| 2019 | | A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer | 고영화, 안미선, 이수진 |
| 2012 | | A practical scoring system for predicting cirrhosis in patients with chronic viral hepatitis | 김영배, 박래웅, 신승수, 정재연, 조성원 |
| 2016 | | A Predictive Model for Parametrial Invasion in Patients With FIGO Stage IB Cervical Cancer: Individualized Approach for Primary Treatment | 공태욱, 백지흠, 유희석, 이용희, 이은주, 장석준 |
| 2014 | | Absolute monocyte count predicts overall survival in mantle cell lymphomas: correlation with tumour-associated macrophages. | 고영화 |
| 2011 | | Diagnostic value of multiple biomarker panel for prediction of significant fibrosis in chronic hepatitis C. | 김영배, 정재연, 조성원 |
| 2014 | | MicroRNA expression profiling and Notch1 and Notch2 expression in minimal deviation adenocarcinoma of uterine cervix. | 이용희 |
| 2021 | | Style transfer strategy for developing a generalizable deep learning application in digital pathology | 노진, 박래웅 |
| 2021 | | Tb antigen-stimulated cxcr3 ligand assay for diagnosis of tuberculous lymphadenitis | 고영화, 박광주, 박주헌, 박지은, 선주성, 신승수, 이규성, 정우영, 정윤정 |
| 2021 | | Technical feasibility of radiomics signature analyses for improving detection of occult tonsillar cancer | 노진, 이수진, 장전엽, 하은주 |
| 2015 | | The absolute lymphocyte to monocyte ratio is associated with poor prognosis in classical Hodgkin lymphoma patients younger than 60 years of age. | 고영화 |
| 2018 | | The capsule appearance of hepatocellular carcinoma in gadoxetic acid-enhanced MR imaging: Correlation with pathology and dynamic CT | 김보현, 김영배, 김재근, 김혜진, 이다근, 이제희 |
