Results 1-6 of 6 (Search time: 0.0 seconds).
|2019||Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging||박예원||Article|
|2019||Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors||박예원||Article|
|2016||Early imaging findings in germ cell tumors arising from the basal ganglia||조현혜||Article|
|2018||Role of PI-RADS Version 2 for Prediction of Upgrading in Biopsy-Proven Prostate Cancer With Gleason Score 6||송완||Article|
|2016||Early prediction of response to neoadjuvant chemotherapy in breast cancer patients: comparison of single-voxel H-1-magnetic resonance spectroscopy and F-18-fluorodeoxyglucose positron emission tomography||윤혜전||Article|
|2017||Image quality at synthetic brain magnetic resonance imaging in children||조현혜||Article|