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Korean Journal of Radiology|July 22, 2020
Prognostic Value of Dual-Energy CT-Based Iodine Quantification versus Conventional CT in Acute Pulmonary Embolism: A Propensity-Match AnalysisDong Jin Im, Jin Hur, Kyunghwa Han, et al.Radiology|October 17, 2019
Relationship between Lower Dose and Injection Speed of Iodinated Contrast Material for CT and Acute Hypersensitivity Reactions: An Observational StudyHyo Jung Park, Jung Hee Son, Tae-Bum Kim, et al.European Radiology|February 2, 2020
BI-RADS category 3, 4, and 5 lesions identified at preoperative breast MRI in patients with breast cancer: implications for managementSi Eun Lee, Ji Hye Lee, Kyunghwa Han, et al.Radiology|February 3, 2016
Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant CancersSung Yoon Park, Dae Chul Jung, Young Taik Oh, et al.Scientific Reports|July 23, 2020
Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validationSohi Bae, Chansik An, Sung Soo Ahn, et al.Journal of Neuro-Oncology|October 14, 2021
Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutantBeomseok Sohn, Chansik An, Dain Kim, et al.Cancer Research and Treatment|February 6, 2018
Incremental Role of Pancreatic Magnetic Resonance Imaging after Staging Computed Tomography to Evaluate Patients with Pancreatic Ductal AdenocarcinomaHye Jin Kim, Mi-Suk Park, Jin Yong Lee, et al.Scientific Reports|December 21, 2019
Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young childrenSungwon Kim, Haesung Yoon, Mi-Jung Lee, et al.Scientific Reports|November 30, 2019
Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. RadiologistsVivian Y Park, Kyunghwa Han, Yeong Kyeong Seong, et al.Radiology|May 25, 2021
Cortical Thickness from MRI to Predict Conversion from Mild Cognitive Impairment to Dementia in Parkinson Disease: A Machine Learning-based ModelNa-Young Shin, Mirim Bang, Sang-Won Yoo, et al.Pageof 29