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Journal Articles
- 2024
[j9]Changheun Oh, Jun-Young Chung, Yeji Han:
Domain transformation learning for MR image reconstruction from dual domain input. Comput. Biol. Medicine 170: 108098 (2024)- 2023
- [j8]Seonyeong Shin, Yeji Han, Jun-Young Chung
:
A 2D-GRAPPA Algorithm with a Boomerang Kernel for 3D MRI Data Accelerated along Two Phase-Encoding Directions. Sensors 23(1): 93 (2023) - 2022
- [j7]Junghyun Song, Dongchan Kim, Yeji Han, Jun-Young Chung:
Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data. Int. J. Imaging Syst. Technol. 32(1): 163-177 (2022) - [j6]Jeung-Hoon Seo, Jun-Young Chung:
A Preliminary Study for Reference RF Coil at 11.7 T MRI: Based on Electromagnetic Field Simulation of Hybrid-BC RF Coil According to Diameter and Length at 3.0, 7.0 and 11.7 T. Sensors 22(4): 1512 (2022) - [j5]Jeung-Hoon Seo, Yeji Han, Jun-Young Chung:
A Comparative Study of Birdcage RF Coil Configurations for Ultra-High Field Magnetic Resonance Imaging. Sensors 22(5): 1741 (2022) - [j4]Jeung-Hoon Seo, Yeunchul Ryu, Jun-Young Chung:
Simulation Study of Radio Frequency Safety and the Optimal Size of a Single-Channel Surface Radio Frequency Coil for Mice at 9.4 T Magnetic Resonance Imaging. Sensors 22(11): 4274 (2022) - [j3]Changheun Oh, Jun-Young Chung, Yeji Han:
An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction. Sensors 22(19): 7277 (2022) - [j2]Jeung-Hoon Seo, Young-Seung Jo, Chang-Hyun Oh, Jun-Young Chung:
A New Combination of Radio-Frequency Coil Configurations Using High-Permittivity Materials and Inductively Coupled Structures for Ultrahigh-Field Magnetic Resonance Imaging. Sensors 22(22): 8968 (2022) - 2021
- [j1]Jun Yeon Won, Haewook Park, Seung-Eun Lee, Jeong-Whan Son, Yina Chung, Guen Bae Ko, Kyeong Yun Kim, Junghyun Song, Seongho Seo, Yeunchul Ryu, Jun-Young Chung, Jae Sung Lee:
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method. IEEE Trans. Medical Imaging 40(6): 1579-1590 (2021)
Conference and Workshop Papers
- 2018
- [c1]Changheun Oh, Dongchan Kim, Jun-Young Chung, Yeji Han, HyunWook Park:
ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network. MLMIR@MICCAI 2018: 12-20
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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