Jong-min Kim
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 14 publications
Novel Approach to Acute Heart Failure Risk Stratification Using AI-Derived Congestion Index from Chest Radiographs and Clinical Parameter.
Journal: Studies in health technology and informatics
Published: August 08, 2025
Developing Deep Learning-Based Cerebral Ventricle Auto-Segmentation System and Clinical Application for the Evaluation of Ventriculomegaly.
Journal: World neurosurgery
Published: July 10, 2025
Deep learning for automatic volumetric bowel segmentation on body CT images.
Journal: European radiology
Published: November 22, 2024
Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis.
Journal: Abdominal radiology (New York)
Published: August 10, 2024
Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans.
Journal: Scientific reports
Published: March 13, 2024
Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images.
Journal: Scientific reports
Published: August 25, 2023
Development of a deep-learning model for classification of LI-RADS major features by using subtraction images of MRI: a preliminary study.
Journal: Abdominal radiology (New York)
Published: April 05, 2023
Three-dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes.
Journal: Journal of cachexia, sarcopenia and muscle
Published: December 23, 2022
The orbital volume measurement in patients with ventriculoperitoneal shunt.
Journal: The Journal of craniofacial surgery
Published: December 10, 2014
p53 interferes with microtubule-stabilizing agent-induced apoptosis in prostate and colorectal cancer cells.
Journal: International journal of molecular medicine
Published: January 09, 2013
Last Updated: 09/26/2026