no code implementations • CVPR 2022 • Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han
Unsupervised image-to-image translation has gained considerable attention due to the recent impressive progress based on generative adversarial networks (GANs).
no code implementations • 20 Nov 2020 • Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
Unlike the existing deep learning approaches that use a neural network as a regularization term or an end-to-end blackbox model for supervised training, our algorithm is a feed-forward neural network implementation of PhaseCut algorithm in an unsupervised learning framework.
no code implementations • 4 Aug 2020 • Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Time-of-flight magnetic resonance angiography (TOF-MRA) is one of the most widely used non-contrast MR imaging methods to visualize blood vessels, but due to the 3-D volume acquisition highly accelerated acquisition is necessary.
no code implementations • 29 Mar 2020 • Eunju Cha, Hyungjin Chung, Eung Yeop Kim, Jong Chul Ye
This is because high spatio-temporal resolution ground-truth images are not available for tMRA.
no code implementations • 17 Mar 2020 • Eunju Cha, Gyutaek Oh, Jong Chul Ye
Recently, it was shown that an encoder-decoder convolutional neural network (CNN) can be interpreted as a piecewise linear basis-like representation, whose specific representation is determined by the ReLU activation patterns for a given input image.
no code implementations • 25 Sep 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
However, the computation of the divergence term in SURE is difficult to implement in a neural network framework, and the condition to avoid trivial identity mapping is not well defined.
no code implementations • 18 Jun 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
In this paper, we show that the recent unsupervised learning methods such as Noise2Noise, Stein's unbiased risk estimator (SURE)-based denoiser, and Noise2Void are closely related to each other in their formulation of an unbiased estimator of the prediction error, but each of them are associated with its own limitations.
no code implementations • 3 Jun 2018 • Eunju Cha, Eung Yeop Kim, Jong Chul Ye
Time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used for dynamic contrast enhanced MRI (DCE-MRI).
4 code implementations • 3 Jul 2017 • Jong Chul Ye, Yoseob Han, Eunju Cha
Using numerical experiments with various inverse problems, we demonstrated that our deep convolution framelets network shows consistent improvement over existing deep architectures. This discovery suggests that the success of deep learning is not from a magical power of a black-box, but rather comes from the power of a novel signal representation using non-local basis combined with data-driven local basis, which is indeed a natural extension of classical signal processing theory.