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
Awards
- Best Oral Presenter Award (20th Asia Pacific Bioinformatics Conference-APBC2022)
- TMU Excellent Research Paper Award (Taipei Medical University)
- Future Tech Awards (Taiwan FUTEX 2021)
Research Interests
- Artificial Intelligence (Machine Learning & Deep Learning)
- Bioinformatics & Computational Biology
- Genomics, Proteomics, Radiomics
- Biomedical informatics
Related Link
- http://aibiomed.tmu.edu.tw/
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: a Pre-Trained Nlp Model for Dna Sequence Representation Using Deep Transformers and 2d Convolutional Neural Networks
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
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Sequence-Based Protein Function Prediction Using Graph Transformers and Deep Representative Learning (1/3)
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
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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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ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis
Tran, T. O., Vo, T. H., Lam, L. H. T. & Le, N. Q. K., Jan 2023, In: Computational and Structural Biotechnology Journal. 21, p. 1921-1929 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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., Mar 2023, In: Journal of Magnetic Resonance Imaging.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer
Le, V. H., Kha, Q. H., Minh, T. N. T., Nguyen, V. H., Le, V. L. & Le, N. Q. K., 2023, (Accepted/In press) In: Journal of Digital Imaging.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Improved prediction of drug-drug interactions using ensemble deep neural networks
Vo, T. H., Nguyen, N. T. K. & Le, N. Q. K., Feb 2023, In: Medicine in Drug Discovery. 17, 100149.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method
Zheng, Z., Le, N. Q. K. & Chua, M. C. H., Jan 15 2023, In: Chemometrics and Intelligent Laboratory Systems. 232, 104715.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Datasets
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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 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
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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), Figshare, 2020
DOI: 10.6084/m9.figshare.c.5182812.v1, https://springernature.figshare.com/collections/TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/5182812/1
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 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