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Publication Date2024-01
Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patients
Yoon, Jungbin; Baek, Nayeon; Yoo, Roh-Eul, et al
Scientific Reports, v.14, no.1
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Publication Date2023-08
Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4)
Heo, Donggeon; Lee, Jisoo; Yoo, Roh-Eul, et al
Scientific Reports, v.13, no.1
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Publication Date2021-12
Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI
Kang, Koung Mi; Seung Hong Choi; Chul-Kee, Park, et al
European Radiology, v.31, no.12, pp.9098 - 9109
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Publication Date2013-12
Differentiation of True Progression from Pseudoprogression in Glioblastoma Treated with Radiation Therapy and Concomitant Temozolomide: Comparison Study of Standard and High-b-Value Diffusion-weighted Imaging
Chu, Hee Ho; Seung Hong Choi; Ryoo, Inseon, et al
RADIOLOGY, v.269, no.3, pp.831 - 840
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Publication Date2013-05
Early response evaluation for recurrent high grade gliomas treated with bevacizumab: a volumetric analysis using diffusion-weighted imaging
Hwang, Eui Jin; Cha, Yongjun; Lee, A. Leum, et al
JOURNAL OF NEURO-ONCOLOGY, v.112, no.3, pp.427 - 435
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Publication Date2023-02
Ex vivo NMR metabolomics approach using cerebrospinal fluid for the diagnosis of primary CNS lymphoma: Correlation with MR imaging characteristics
Kim, Jae Hyun; An, Yong Jin; Kim, Tae Min, et al
CANCER MEDICINE, v.12, no.4, pp.4679 - 4689
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Publication Date2021-09
Prediction of prognosis in glioblastoma using radiomics features of dynamic contrast-enhanced mri
Pak, Elena; Choi, Kyu Sung; Seung Hong Choi, et al
Korean Journal of Radiology, v.22, no.9, pp.1514 - 1524
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Publication Date2021-05-11
Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI
Shim, Ka Young; Chung, Sung Won; Jeong, Jae Hak, et al
SCIENTIFIC REPORTS, v.11, no.1