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Showing results 1 to 6 of 6

1
A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images

Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.46, no.9, pp.3906 - 3923, 2019-09

2
Cycle-consistent adversarial denoising network for multiphase coronary CT angiography

Kang, Eunhee; Koo, Hyun Jung; Yang, Dong Hyun; Seo, Joon Bum; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.2, pp.550 - 562, 2019-02

3
Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach

Choi, Kyu Sung; You, Sung-Hye; Han, Yoseob; Ye, Jong Chul; Jeong, Bumseok; Choi, Seung Hong, RADIOLOGY, v.297, no.1, pp.178 - 188, 2020-10

4
SLAW: Self-Similar Least-Action Human Walk

Lee, Kyunghan; Hong, Seongik; Kim, Seong Joon; Rhee, Injong; Chong, Song, IEEE/ACM TRANSACTIONS ON NETWORKING, v.20, no.2, pp.515 - 529, 2012-04

5
Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images

Choi, Yunsu; Han, Minah; Jang, Hanjoo; Shim, Hyunjung; Baek, Jongduk, PLOS ONE, v.17, no.1, 2022-01

6
Wavelet minimum description length detrending for near-infrared spectroscopy

Kwang Eun Jang; Sungho Tak; Jinwook Jung; Jaeduck Jang; Jeong, Yong; Ye, Jong Chul, JOURNAL OF BIOMEDICAL OPTICS, v.14, 2009-05

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