Sang Min Lee
Orcid: 0000-0002-2173-2193Affiliations:
- University of Ulsan, College of Medicine, Seoul, Korea
According to our database1,
Sang Min Lee
authored at least 12 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases.
Int. J. Imaging Syst. Technol., 2024
2023
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs.
Medical Image Anal., October, 2023
CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials.
Comput. Methods Programs Biomed., 2022
2021
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2021
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine, 2021
2020
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.
Comput. Methods Programs Biomed., 2020
2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
J. Digit. Imaging, 2019
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans.
J. Digit. Imaging, 2019
2018
Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images.
J. Digit. Imaging, 2018
Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system.
Comput. Methods Programs Biomed., 2018
2015
Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015