| 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 | 99 | 2010 |
| 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 | 62 | 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 | 48 | 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 | 44 | 2012 |
| 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 | 35 | 2010 |
| 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), 1-9, 2014 | 32 | 2014 |
| 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, 2018 | 29 | 2018 |
| 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 | 29 | 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 | 28 | 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, 2015 | 17 | 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 | 17 | 2013 |
| 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 | 14 | 2019 |
| Multiple layer segmentation and analysis in three-dimensional spectral-domain optical coherence tomography volume scans Z Hu, X Wu, A Hariri, SVR Sadda Journal of biomedical optics 18 (7), 076006, 2013 | 12 | 2013 |
| Multimodal registration of multiple retinal images based on line structures M Hernandez, G Medioni, Z Hu, SV Sadda 2015 IEEE Winter Conference on Applications of Computer Vision, 907-914, 2015 | 9 | 2015 |
| Automated multimodality concurrent classification for segmenting vessels in 3D spectral OCT and color fundus images Z Hu, MD Abràmoff, M Niemeijer, MK Garvin Medical Imaging 2011: Image Processing 7962, 796204, 2011 | 8 | 2011 |
| 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 | 7 | 2020 |
| Multiple surface segmentation using truncated convex priors A Shah, J Bai, Z Hu, S Sadda, X Wu International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 7 | 2015 |
| 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 | 6 | 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, 109501Q, 2019 | 6 | 2019 |
| 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), 1-8, 2020 | 5 | 2020 |
Srinivas SaddaDoheny Eye InstituteVerified email at doheny.org
