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A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
This is the first optimization of a 3D inverse model in an image reconstruction context in OCT.
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology.
Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising
Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature.
Efficient and high accuracy 3-D OCT angiography motion correction in pathology
We propose a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes.
Analysis by Adversarial Synthesis -- A Novel Approach for Speech Vocoding
Recently, autoregressive deep generative models such as WaveNet and SampleRNN have been used as speech vocoders to scale up the perceptual quality of the reconstructed signals without increasing the coding rate.
