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Disambiguation of "Le, Nguyen-Quoc-Khanh"

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An MRI-based radiomics signatures for overall survival prediction of gliomas patients.

, , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Quoc-Khanh Nguyen

Nguyen quoc Khanh

Quoc-Khanh Nguyen

Le Khanh

Tran Quoc Khanh

 

Other publications of authors with the same name

ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins., , and . BMC Bioinform., 20 (1): 377:1-377:12 (2019)Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles., , and . J. Chem. Inf. Model., 62 (19): 4820-4826 (2022)FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers., , , and . Comput. Biol. Medicine, (2021)Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels., , , , and . Comput. Biol. Medicine, (2021)Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems., , , , , and . Appl. Intell., 52 (3): 2720-2744 (2022)Sequence-based prediction model of protein crystallization propensity using machine learning and two-level feature selection., , and . Briefings Bioinform., (September 2023)Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs., and . BMC Bioinform., (2016)Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles., and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2189-2197 (2021)DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes., , , , and . Neurocomputing, (2020)Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding., , , , and . Briefings Bioinform., (January 2023)