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European Radiology|March 6, 2025
Deep learning-based quantification of T2-FLAIR mismatch sign: extending IDH mutation prediction in adult-type diffuse lower-grade gliomaYoung Hun Jeon, Kyu Sung Choi, Kyung Hoon Lee, et al.
Korean Journal of Radiology|July 16, 2021
Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRIElena Pak, Kyu Sung Choi, Seung Hong Choi, et al.
Scientific Reports|January 25, 2024
Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patientsJungbin Yoon, Nayeon Baek, Roh-Eul Yoo, et al.
Scientific Reports|August 24, 2023
Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4)Donggeon Heo, Jisoo Lee, Roh-Eul Yoo, et al.
Scientific Reports|May 12, 2021
Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRIKa Young Shim, Sung Won Chung, Jae Hak Jeong, et al.
Korean Journal of Radiology|November 3, 2018
Low-Tube-Voltage CT Urography Using Low-Concentration-Iodine Contrast Media and Iterative Reconstruction: A Multi-Institutional Randomized Controlled Trial for Comparison with Conventional CT UrographySang Youn Kim, Jeong Yeon Cho, Joongyub Lee, et al.
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