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Ulsan Univ. Repository

Browsing by 저자 : Hyo Jung Park

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1 Article Abbreviated magnetic resonance imaging vs ultrasound for surveillance of hepatocellular carcinoma in high-risk patients Hyo Jung Park ; So Yeon Kim ; Amit G Singal ; et al 2022
2 Article CT-based visual grading system for assessment of hepatic steatosis: diagnostic performance and interobserver agreement Hyo Jung Park ; Kyoung Won Kim ; Heon-Ju Kwon ; et al 2022
3 Article Current Landscape and Future Perspectives of Abbreviated MRI for Hepatocellular Carcinoma Surveillance Hyo Jung Park ; Nieun Seo ; So Yeon Kim 2022
4 Article Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI Hyo Jung Park ; Jee Seok Yoon ; Seung Soo Lee ; et al 2022
5 Article Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence Nari Kim ; Eun Sung Lee ; Sang Eun Won ; et al 2022
6 Article Hypervascular transformation of hepatobiliary phase hypointense nodules without arterial phase hyperenhancement on gadoxetic acid?enhanced MRI: long-term follow-up in a surveillance cohort Hyo Jung Park ; Tae Young Lee ; So Yeon Kim ; et al 2022
7 Article Impact of Baseline Muscle Mass and Myosteatosis on the Development of Early Toxicity During First-Line Chemotherapy in Patients With Initially Metastatic Pancreatic Cancer Sun Hong ; Kyung Won Kim ; Hyo Jung Park ; et al 2022
8 Article Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT Se Jin Choi ; Seung Soo Lee ; Kyung Hae Jung ; et al 2022
9 Article Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI Subin Heo ; Seung Soo Lee ; So Yeon Kim ; et al 2022
10 Article Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients Woohyung Lee ; Hyo Jung Park ; Hack-Jin Lee ; et al 2022

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