World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
16336
World Ranking
4222
National Ranking
1993

Research.com Recognitions

  • 2021 - OSA Fellows Sina Farsiu Duke University, USA For outstanding contributions to optical image processing and biophotonics
  • 2020 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2020 - IEEE Fellow For contributions to multi-frame super resolution and ophthalmic image processing
  • 2020 - SPIE Fellow

Overview

Sina Farsiu is affiliated with Duke University in the United States and conducts research primarily in the field of Medicine. Their work focuses extensively on Ophthalmology, with significant contributions to subfields including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, and Molecular Biology.

The scientist's research encompasses several main topics, such as:

  • Retinal Diseases and Treatments
  • Retinal Imaging and Analysis
  • Optical Coherence Tomography Applications
  • Glaucoma and retinal disorders
  • Retinal Development and Disorders
  • Corneal surgery and disorders
  • Ocular Surface and Contact Lens

Recent publications by Sina Farsiu include:

  • Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema, 2020, Biomedical Optics Express
  • BiconNet: An edge-preserved connectivity-based approach for salient object detection, 2021, Pattern Recognition
  • Anti-fibrotic activity of a rho-kinase inhibitor restores outflow function and intraocular pressure homeostasis, 2021, eLife
  • Segmentation of neurons from fluorescence calcium recordings beyond real time, 2021, Nature Machine Intelligence
  • RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation, 2022, IEEE Transactions on Medical Imaging

Frequent collaborators in their research include Joseph A. Izatt, Glenn J. Jaffe, Jessica Loo, Somayyeh Soltanian-Zadeh, and Stephanie J. Chiu.

Sina Farsiu has published extensively in various venues, with multiple publications appearing in:

  • arXiv (Cornell University)
  • Biomedical Optics Express
  • American Journal of Ophthalmology
  • Investigative Ophthalmology & Visual Science
  • Ophthalmology Science

The scientist's work on optical image processing and biophotonics has been recognized with multiple fellowships, including:

  • OSA Fellow, 2021, cited for outstanding contributions to optical image processing and biophotonics
  • IEEE Fellow, 2020, for contributions to multi-frame super resolution and ophthalmic image processing
  • Fellow of the Indian National Academy of Engineering (INAE), 2020
  • SPIE Fellow, 2020

Best Publications

  • Fast and robust multiframe super resolution

    S. Farsiu;M.D. Robinson;M. Elad;P. Milanfar

  • Kernel Regression for Image Processing and Reconstruction

    H. Takeda;S. Farsiu;P. Milanfar

  • Advances and Challenges in Super-Resolution

    Sina Farsiu;M. Dirk Robinson;Michael Elad;Peyman Milanfar

  • Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

    Stephanie J. Chiu;Xiao T. Li;Peter Nicholas;Cynthia A. Toth

  • Fast and robust multi-frame super-resolution

    S. Farsiu

  • Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.

    Leyuan Fang;David Cunefare;Chong Wang;Robyn H. Guymer

  • Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images

    Pratul P. Srinivasan;Leo A. Kim;Priyatham S. Mettu;Scott W. Cousins

  • Multiframe demosaicing and super-resolution of color images

    S. Farsiu;M. Elad;P. Milanfar

  • Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema

    Stephanie J. Chiu;Michael J. Allingham;Priyatham S. Mettu;Scott W. Cousins

  • Photoreceptor layer thinning over drusen in eyes with age-related macular degeneration imaged in vivo with spectral-domain optical coherence tomography.

    Stefanie G. Schuman;Anjum F. Koreishi;Sina Farsiu;Sin ho Jung

  • Sparsity based denoising of spectral domain optical coherence tomography images

    Leyuan Fang;Shutao Li;Qing Nie;Joseph A. Izatt

  • Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.

    Stephanie J. Chiu;Joseph A. Izatt;Rachelle V. O'Connell;Katrina P. Winter

  • Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation

    Leyuan Fang;Shutao Li;Ryan P. McNabb;Qing Nie

  • Deblurring Using Regularized Locally Adaptive Kernel Regression

    H. Takeda;S. Farsiu;P. Milanfar

  • Abnormal Foveal Morphology in Ocular Albinism Imaged With Spectral-Domain Optical Coherence Tomography

    Gabriel T. Chong;Sina Farsiu;Sharon F. Freedman;Neeru Sarin

  • Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography

    Hansford C. Hendargo;Rolando Estrada;Stephanie J. Chiu;Carlo Tomasi

  • Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

    Pratul P. Srinivasan;Stephanie J. Heflin;Joseph A. Izatt;Vadim Y. Arshavsky

  • Robust shift and add approach to superresolution

    Sina Farsiu;Dirk Robinson;Michael Elad;Peyman Milanfar

  • Retinal Artery-Vein Classification via Topology Estimation

    Rolando Estrada;Michael J. Allingham;Priyatham S. Mettu;Scott W. Cousins

  • Foveal avascular zone and foveal pit formation after preterm birth

    Susan Elizabeth Yanni;Jingyun Wang;Melody Chan;Joseph Carroll

Frequent Co-Authors

Joseph A. Izatt
Joseph A. Izatt Duke University
Peyman Milanfar
Peyman Milanfar Google (United States)
Emily Y. Chew
Emily Y. Chew National Institutes of Health
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Leyuan Fang
Leyuan Fang Hunan University
Carlo Tomasi
Carlo Tomasi Duke University
C. Ross Ethier
C. Ross Ethier Georgia Institute of Technology
Shutao Li
Shutao Li Hunan University
Martin Friedlander
Martin Friedlander Scripps Research Institute

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