Sina Farsiu
Affiliations: | EE | University of California, Santa Cruz, Santa Cruz, CA, United States |
Website:
https://people.duke.edu/~sf59/Google:
"Sina Farsiu"Children
Sign in to add traineeStephanie J. Chiu | grad student | 2014 | Duke |
Theodore DuBose | grad student | 2018 | Duke |
David Cunefare | grad student | 2019 | Duke |
Somayyeh Soltanian-Zadeh | grad student | 2020 | Duke |
Jessica Loo | grad student | 2022 | Duke |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Loo J, Teo KYC, Vyas CH, et al. (2023) Joint Multimodal Deep Learning-based Automatic Segmentation of Indocyanine Green Angiography and OCT Images for Assessment of Polypoidal Choroidal Vasculopathy Biomarkers. Ophthalmology Science. 3: 100292 |
Rasti R, Biglari A, Rezapourian M, et al. (2023) RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation. Ieee Transactions On Medical Imaging. 42: 1413-1423 |
Soltanian-Zadeh S, Liu Z, Liu Y, et al. (2023) Deep learning-enabled volumetric cone photoreceptor segmentation in adaptive optics optical coherence tomography images of normal and diseased eyes. Biomedical Optics Express. 14: 815-833 |
Lad EM, Duncan JL, Liang W, et al. (2022) Baseline Microperimetry and OCT in the RUSH2A Study: Structure-Function Association and Correlation with Disease Severity. American Journal of Ophthalmology |
Loo J, Jaffe GJ, Duncan JL, et al. (2022) Validation of a deep learning-based algorithm for segmentation of the ellipsoid zone on optical coherence tomography images of an USH2A-related retinal degeneration clinical trial. Retina (Philadelphia, Pa.) |
Yang Z, Soltanian-Zadeh S, Farsiu S. (2022) BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection. Pattern Recognition. 121 |
Soltanian-Zadeh S, Kurokawa K, Liu Z, et al. (2021) Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment. Optica. 8: 642-651 |
Choy KC, Li G, Stamer WD, et al. (2021) Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images. Experimental Eye Research. 108844 |
Yang Z, Soltanian-Zadeh S, Chu KK, et al. (2021) Connectivity-based deep learning approach for segmentation of the epithelium in human esophageal OCT images. Biomedical Optics Express. 12: 6326-6340 |
Loo J, Woodward MA, Prajna V, et al. (2021) Open-Source Automatic Biomarker Measurement on Slit-Lamp Photography to Estimate Visual Acuity in Microbial Keratitis. Translational Vision Science & Technology. 10: 2 |