collaborators

11 papers

cs.CV2026

Geometry-anchored PET-aware multimodal pseudo-CT synthesis for whole-body attenuation correction: the BIC-MAC Challenge

Xuan Loc Nguyen, Hoang-Loc Cao, Truong Thanh Hung Nguyen +4

The BIC-MAC challenge targets whole-body pseudo-CT synthesis from NAC-PET, Dixon MRI, and a 2D topogram for CT-less PET attenuation correction. We propose GeoPACT, a geometry-ancho…

cs.AI2026

Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination

Truong Thanh Hung Nguyen, Hoang-Loc Cao, Phuc Ho +3

Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipeline…

cs.AI2026

CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs

Hung Truong Thanh Nguyen, Hélène Fournier, Piper Jackson +4

AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions across clinical, functional, psychosocial, and environmental needs…

cs.AI2026

Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation

Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen +4

Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datasets, labe…

cs.PF2026

Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study

Alfarizy Alfarizy, Hung Truong Thanh Nguyen, René Richard +2

Mixture-of-Experts (MoE) language models are often described as ideal for resource-constrained inference. Each token activates only a small subset of experts, so the per-token comp…

cs.AI2026

Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification

Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao +5

Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, trade statistics, and regulatory compliance in maritime logistics…

cs.MM2026

Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification

Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Hoang-Loc Cao +3

Multimedia verification requires not only accurate conclusions but also transparent and contestable reasoning. We propose a contestable multi-agent framework that integrates multim…

cs.MA2026

Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning

Hoang-Loc Cao, Phuc Ho, Truong Thanh Hung Nguyen +3

Legal reasoning requires not only high accuracy but also the ability to justify decisions through verifiable and contestable arguments. However, existing Large Language Model (LLM)…

eess.SP2025

Enhancing Alzheimer's Detection through Late Fusion of Multi-Modal EEG Features

Nguyen Thanh Vinh, Manoj Vishwanath, Thinh Nguyen-Quang +6

Alzheimer s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, where early detection is essential for timely intervention and improved pat…

cs.HC2025

Motion2Meaning: A Clinician-Centered Framework for Contestable LLM in Parkinson's Disease Gait Interpretation

Loc Phuc Truong Nguyen, Hung Thanh Do, Hung Truong Thanh Nguyen +1

AI-assisted gait analysis holds promise for improving Parkinson's Disease (PD) care, but current clinical dashboards lack transparency and offer no meaningful way for clinicians to…

cs.AI2025

Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors

Hung Nguyen, Alireza Rahimi, Veronica Whitford +4

Psychiatric disorders affect millions globally, yet their diagnosis faces significant challenges in clinical practice due to subjective assessments and accessibility concerns, lead…