20 citations · 50 across the 5 of their papers we have counts for
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection
Yoseob Han, Jong Chul Ye
Computed tomography for region-of-interest (ROI) reconstruction has advantages of reducing X-ray radiation dose and using a small detector. However, standard analytic reconstructio…
k-Space Deep Learning for Reference-free EPI Ghost Correction
Juyoung Lee, Yoseob Han, Jae-Kyun Ryu +2
Nyquist ghost artifacts in EPI are originated from phase mismatch between the even and odd echoes. However, conventional correction methods using reference scans often produce erro…
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner
Yoseob Han, Jingu Kang, Jong Chul Ye
For homeland and transportation security applications, 2D X-ray explosive detection system (EDS) have been widely used, but they have limitations in recognizing 3D shape of the hid…
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
Yoseob Han, Jawook Gu, Jong Chul Ye
Interior tomography for the region-of-interest (ROI) imaging has advantages of using a small detector and reducing X-ray radiation dose. However, standard analytic reconstruction s…