173 citations · 551 across the 20 of their papers we have counts for
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cs.CV2017★ 123 cited
Deep Learning Diffuse Optical Tomography
Jaejun Yoo, Sohail Sabir, Duchang Heo +10
Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast cancer detection thanks to its excellent contrast to hemoglobin oxidization lev…
stat.ML2017★ 4 cited
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
Eunhee Kang, Jaejun Yoo, Jong Chul Ye
Model based iterative reconstruction (MBIR) algorithms for low-dose X-ray CT are computationally expensive. To address this problem, we recently proposed a deep convolutional neura…
cs.CV2017
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yo Seob Han, Jaejun Yoo, Jong Chul Ye
Purpose: The radial k-space trajectory is a well-established sampling trajectory used in conjunction with magnetic resonance imaging. However, the radial k-space trajectory require…