117 citations · 443 across the 36 of their papers we have counts for
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cs.CV2017
Neural Affine Grayscale Image Denoising
Sungmin Cha, Taesup Moon
We propose a new grayscale image denoiser, dubbed as Neural Affine Image Denoiser (Neural AIDE), which utilizes neural network in a novel way. Unlike other neural network based ima…
cs.CV2017★ 52 cited
3D Densely Convolutional Networks for Volumetric Segmentation
Toan Duc Bui, Jitae Shin, Taesup Moon
In the isointense stage, the accurate volumetric image segmentation is a challenging task due to the low contrast between tissues. In this paper, we propose a novel very deep netwo…
cs.LG2017
A Denoising Loss Bound for Neural Network based Universal Discrete Denoisers
Taesup Moon
We obtain a denoising loss bound of the recently proposed neural network based universal discrete denoiser, Neural DUDE, which can adaptively learn its parameters solely from the n…