N
Nguyen Quoc Khanh Le Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
2 h-index
23 pubs
20 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Nguyen Quoc Khanh Le's research focuses on the application of advanced computational methods, particularly deep learning and artificial intelligence, to address challenges in medicine and biology. His work includes developing novel neural network architectures for tasks such as drug response prediction in lung cancer cell lines and improving the accuracy of medical image segmentation for obstetric ultrasound imaging.
Le has also investigated the impact of deep learning on the detection of pediatric elbow fractures through systematic reviews and meta-analyses. His research extends to enhancing peptide hormone prediction using artificial intelligence and exploring explainable AI approaches to identify protective predictors of cardiovascular disease. Additionally, he has contributed to the development of methods for sentiment analysis using large language models.
Metrics
- h-index: 2
- Publications: 23
- Citations: 20
Selected Publications
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DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction (2025)
Collaboration Network
Top Collaborators
Le Huu Nhat Minh
Taipei Medical University (TW)
5 shared publications
- Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
- Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation
- Protective predictors of cardiovascular disease: an explainable AI approach
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Phat K. Huynh
North Carolina Agricultural and Technical State University (US)
4 shared publications
- Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
- Protective predictors of cardiovascular disease: an explainable AI approach
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
H. H. Le
North Carolina Agricultural and Technical State University (US)
4 shared publications
- Abstract Fri073: Cardiac Involvement in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
- Abstract Fri073: Cardiac Involvement in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
- Protective predictors of cardiovascular disease: an explainable AI approach
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Thanh-Huy Nguyen
Carnegie Mellon University (US)
3 shared publications
- MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Mujie Liu
3 shared publications
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis
- Causal Prompting for Implicit Sentiment Analysis with Large Language Models
Hong-Han Huynh
Taipei Medical University (TW)
3 shared publications
- Abstract Fri073: Cardiac Involvement in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
- Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation
- Protective predictors of cardiovascular disease: an explainable AI approach
Nhi Huu Hanh Le
North Carolina Agricultural and Technical State University (US)
3 shared publications
- Abstract Fri073: Cardiac Involvement in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
- Protective predictors of cardiovascular disease: an explainable AI approach
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Phat Ky Nguyen
Taipei Medical University (TW)
3 shared publications
- DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
- Protective predictors of cardiovascular disease: an explainable AI approach
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Dang Tuan Nguyen
Harvard University (US)
2 shared publications
- Deep Learning-Based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges
- OASIS-Net: An Obstetric Adversarial Semi-Supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging
Quang Hien Kha
Taipei Medical University (TW)
2 shared publications
- A Deep Learning and PSSM Profile Approach for Accurate SNARE Protein Prediction
- Protective predictors of cardiovascular disease: an explainable AI approach
Thi-Xuan Tran
Thai Nguyen University (VN)
2 shared publications
- Kd_Multisucc: A Cross-Species Predictor of Protein Succinylation Sites Using Multi-Teacher Knowledge Distillation and Word Embedding
- CLW_SUMO: A hybrid deep learning model for predicting protein SUMOylation sites
Thi-Tuyen Nguyen
Thai Nguyen University (VN)
2 shared publications
- Improved Linear B-Cell Epitope Prediction Using CNN and BiLSTM
- Kd_Multisucc: A Cross-Species Predictor of Protein Succinylation Sites Using Multi-Teacher Knowledge Distillation and Word Embedding
Van‐Nui Nguyen
Thai Nguyen University (VN)
2 shared publications
- Improved Linear B-Cell Epitope Prediction Using CNN and BiLSTM
- Kd_Multisucc: A Cross-Species Predictor of Protein Succinylation Sites Using Multi-Teacher Knowledge Distillation and Word Embedding
Niharika Tewari
RMIT University (AU)
2 shared publications
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis
Jiangang Ma
Federation University (AU)
2 shared publications
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis
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