716 citations · 2.8k across the 74 of their papers we have counts for
7 papers · 2 filters
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
Mathews Jacob, Merry P. Mani, Jong Chul Ye
In this survey, we provide a detailed review of recent advances in the recovery of continuous domain multidimensional signals from their few non-uniform (multichannel) measurements…
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems
Byeongsu Sim, Gyutaek Oh, Jeongsol Kim +2
To improve the performance of classical generative adversarial network (GAN), Wasserstein generative adversarial networks (W-GAN) was developed as a Kantorovich dual formulation of…
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
Boah Kim, Jieun Kim, June-Goo Lee +3
Medical image registration is one of the key processing steps for biomedical image analysis such as cancer diagnosis. Recently, deep learning based supervised and unsupervised imag…
Boosting CNN beyond Label in Inverse Problems
Eunju Cha, Jaeduck Jang, Junho Lee +2
Convolutional neural networks (CNN) have been extensively used for inverse problems. However, their prediction error for unseen test data is difficult to estimate a priori since th…
Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
Boah Kim, Jong Chul Ye
Recent state-of-the-art image segmentation algorithms are mostly based on deep neural networks, thanks to their high performance and fast computation time. However, these methods a…
Universal Deep Beamformer for Variable Rate Ultrasound Imaging
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Ultrasound (US) imaging is based on the time-reversal principle, in which individual channel RF measurements are back-propagated and accumulated to form an image after applying spe…