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AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imagingopen access

Yoon, Dan; Chang, Sung Hoon; Paik, Woo Hyun; Kim, Chang Hyun; Kim, Byeong Soo; Kim, Young Gyun; Chung, Hyunsoo; Ryu, Ji Kon; Lee, Sang Hyub; Cho, In Rae, et al.

ArticleIssue Date2026CitationSurgical Endoscopy And Other Interventional TechniquesPublisherSPRINGER
SCIESCOPUSKCI
Clinical Significance of Venous Thromboembolism in Patients with Advanced Cholangiocarcinomaopen access

Kim, Joo Seong; Paik, Woo Hyun; Lee, Sang Hyub; Lee, Min Woo; Park, Namyoung; Choi, Jin Ho; Cho, In Rae; Ryu, Ji Kon; Kim, Yong-Tae

ArticleIssue Date2024CitationGut and Liver, v.18, no.1, pp 165 - 173Publisher거트앤리버 소화기연관학회협의회
SCIESCOPUS
Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter studyopen access

Kim, Joo Seong; Kwon, Doyun; Kim, Kyungdo; Lee, Sang Hyub; Lee, Seung-Bo; Kim, Kwangsoo; Kim, Dongmin; Lee, Min Woo; Park, Namyoung; Choi, Jin Ho, et al.

ArticleIssue Date2024CitationScientific Reports, v.14, no.1PublisherNature Portfolio
SCIESCOPUS
Prognostic efficacy of lymph node parameters in resected ampullary adenocarcinoma based on long-term follow-up data after adjuvant treatment

Park, Namyoung; Cho, In Rae; Lee, Sang Hyub; Kim, Joo Seong; Choi, Jin Ho; Lee, Min Woo; Paik, Woo Hyun; Joo, Kwang Ro; Ryu, Ji Kon; Kim, Yong-Tae

ArticleIssue Date2024CitationWorld Journal of Surgical Oncology, v.22, no.1, pp 1 - 13PublisherBMC
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