S. Jeon

发表

IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.

K. Ahn, Y. Nam, Y. S. Lee, 2020, European journal of radiology.

Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury Using Machine Learning

Jae-Sung Park, Y. Shin, B. Son, 2019, Communications in Computer and Information Science.

Progressive Neurological Deterioration in Mild Traumatic Brain Injury with Acute Intracranial Hemorrhage: A Single Center, Retrospective Observational Comparative Study

Jae-Sung Park, Y. Shin, B. Son, 2018, The Nerve.

MicroRNA expression profiling in recurrent anaplastic oligodendroglioma treated with postoperative radiotherapy

Seung Il Kim, H. Jang, Gun-Hwa Kim, 2011 .

DCE and DSC MR perfusion imaging in the differentiation of recurrent tumour from treatment-related changes in patients with glioma.

K. Ahn, B. Kim, H. Choi, 2014, Clinical radiology.

Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models

K. Ahn, Y. Nam, Y. S. Lee, 2020, European Radiology.

MRI and Quantitative Magnetic Susceptibility Maps of the Brain after Serial Administration of Gadobutrol: A Longitudinal Follow-up Study.

K. Ahn, Y. Nam, J. Jang, 2020, Radiology.

Differential expression of MicroRNAs in patients with glioblastoma after concomitant chemoradiotherapy.

Seung Il Kim, H. Jang, Jongsun Jung, 2013, Omics : a journal of integrative biology.

Glioma grading using multiparametric MRI: head-to-head comparison among dynamic susceptibility contrast, dynamic contrast-enhancement, diffusion-weighted images, and MR spectroscopy.

K. Ahn, Yangsean Choi, B. Kim, 2023, European journal of radiology.