Projects per year
Personal profile
Education
- 2014-2018 Ph.D., Department of Computer Science and Engineering, Yuan Ze University
- 2012-2014 M.S., Department of Computer Science and Engineering, Yuan Ze University
- 2005-2010 B.Eng., Information Technology, Da Lat University, Vietnam
Experience
- 2020.06- Assistant Professor, International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University
- 2019.08- Assistant Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University
- 2018.08-2019.08 Postdoctoral Research Fellow, School of Humanities, Nanyang Technological University, Singapore
- 2010.07-2012.02 VNG Corporation, VietnamAssociate QC Engineer
Research Interests
- Artificial Intelligence (Machine Learning & Deep Learning)
- Bioinformatics & Computational Biology
- Radiomics, Genomics, & Proteomics
Related Link
- https://khanhlee.github.io/
Fingerprint
Dive into the research topics where Nguyen Quoc Khanh Le is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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結合遷移學習和電腦斷層影像體學對非小細胞肺癌分子亞型進行分類
1/1/22 → 12/31/22
Project: B - Project of TMU › h - Higher Education Sprout Project
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DeepNLP-DNA：運用深度編解碼架構及二維卷積神經網路以分析去氧核糖核酸序列表現之預先訓練自然語言處理模型研究(1/2)
8/1/21 → 7/31/22
Project: A - Government Institution › b - Ministry of Science and Technology
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結合放射基因組學和自然語言處理提升肺癌復發的預測表現
1/1/21 → 12/31/21
Project: B - Project of TMU › h - Higher Education Sprout Project
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結合放射基因組學和自然語言處理提升肺癌復發的預測表現
1/1/20 → 12/1/20
Project: B - Project of TMU › h - Higher Education Sprout Project
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An AI-based Prediction Model for Drug-drug Interactions in Osteoporosis and Paget's Diseases from SMILES
Hung, T. N. K., Le, N. Q. K., Le, N. H., Tuan, L. V., Nguyen, T. P., Thi, C. & Kang, J. H., 2022, (Accepted/In press) In: Molecular Informatics. 41, 6, 2100264.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches
Nguyen, T. T. D., Tran, T. A., Le, N. Q. K., Pham, D. M. & Ou, Y. Y., 2022, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19, 1, p. 87-94 8 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Automatic Detection of Meniscus Tears Using Backbone Convolutional Neural Networks on Knee MRI
Hung, T. N. K., Vy, V. P. T., Tri, N. M., Hoang, L. N., Tuan, L. V., Ho, Q. T., Le, N. Q. K. & Kang, J. H., 2022, (Accepted/In press) In: Journal of Magnetic Resonance Imaging.Research output: Contribution to journal › Article › peer-review
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Development and Validation of Clinical Diagnostic Model for Girls with Central Precocious Puberty: Machine-learning Approaches
Huynh, Q. T. V., Le, N. Q. K., Huang, S. Y., Ho, B. T., Vu, T. H., Pham, H. T. M., Pham, A. L., Hou, J. W., Nguyen, N. T. K. & Chen, Y. C., Jan 2022, In: PLoS ONE. 17, 1 January, e0261965.Research output: Contribution to journal › Article › peer-review
Open Access -
Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks
Tng, S. S., Le, N. Q. K., Yeh, H. Y. & Chua, M. C. H., Jan 7 2022, In: Journal of Proteome Research. 21, 1, p. 265-273 9 p.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)
Datasets
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Additional file 3 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Phan, D. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Ou, Y. (Contributor) & Nguyen, T. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126668.v1, https://doi.org/10.6084%2Fm9.figshare.13126668.v1
Dataset
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Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Phan, D. (Contributor), Le, N. Q. K. (Contributor), Ou, Y. (Contributor), Ho, Q. (Contributor) & Nguyen, T. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126665.v1, https://doi.org/10.6084%2Fm9.figshare.13126665.v1
Dataset
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Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ho, Q. (Contributor), Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ou, Y. (Contributor) & Phan, D. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126674.v1, https://doi.org/10.6084%2Fm9.figshare.13126674.v1
Dataset
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Additional file 4 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ho, Q. (Contributor), Phan, D. (Contributor), Ou, Y. (Contributor), Nguyen, T. (Contributor) & Le, N. Q. K. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126671.v1, https://doi.org/10.6084%2Fm9.figshare.13126671.v1
Dataset
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Additional file 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ou, Y. (Contributor), Ho, Q. (Contributor), Nguyen, T. (Contributor), Le, N. Q. K. (Contributor) & Phan, D. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126662.v1, https://doi.org/10.6084%2Fm9.figshare.13126662.v1
Dataset