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
URL
- 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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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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Research output
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A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features
Le, N. Q. K., Do, D. T., Nguyen, T. T. D. & Le, Q. A., Jun 30 2021, In: Gene. 787, 145643.Research output: Contribution to journal › Article › peer-review
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Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels
Nguyen, T. T. D., Le, N. Q. K., Tran, T. A., Pham, D. M. & Ou, Y. Y., Mar 2021, In: Computers in Biology and Medicine. 130, 104212.Research output: Contribution to journal › Article › peer-review
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Prediction of anterior cruciate ligament injury from MRI using deep learning
Truong, N. K. H., Nguyen, T. P., Kha, Q. H., Le, N. H., Le, V. T., Cao, T., Luu, H. T. L., Le, N. Q. K. & Kang, J. H., 2021, International Forum on Medical Imaging in Asia 2021. Chang, R-F. (ed.). SPIE, 117920F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11792).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI
Le, N. Q. K., Hung, T. N. K., Do, D. T., Lam, L. H. T., Dang, L. H. & Huynh, T. T., May 2021, In: Computers in Biology and Medicine. 132, 104320.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus) -
A computational framework based on ensemble deep neural networks for essential genes identification
Le, N. Q. K., Do, D. T., Hung, T. N. K., Lam, L. H. T., Huynh, T. T. & Nguyen, N. T. K., Dec 1 2020, In: International journal of molecular sciences. 21, 23, p. 1-16 16 p., 9070.Research output: Contribution to journal › Article › peer-review
Open Access24 Citations (Scopus)
Datasets
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Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126674.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126674/1
Dataset
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Additional file 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126662.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126662/1
Dataset
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Additional file 3 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126668.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126668/1
Dataset
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Additional file 4 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126671.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_4_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126671/1
Dataset
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Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126665.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126665/1
Dataset