DSpace at KOASAS
Browsing DSpace

Browse "AI-Conference Papers(학술대회논문)" by Author Baek, Jongduk

A to Z

All 0-9

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

or enter first few letters:

Showing results 1 to 5 of 5

1
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

2
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

3
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

4
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

5
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

Discover

rss_1.0 rss_2.0 atom_1.0