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ORCIDSang Min Lee 0013
Person information
- affiliation: University of Ulsan, College of Medicine, Seoul, Korea
Other persons with the same name
- Sangmin Lee (aka: Sang-Min Lee, SangMin Lee, Sang-min Lee, Sang Min Lee) — disambiguation page
- Sang Min Lee 0012 — Korea Aerospace University, Department of Computer Engineering, Seoul, Korea
- Sang Min Lee 0014
![[0000-0002-8234-520X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8234-520X")
— Qualcomm Technologies, Inc., San Diego, CA, USA (and 2 more) - Sang-min Lee 0016 (aka: Sang-Min Lee 0016, Sang Min Lee 0016, SangMin Lee 0016, Sangmin Lee 0016) — Pusan National University, Department of Computer Science and Engineering, Busan, Korea
- Sangmin Lee 0017 (aka: Sang Min Lee 0017) — Korea Advanced Institute of Science and Technology, KAIST, Department of Mathematical Sciences, Daejeon, Korea (and 1 more)
- Sang Min Lee 0018 — Hankuk Aviation University, Computer Engineering Department, Network Security Lab, Korea
Other persons with a similar name
- Sangmin Lee 0011 (aka: Sang-min Lee 0011) — Korea Advanced Institute of Science and Technology, KAIST, Department of Civil and Environmental Engineering, Korea
- Sangmin Lee 0015 (aka: Sang-Min Lee 0015) — Soonchunhyang University, Department of ICT Convergence, Korea
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2020 – today
- 2024
[j10]Sungwon Ham, Beomhee Park, Jihye Yun, Sang Min Lee, Joon Beom Seo, Namkug Kim:
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. 34(5) (2024)- 2023
- [j9]Kyungjin Cho, Jeeyoung Kim, Ki Duk Kim, Seungju Park, Junsik Kim, Jihye Yun, Yura Ahn, Sang Young Oh, Sang Min Lee, Joon Beom Seo, Namkug Kim:
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs. Medical Image Anal. 89: 102894 (2023) - [c2]Changyong Choi, Jiheon Jeong, Sangyoon Lee, Sang Min Lee, Namkug Kim:
CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning. MICCAI (10) 2023: 344-354 - 2022
- [j8]Ki Duk Kim, Kyungjin Cho, Mingyu Kim, Kyung Hwa Lee, Seungjun Lee, Sang Min Lee, Kyung Hee Lee, Namkug Kim:
Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials. Comput. Methods Programs Biomed. 220: 106705 (2022) - 2021
- [j7]Yongwon Cho, BeomHee Park, Sang Min Lee, Kyung Hee Lee, Joon Beom Seo, Namkug Kim:
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. Comput. Biol. Medicine 136: 104750 (2021) - [j6]Yongwon Cho, Sang Min Lee, Young-Hoon Cho, June-Goo Lee, BeomHee Park, Gaeun Lee, Namkug Kim, Joon Beom Seo:
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. Int. J. Imaging Syst. Technol. 31(1): 72-81 (2021) - 2020
- [j5]Da-in Eun, Ilsang Woo, BeomHee Park, Namkug Kim, Sang Min Lee, Joon Beom Seo:
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. 196: 105615 (2020)
2010 – 2019
- 2019
- [j4]Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee:
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans. J. Digit. Imaging 32(5): 779-792 (2019) - [j3]BeomHee Park, Heejun Park, Sang Min Lee, Joon Beom Seo, Namkug Kim:
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. J. Digit. Imaging 32(6): 1019-1026 (2019) - 2018
- [j2]Myungsoo Bae, SangMin Lee, Namkug Kim:
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. 160: 25-32 (2018) - [j1]Sanghoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim:
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 31(2): 235-244 (2018) - 2015
- [c1]Minho Lee, Namkug Kim, SangMin Lee, Joon Beom Seo, Sang Young Oh:
Size-based emphysema cluster analysis on low attenuation area in 3D volumetric CT: comparison with pulmonary functional test. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172V
Coauthor Index
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