日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Deep learning-based combined noise reduction and contrast enhancement for post-neoadjuvant pancreatic cancer CT: does improved image quality translate to better resectability assessment?

基于深度学习的胰腺癌新辅助治疗后CT降噪和对比度增强技术:图像质量的提高能否转化为更好的可切除性评估?

Hong, Seok Jin; Jeon, Sun Kyung; Yoo, Jeongin; Zhu, Liang; Yoon, Jeong Hee; Kang, Hyo-Jin; Park, Junghoan; Lee, Jeong Min

Important radiological and clinicopathological risk factors for the recurrence of intraductal papillary mucinous neoplasms after surgical resection

手术切除后导管内乳头状黏液性肿瘤复发的重要放射学和临床病理学危险因素

Park, Junghoan; Kim, Jung Hoon; Ryu, Rae Rim; Hwang, Sungjun

Deep learning for automatic volumetric bowel segmentation on body CT images

基于深度学习的体部CT图像自动肠道容积分割

Park, Junghoan; Park, Sungeun; Chung, Han-Jae; Lee, Da In; Kim, Jong-Min; Kim, Se Hyung; Choe, Eun Kyung; Park, Kyu Joo; Yoon, Soon Ho

Three-dimensional organ segmentation-derived CT attenuation parameters for assessing hepatic steatosis in chronic hepatitis B patients

三维器官分割衍生的CT衰减参数用于评估慢性乙型肝炎患者的肝脂肪变性

Yoo, Jeongin; Joo, Ijin; Jeon, Sun Kyung; Park, Junghoan; Cho, Eun Ju

High-acceleration pancreatobiliary MRI with deep learning-based super-resolution reconstruction for evaluating presumed pancreatic intraductal papillary mucinous neoplasm

利用基于深度学习的超分辨率重建技术进行高加速胰胆MRI成像,以评估疑似胰腺导管内乳头状黏液性肿瘤

Jeon, Sun Kyung; Lee, Jeong Min; Park, Junghoan; Hwang, Sungjun; Ryu, Rae Rim

Small pancreatic ductal adenocarcinoma (≤ 2 cm): different imaging and clinicopathologic features according to extrapancreatic extension

小胰腺导管腺癌(≤ 2 cm):根据胰外侵犯情况,影像学和临床病理特征各异。

Ryu, Rae Rim; Kim, Jung Hoon; Park, Junghoan; Hwang, Sungjun

Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis

用于非增强CT的腹部器官自动分割算法,可用于容积测量和三维放射组学分析

Park, Junghoan; Joo, Ijin; Jeon, Sun Kyung; Kim, Jong-Min; Park, Sang Joon; Yoon, Soon Ho

Automated hepatic steatosis assessment on dual-energy CT-derived virtual non-contrast images through fully-automated 3D organ segmentation

通过全自动三维器官分割技术,对双能量CT衍生的虚拟非增强图像进行肝脂肪变性自动评估

Jeon, Sun Kyung; Joo, Ijin; Park, Junghoan; Yoo, Jeongin

Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters

利用全自动三维器官分割技术,结合基于CT衰减参数的肝脂肪变性评估

Yoo, Jeongin; Joo, Ijin; Jeon, Sun Kyung; Park, Junghoan; Yoon, Soon Ho

Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans

基于深度学习的合成对比增强腹部CT在未进行增强CT扫描的患者中的临床可行性

Han, Seungchul; Kim, Jong-Min; Park, Junghoan; Kim, Se Woo; Park, Sungeun; Cho, Jungheum; Park, Sae-Jin; Chung, Han-Jae; Ham, Seung-Min; Park, Sang Joon; Kim, Jung Hoon