jongduk baek
Yonsei University
H-index: 17
Asia-South Korea
Top articles of jongduk baek
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A method to generate patient CT noise for deep learning network training | Minah Han Jongduk Baek | 2024/4/1 | |
Patient-specific data augmentation method to improve the training efficiency of convolutional neural network for metal artifact reduction with a single patient dental CT volume | Junhyun Ahn Jongduk Baek | 2024/4/1 | |
Full 3‐D modulation transfer function estimation of tomosynthesis system using modified Richardson‐Lucy deconvolution | Medical Physics | Hoondong Song Changwoo Lee Jongduk Baek | 2023/11/27 |
Understanding the generalizability of a convolutional neural network-based model observer for breast tomosynthesis images with different volume glandular fractions | Hanjoo Jang Jongduk Baek | 2024/3/29 | |
Feasibility study of using masked auto-encoder for a streak artifact reduction in sparse view CT | Gihun Kim Jongduk Baek | 2024/4/2 | |
Direct estimation of the noise power spectrum from patient data to generate synthesized CT noise for denoising network training | Medical Physics | Minah Han Jongduk Baek | 2024/1/30 |
Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image | Physics in Medicine & Biology | Gihun Kim Jongduk Baek | 2023/10/4 |
Carbon nanotube-based multiple source C-arm CT system: feasibility study with prototype system | Optics Express | Seunghyuk Moon Jungsu Kang Youngkwang Kim Eunha Jo Pilsoo Jeong | 2023/12/18 |
Convolutional neural network‐based model observer for signal known statistically task in breast tomosynthesis images | Medical Physics | Hanjoo Jang Jongduk Baek | 2023/10 |
Chest tomosynthesis deblurring using CNN with deconvolution layer for vertebrae segmentation | Medical Physics | Yunsu Choi Hanjoo Jang Jongduk Baek | 2023/12 |
Strategy to implement a convolutional neural network based ideal model observer via transfer learning for multi-slice simulated breast CT images | Physics in Medicine & Biology | Gihun Kim Minah Han Jongduk Baek | 2023/5/30 |
Sparsier2Sparse: Self‐supervised convolutional neural network‐based streak artifacts reduction in sparse‐view CT images | Medical Physics | Seongjun Kim Byeongjoon Kim Jooho Lee Jongduk Baek | 2023/12 |
Utilization of an attentive map to preserve anatomical features for training convolutional neural‐network‐based low‐dose CT denoiser | Medical physics | Minah Han Hyunjung Shim Jongduk Baek | 2023/5 |
Deep learning‐based multimodal fusion network for segmentation and classification of breast cancers using B‐mode and elastography ultrasound images | Bioengineering & Translational Medicine | Sampa Misra Chiho Yoon Kwang‐Ju Kim Ravi Managuli Richard G Barr | 2023/11 |
Impact of using sinogram domain data in the super‐resolution of CT images on diagnostic information | Medical Physics | Minwoo Yu Minah Han Jongduk Baek | 2023/10/26 |
A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation | Medical physics | Byeongjoon Kim Hyunjung Shim Jongduk Baek | 2022/12 |
A new method to reduce helical artifacts in the reconstructed image from direct filtered backprojection | Seungwon Choi Jongduk Baek | 2022/4/4 | |
Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability … | PloS one | Changwoo Lee Jongduk Baek | 2022/5/19 |
Method to estimate fan‐beam CT noise power spectrum using two basis functions with a limited number of noise realizations | Medical physics | Hanjoo Jang Jongduk Baek | 2022/3 |
Sparsier2Sparse: weakly supervised learning for streak artifact reduction with unpaired sparse-view CT data | Seongjun Kim Byeongjoon Kim Jongduk Baek | 2022/10/17 |
