2 citations · 2 across the 7 of their papers we have counts for
7 papers
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen +5
Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importanc…
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong +4
Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, e…
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion
Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung +3
Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identific…
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen +4
Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficiency and pr…
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning
Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen +3
Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies…
Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance
Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham +2
Identifying pills given their captured images under various conditions and backgrounds has been becoming more and more essential. Several efforts have been devoted to utilizing the…