Jingyu Lee

Orcid: 0000-0001-9728-7631

According to our database1, Jingyu Lee authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

Poster: Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality.
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
Band: coordinated multi-DNN inference on heterogeneous mobile processors.
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

2021
<i>In silico</i> methods and tools for drug discovery.
Comput. Biol. Medicine, 2021

Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention.
Artif. Intell. Medicine, 2021

ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference.
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


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