Sina Farsiu

Associate Professor

Duke University

United States

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About

Dr. Sina Farsiu is an Associate Professor at Duke University in the United States. His research focuses on advanced imaging techniques in biomedical optics, particularly in relation to retinal imaging and adaptive optics. Recent publications include significant contributions to the fields of optical coherence tomography and deep learning applications in medical imaging.

Articles (16)

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2025

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2021

Collaborators (4)

Ruikang Wang

Professor

University of Washington

UNITED STATES

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Emily Chew

UNITED STATES

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Alfredo Dubra

Professor

Stanford University

UNITED STATES

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Yiqing Wang

Duke University

UNITED STATES

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Sina Farsiu

Research Interests

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About

Articles (16)

Deep Compressed Multi-Channel Adaptive Optics Scanning Light Ophthalmoscope

Self-knowledge distillation-empowered directional connectivity transformer for microbial keratitis biomarkers segmentation on slit-lamp photography

Biomedical Optics Express recognizes the 2024 best paper prize winners: editorial

Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy

In vivo imaging of human retinal ganglion cells using optical coherence tomography without adaptive optics

Biomedical Optics Express recognizes the 2023 best paper prize winners: editorial

Biomedical Optics Express recognizes the best paper prize winners: editorial

RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation

Deep learning-enabled volumetric cone photoreceptor segmentation in adaptive optics optical coherence tomography images of normal and diseased eyes

Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2

Computational 3D microscopy with optical coherence refraction tomography

Editorial from the New Editor-in-Chief and the New Deputy Editor

Identifying Latent Stochastic Differential Equations

High-speed multiview imaging approaching 4pi steradians using conic section mirrors: theoretical and practical considerations

Connectivity-based deep learning approach for segmentation of the epithelium in in vivo human esophageal OCT images

Unified k-space theory of optical coherence tomography

Collaborators (4)

Ruikang Wang

Emily Chew

Alfredo Dubra

Yiqing Wang

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