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Journal of Imaging Informatics in Medicine|February 21, 2024
A Comparative Study of Performance Between Federated Learning and Centralized Learning Using Pathological Image of Endometrial CancerJong Chan Yeom, Jae Hoon Kim, Young Jae Kim, et al.
Digital Health|March 26, 2026
Radiomics-based differentiation of hepatocellular carcinoma and dysplastic nodules using noncontrast abbreviated MRIJun Young Park, Yoonseok Lee, Young Jae Kim, et al.
Korean Journal of Radiology|December 5, 2006
Volumetric measurements of lung nodules with multi-detector row CT: effect of changes in lung volumeJin Mo Goo, Kwang Gi Kim, David S Gierada, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|February 3, 2015
Vision-based variable impedance control with oscillation observer for respiratory motion compensation during robotic needle insertion: a preliminary testChang Nho Cho, Jong Hyun Seo, Hong Rae Kim, et al.
Journal of Medical Systems|June 17, 2026
Building a Clinically Relevant and Technically Robust Synthetic Histopathology Dataset for Breast and Gastric CancerSo Hyeon Lee, Young Seop Lee, Young Jae Kim, et al.
Plos One|April 4, 2025
Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging dataYoung Seo Baik, Hannah Lee, Young Jae Kim, et al.
Taehan Yongsang Uihakhoe Chi|October 14, 2022
Deep Learning in Thyroid Ultrasonography to Predict Tumor Recurrence in Thyroid CancersJieun Kil, Kwang Gi Kim, Young Jae Kim, et al.
Journal of Imaging Informatics in Medicine|September 10, 2025
Deep-Learning System for Automatic Measurement of the Femorotibial Rotational Angle on Lower-Extremity Computed TomographySheen-Woo Lee, Gi Pyo Lee, Ieun Yoon, et al.
Surgical Endoscopy|August 14, 2024
Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methodsJoon-Hyop Lee, EunKyung Ku, Yoo Seung Chung, et al.
The British Journal of Ophthalmology|June 10, 2016
Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screeningSang Beom Han, Hee Kyung Yang, Ji Eun Oh, et al.
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