hu Scientific reports 9 (1), 10990, 2019 | 102 | 2019 |
| Fluorescein aqueous angiography in live normal human eyes AS Huang, RC Penteado, SK Saha, JL Do, P Ngai, Z Hu, RN Weinreb Journal of glaucoma 27 (11), 957-964, 2018 | 87 | 2018 |
| Semi-automated Segmentation of the Choroid in Spectral-domain Optical Coherence Tomography Volume Scans Z Hu, X Wu, Y Ouyang, Y Ouyang, SVR Sadda Investigative Ophthalmology & Visual Science, 2013 | 86 | 2013 |
| Segmentation of the Geographic Atrophy in Spectral-domain Optical Coherence Tomography and Fundus Autofluorescene Images Z Hu, GG Medioni, MT Hernandez, A Hariri, X Wu, SVR Sadda Invest. Ophthalmol. Vis. Sci., 2013 | 84 | 2013 |
| Multimodal retinal vessel segmentation from spectral-domain optical coherence tomography and fundus photography Z Hu, M Niemeijer, MD Abràmoff, MK Garvin IEEE transactions on medical imaging 31 (10), 1900-1911, 2012 | 71 | 2012 |
| Functionally validated imaging endpoints in the Alabama study on early age-related macular degeneration 2 (ALSTAR2): design and methods CA Curcio, G McGwin, SR Sadda, Z Hu, ME Clark, KR Sloan, T Swain, ... BMC ophthalmology 20, 1-17, 2020 | 49 | 2020 |
| Choroidal atrophy and loss of choriocapillaris in convalescent stage of Vogt-Koyanagi-Harada disease: in vivo documentation H Nazari, A Hariri, Z Hu, Y Ouyang, SV Sadda, NA Rao Journal of ophthalmic inflammation and infection 4, 1-9, 2014 | 44 | 2014 |
| Automated segmentation of 3-D spectral OCT retinal blood vessels by neural canal opening false positive suppression Z Hu, M Niemeijer, MD Abramoff, K Lee, MK Garvin International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 38 | 2010 |
| Automated 3D segmentation of intraretinal layers from optic nerve head optical coherence tomography images BJ Antony, MD Abràmoff, K Lee, P Sonkova, P Gupta, Y Kwon, ... Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and …, 2010 | 34 | 2010 |
| Automated segmentation of the optic disc margin in 3-D optical coherence tomography images using a graph-theoretic approach Z Hu, M Niemeijer, K Lee, MD Abramoff, M Sonka, MK Garvin Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and …, 2009 | 32 | 2009 |
| Automated segmentation of geographic atrophy in fundus autofluorescence images using supervised pixel classification Z Hu, GG Medioni, M Hernandez, SR Sadda Journal of Medical Imaging 2 (1), 014501-014501, 2015 | 31 | 2015 |
| Comparison of Retinal Layer Intensity Profiles From Different OCT Devices Z Hu, MG Nittala, SR Sadda Ophthalmic Surgery, Lasers and Imaging Retina 44 (6), 5--10, 2013 | 28 | 2013 |
| Computational retinal image analysis: tools, applications and perspectives E Trucco, T MacGillivray, Y Xu Academic Press, 2019 | 24 | 2019 |
| Near-infrared reflectance imaging for quantification of atrophy associated with age-related macular degeneration NS Abdelfattah, J Sadda, Z Wang, Z Hu, S Sadda American Journal of Ophthalmology 212, 169-174, 2020 | 22 | 2020 |
| Reproducibility of measurements of retinal structural parameters using optical coherence tomography in Stargardt disease X Kong, A Ho, B Munoz, S West, RW Strauss, A Jha, A Ervin, J Buzas, ... Translational Vision Science & Technology 8 (3), 46-46, 2019 | 20 | 2019 |
| Deep learning for automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration Z Wang, SVR Sadda, Z Hu Medical Imaging 2019: Computer-Aided Diagnosis 10950, 447-455, 2019 | 20 | 2019 |
| Automated segmentation of geographic atrophy using deep convolutional neural networks Z Hu, Z Wang, SVR Sadda Medical Imaging 2018: Computer-Aided Diagnosis 10575, 229-237, 2018 | 20 | 2018 |
| Multiple layer segmentation and analysis in three-dimensional spectral-domain optical coherence tomography volume scans Z Hu, X Wu, A Hariri, SR Sadda Journal of biomedical optics 18 (7), 076006-076006, 2013 | 19 | 2013 |
Srinivas SaddaDoheny Eye InstituteVerified email at doheny.org
