Bo-Ryoung Jeong
Yonsei University · Medicine
About the Lab
Professor Bo-Ryoung Jeong's research lab specializes in diagnostic radiology and medical imaging, with a focus on improving the early detection and management of critical diseases through advanced imaging techniques and artificial intelligence. The lab develops innovative AI-driven tools for medical image analysis, particularly in neuroimaging and oncology, to enhance triage accuracy and clinical decision-making. Key research directions include radiomics for tumor recurrence prediction, interventional radiology for post-procedural complications, and the application of advanced MRI and CT imaging in gastrointestinal and head and neck cancers. The lab integrates clinical data with deep learning models to create practical, patient-centered solutions for radiological diagnosis and intervention.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Triage is essential for the early diagnosis and reporting of neurologic emergencies. Herein, we report the development of an anomaly detection algorithm (ADA) with a deep generative model trained on brain computed tomography (CT) images of healthy individuals that reprioritizes radiology worklists and provides lesion attention maps for brain CT images with critical findings. In the internal and external validation datasets, the ADA achieved area under the curve values (95% confidence interval) o
The radiomics model using ADC maps exhibited higher diagnostic performance than those of the radiomics models using T2WI or CE-T1WI and clinical parameters in the diagnosis of local tumor recurrence in HNSCC following definitive treatment.
CEAS of the small bowel typically manifested on enterography in varying numbers and lengths of abnormal ileal segments that showed circumferential mural thickening with layered enhancement without perienteric abnormalities. The lesions caused bowel strictures that required surgery in some patients.
Objectives: Transcatheter arterial embolisation (TAE) is widely used to treat gastrointestinal bleeding. This paper reports the safety and efficacy of TAE for bleeding following endoscopic resection, including endoscopic mucosal resection and endoscopic submucosal dissection. Methods: Fifteen consecutive patients (13 males, two females; mean age 62.2 years) from two tertiary medical centres who underwent TAE for gastroduodenal bleeding after endoscopic resection from November 2001 to December 20
The proposed risk score based on preoperative CA 19-9, CT, and <sup>18</sup>F-FDG PET/CT variables may have clinical utility in selecting high-risk patients with resectable PDAC.
BACKGROUND: Transcatheter arterial embolization (TAE) is not common for hemorrhagic complications after gynecologic hysterectomy. PURPOSE: To evaluate the effectiveness and safety of TAE for hemorrhage after hysterectomy for gynecologic diseases. MATERIAL AND METHODS: This is a retrospective, multicenter study, which investigated 11 patients (median age = 45 years) who underwent TAE for hemorrhage after gynecologic hysterectomy between 2004 and 2020. RESULTS: The median interval between surgery
<b><i>Introduction:</i></b> The Liver Imaging Reporting and Data System (LI-RADS) categorization has been proposed as a potential prognostic indicator for primary liver neoplasms in patients with liver cirrhosis or chronic hepatitis B. This multicenter study aimed to determine whether LI-RADS categorization can offer additional post-surgical prognostic value for intrahepatic cholangiocarcinoma (ICCA) when used in conjunction with the American Joint Committee on Cancer (AJ
Research Areas
Dive deeper into Bo-Ryoung Jeong's research on Nubint
Open this lab's papers in the app to read with AI, summarize, and cite in your writing.