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Sina Farsiu

Anderson-Rupp Professor of Biomedical Engineering
Biomedical Engineering
Box 3802 Med Ctr, Durham, NC 27710
CIEMAS 2575, Durham, NC 27708

Featured Works


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

Journal article IEEE transactions on medical imaging · May 2023 Featured Publication Optical coherence tomography (OCT) helps ophthalmologists assess macular edema, accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is necessary for OCT-guided treatment management, which relies on a precise imag ... Full text Cite

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Journal article Proceedings of the National Academy of Sciences of the United States of America · April 2019 Featured Publication Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for d ... Full text Cite

Handheld Adaptive Optics Scanning Laser Ophthalmoscope.

Journal article Optica · September 20, 2018 Featured Publication Adaptive optics scanning laser ophthalmoscopy (AOSLO) has enabled in vivo visualization and enhanced understanding of retinal structure and function. Current generation AOSLOs have a large footprint and are mainly limited to imaging cooperative adult subje ... Full text Link to item Cite

Tree topology estimation

Journal article IEEE Transactions on Pattern Analysis and Machine Intelligence · August 1, 2015 Featured Publication Tree-like structures are fundamental in nature, and it is often useful to reconstruct the topology of a tree-what connects to what-from a two-dimensional image of it. However, the projected branches often cross in the image: the tree projects to a planar g ... Full text Cite

Compressed wavefront sensing.

Journal article Opt Lett · March 1, 2014 Featured Publication We report on an algorithm for fast wavefront sensing that incorporates sparse representation for the first time in practice. The partial derivatives of optical wavefronts were sampled sparsely with a Shack-Hartman wavefront sensor (SHWFS) by randomly subsa ... Full text Link to item Cite

Fast acquisition and reconstruction of optical coherence tomography images via sparse representation.

Journal article IEEE Trans Med Imaging · November 2013 Featured Publication In this paper, we present a novel technique, based on compressive sensing principles, for reconstruction and enhancement of multi-dimensional image data. Our method is a major improvement and generalization of the multi-scale sparsity based tomographic den ... Full text Link to item Cite

Efficient fourier-wavelet super-resolution.

Journal article IEEE Trans Image Process · October 2010 Featured Publication Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-resolution images, a key process in SR is the restoration and denoising of the ... Full text Link to item Cite

Fast and robust multiframe super resolution.

Journal article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · October 2004 Featured Publication Super-resolution reconstruction produces one or a set of high-resolution images from a set of low-resolution images. In the last two decades, a variety of super-resolution methods have been proposed. These methods are usually very sensitive to their assume ... Full text Cite