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Ruikang K. Wang

Researcher at University of Washington

Publications -  816
Citations -  23936

Ruikang K. Wang is an academic researcher from University of Washington. The author has contributed to research in topics: Optical coherence tomography & Microangiography. The author has an hindex of 73, co-authored 764 publications receiving 20026 citations. Previous affiliations of Ruikang K. Wang include University of Miami & University of Washington Medical Center.

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Generating perfusion maps from structural optical coherence tomography with artificial intelligence

TL;DR: This finding demonstrates a novel application of AI to medical imaging, whereby subtle regularities between different modalities are used to image the same body part and AI is used to generate detailed inferences of tissue function from structure imaging.
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Valve-Like Outflow System Behavior With Motion Slowing in Glaucoma Eyes: Findings Using a Minimally Invasive Glaucoma Surgery–MIGS-Like Platform and Optical Coherence Tomography Imaging

TL;DR: Investigation of anatomic relationships and biomechanics of pressure-dependent trabecular meshwork and distal valve-like structure deformation in normal and glaucoma eyes using high-resolution optical coherence tomography (HR-OCT) found tissues underwent less motion and responded more slowly than NL, consistent with increased tissue stiffness.
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Vertex/propagator model for least-scattered photons traversing a turbid medium

TL;DR: A vertex/propagator approach that attempts to find the probabilities for least-scattered photons traversing a scattering medium, based on analytical expressions for photon histories, which is found to be in very good agreement with those from the Monte Carlo simulations.
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Temperature distribution in Escherichia coli liquid suspensions during irradiation by a high-power Nd:YAG laser for sterilization applications

TL;DR: The model enables the parameters that affect the temperature distribution of the liquid suspension to be identified and optimized when designing laser sterilization systems.
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Automated vessel diameter quantification and vessel tracing for OCT angiography.

TL;DR: A method for automated mapping of vessel diameter down to the individual capillary level, through gradient‐guided minimum radial distance (MRD), which provides a platform for the automated evaluation of the vasculature and may aid in diagnosis of vascular diseases.