Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-06
N
Nguyen Quoc Khanh Le
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
2 h-index
23 pubs
21 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Nguyen Quoc Khanh Le's research centers on the application of artificial intelligence and machine learning techniques to address challenges in medicine and biology. His recent work includes developing deep learning models for predicting drug responses in lung cancer cell lines and improving the prediction of peptide hormones. He has also investigated the use of AI in medical imaging, such as an adversarial semi-supervised network for ultrasound segmentation in obstetrics, and has contributed to systematic reviews on the impact of deep learning in pediatric fracture detection.
His research also extends to natural language processing for sentiment analysis and the application of explainable AI to identify predictors of cardiovascular disease. Le's scholarly output includes 23 publications with an h-index of 2, reflecting his contributions to these interdisciplinary fields.
Metrics
- h-index: 2
- Publications: 23
- Citations: 21
Selected Publications
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Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract) (2026)
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Multi-omics Integration (2025)
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OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging (2025)
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Causal Prompting for Implicit Sentiment Analysis with Large Language Models (2025)
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Protective predictors of cardiovascular disease: an explainable AI approach (2025)
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Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis (2025)
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Natural language processing (2025)
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DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction (2025)
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BrainMAP: Multimodal Graph Learning for Efficient Brain Disease Localization (2025)
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Abstract Fri073: Cardiac Involvement in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis (2025)
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Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis (2025)
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MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines (2025)
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Improved Linear B-Cell Epitope Prediction Using CNN and BiLSTM (2025)
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Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis (2025)
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Kd_Multisucc: A Cross-Species Predictor of Protein Succinylation Sites Using Multi-Teacher Knowledge Distillation and Word Embedding (2025)
Collaboration Network
Top Collaborators
Le Huu Nhat Minh
Taipei Medical University (TW)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Uyen Khoi Minh Huynh
Nong Lam University Ho Chi Minh City (VN)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Hong Xuan Ong
Ho Chi Minh City Medicine and Pharmacy University (VN)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Phat K. Huynh
North Carolina Agricultural and Technical State University (US)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Minh Tuan Nguyen Dinh
University of Da Nang (VN)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Hung Huynh
Taipei Medical University (TW)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Hien Quang Kha
Taipei Medical University (TW)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Phat Ky Nguyen
Taipei Medical University (TW)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Xuan-Loc Huynh
Boston University (US)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Allison Vo
Can Tho University (VN)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Thanh-Minh Nguyen
Université de Bourgogne (FR)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Thanh-Huy Nguyen
Université de Bourgogne (FR)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Quan Nguyen
Vietnam Posts and Telecommunications Group (Vietnam) (VN)
1 shared publication
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
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