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Jingyu Lee

Showing results (1-10 of 19) with videos related to

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Journal of Microbiology (Seoul, Korea)|January 4, 2020
Recent advances in genetic engineering tools based on synthetic biologyJun Ren, Jingyu Lee, Dokyun Na
BMC Bioinformatics|October 27, 2020
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptorMyeong-Sang Yu, Jingyu Lee, Yongmin Lee, et al.
Computers in Biology and Medicine|September 14, 2021
In silico methods and tools for drug discoveryBilal Shaker, Sajjad Ahmad, Jingyu Lee, et al.
Computer Methods and Programs in Biomedicine|March 24, 2020
Deeply self-supervised contour embedded neural network applied to liver segmentationMinyoung Chung, Jingyu Lee, Minkyung Lee, et al.
Journal of Microbiology (Seoul, Korea)|February 3, 2025
A review on computational models for predicting protein solubilityTeerapat Pimtawong, Jun Ren, Jingyu Lee, et al.
Molecules (Basel, Switzerland)|September 10, 2021
Recent Advances in Micro/Nanomaterial-Based Aptamer Selection StrategiesDong-Min Kim, Myeong-June Go, Jingyu Lee, et al.
Journal of Microbiology (Seoul, Korea)|February 29, 2020
User guide for the discovery of potential drugs via protein structure prediction and ligand docking simulationBilal Shaker, Myung-Sang Yu, Jingyu Lee, et al.
Journal of Hazardous Materials|September 19, 2025
Explainable AI for predicting oxidative potential of fine particles and key chemical driversSeunghye Lee, Minhan Park, Jingyu Lee, et al.
Artificial Intelligence in Medicine|March 9, 2021
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attentionMinyoung Chung, Jingyu Lee, Sanguk Park, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered SimilaritiesMinyoung Chung, Jingyu Lee, Wisoo Song, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Journal of Microbiology (Seoul, Korea)|January 4, 2020
Recent advances in genetic engineering tools based on synthetic biologyJun Ren, Jingyu Lee, Dokyun Na
BMC Bioinformatics|October 27, 2020
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptorMyeong-Sang Yu, Jingyu Lee, Yongmin Lee, et al.
Computers in Biology and Medicine|September 14, 2021
In silico methods and tools for drug discoveryBilal Shaker, Sajjad Ahmad, Jingyu Lee, et al.
Computer Methods and Programs in Biomedicine|March 24, 2020
Deeply self-supervised contour embedded neural network applied to liver segmentationMinyoung Chung, Jingyu Lee, Minkyung Lee, et al.
Journal of Microbiology (Seoul, Korea)|February 3, 2025
A review on computational models for predicting protein solubilityTeerapat Pimtawong, Jun Ren, Jingyu Lee, et al.
Molecules (Basel, Switzerland)|September 10, 2021
Recent Advances in Micro/Nanomaterial-Based Aptamer Selection StrategiesDong-Min Kim, Myeong-June Go, Jingyu Lee, et al.
Journal of Microbiology (Seoul, Korea)|February 29, 2020
User guide for the discovery of potential drugs via protein structure prediction and ligand docking simulationBilal Shaker, Myung-Sang Yu, Jingyu Lee, et al.
Journal of Hazardous Materials|September 19, 2025
Explainable AI for predicting oxidative potential of fine particles and key chemical driversSeunghye Lee, Minhan Park, Jingyu Lee, et al.
Artificial Intelligence in Medicine|March 9, 2021
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attentionMinyoung Chung, Jingyu Lee, Sanguk Park, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered SimilaritiesMinyoung Chung, Jingyu Lee, Wisoo Song, et al.
Pageof 2