Journal articleIEEE transactions on medical imaging · May 2023
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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 ...
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Journal articleProceedings of the National Academy of Sciences of the United States of America · April 2019
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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 ...
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Journal articleOptica · September 20, 2018
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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 ...
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Journal articleIEEE Transactions on Pattern Analysis and Machine Intelligence · August 1, 2015
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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 ...
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Journal articleOpt Lett · March 1, 2014
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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 ...
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Journal articleIEEE Trans Med Imaging · November 2013
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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 ...
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Journal articleIEEE Trans Image Process · October 2010
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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 ...
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Journal articleIEEE transactions on image processing : a publication of the IEEE Signal Processing Society · October 2004
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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 ...
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