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Showing results 1 to 12 of 12

1
A convolutional neural network-based model observer for breast CT images

Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.47, no.4, pp.1619 - 1632, 2020-04

2
A deeper convolutional neural network for denoising low-dose CT images

Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2018: Physics of Medical Imaging, SPIE, 2018-02

3
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

4
Feasibility study of deep convolutional generative adversarial networks to generate mammography images

Kim, Gihun; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, SPIE, 2018-10

5
Image Quality Enhancement of Digital Breast Tomosynthesis Images by Deblurring with Deep Residual Convolutional Neural Network

Choi, Yunsu; Shim, Hyunjung; Baek, Jongduk, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Institute of Electrical and Electronics Engineers Inc., 2018-11

6
Implementation of an ideal observer model using convolutional neural network for breast CT images

Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, SPIE, 2019-02

7
Low-dose CT denoising via convolutional neural network with an observer loss function

Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.48, no.10, pp.5727 - 5742, 2021-10

8
Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions

Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2019: Physics of Medical Imaging, SPIE, 2019-02

9
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module

Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01

10
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

11
Utilization of an attentive map to preserve anatomical features for training convolutional neural-network-based low-dose CT denoiser

Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.50, no.5, pp.2787 - 2804, 2023-05

12
Weakly-supervised progressive denoising with unpaired CT images

Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, MEDICAL IMAGE ANALYSIS, v.71, 2021-07

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