Jingyu Lee
Orcid: 0000-0001-9728-7631
According to our database1,
Jingyu Lee
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history.
BMC Medical Informatics Decis. Mak., April, 2024
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024
2023
A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds.
Bioinform., October, 2023
2022
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022
2021
Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention.
Artif. Intell. Medicine, 2021
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021
2020
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities.
IEEE Trans. Medical Imaging, 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention.
CoRR, 2020
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation.
CoRR, 2020
Deeply self-supervised contour embedded neural network applied to liver segmentation.
Comput. Methods Programs Biomed., 2020
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation.
Comput. Biol. Medicine, 2020
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor.
BMC Bioinform., 2020
2019
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities.
CoRR, 2019
2018
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation.
CoRR, 2018