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Byeongjoon Kim
Byeongjoon Kim
Research Associate at Yonsei University
在 yonsei.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images
B Kim, M Han, H Shim, J Baek
Medical physics 46 (9), 3906-3923, 2019
862019
Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction
M Han, B Kim, J Baek
PloS one 13 (3), e0194408, 2018
312018
GAN2GAN: Generative noise learning for blind denoising with single noisy images
S Cha, T Park, B Kim, J Baek, T Moon
arXiv preprint arXiv:1905.10488, 2019
282019
Weakly-supervised progressive denoising with unpaired CT images
B Kim, H Shim, J Baek
Medical Image Analysis 71, 102065, 2021
212021
A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation
B Kim, H Shim, J Baek
Medical physics 49 (12), 7497-7515, 2022
162022
A convolutional neural network-based anthropomorphic model observer for signal detection in breast CT images without human-labeled data
B Kim, M Han, J Baek
IEEE Access 8, 162122-162131, 2020
162020
Convolutional neural network–based metal and streak artifacts reduction in dental CT images with sparse‐view sampling scheme
S Kim, J Ahn, B Kim, C Kim, J Baek
Medical physics 49 (9), 6253-6277, 2022
112022
A methodology to train a convolutional neural network-based low-dose CT denoiser with an accurate image domain noise insertion technique
B Kim, SE Divel, NJ Pelc, J Baek
IEEE Access 10, 86395-86407, 2022
82022
Sparsier2Sparse: Self‐supervised convolutional neural network‐based streak artifacts reduction in sparse‐view CT images
S Kim, B Kim, J Lee, J Baek
Medical physics 50 (12), 7731-7747, 2023
72023
Multidimensional noise reduction in C-arm cone-beam CT via 2D-based Landweber iteration and 3D-based deep neural networks
D Choi, J Kim, SH Chae, B Kim, J Baek, A Maier, R Fahrig, HS Park, ...
Medical Imaging 2019: Physics of Medical Imaging 10948, 798-804, 2019
72019
CNN-based CT denoising with an accurate image domain noise insertion technique
B Kim, SE Divel, NJ Pelc, J Baek
Medical Imaging 2021: Physics of Medical Imaging 11595, 1074-1079, 2021
62021
Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions
B Kim, M Han, H Shim, J Baek
Medical Imaging 2019: Physics of Medical Imaging 10948, 1042-1047, 2019
62019
Psychosine inhibits osteoclastogenesis and bone resorption via G protein-coupled receptor 65
SH Ahn, SY Lee, JE Baek, SY Lee, SY Park, YS Lee, H Kim, BJ Kim, ...
Journal of endocrinological investigation 38, 891-899, 2015
32015
Helical artifact reduction method using image segmentation with cnn denoising technique
S Choi, B Kim, C Park, J Park, Y Kim, S Choi, J Baek
IEEE Access 11, 49261-49272, 2023
22023
Sparsier2Sparse: weakly supervised learning for streak artifact reduction with unpaired sparse-view CT data
S Kim, B Kim, J Baek
7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022
22022
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images
B Kim, M Han, J Baek
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
22020
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks
M Han, B Kim, J Baek
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
12020
A deeper convolutional neural network for denoising low-dose CT images
B Kim, H Shim, J Baek
Medical Imaging 2018: Physics of Medical Imaging 10573, 956-961, 2018
12018
A sequential approach using convolutional neural networks for motion artifacts reduction with a fast CT scan mode
B Kim, Y Choi, S Moon, J Baek
Medical Imaging 2022: Physics of Medical Imaging 12031, 716-723, 2022
2022
A hybrid domain approach to reduce streak artifacts of sparse view CT image via convolutional neural network
S Kim, B Kim, J Baek
Medical Imaging 2021: Physics of Medical Imaging 11595, 673-679, 2021
2021
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