1 citations · 2 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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)…
Transformation-Augmented GRPO for Enhancing Exploration in Reasoning of Large Language Models
Khiem Le, Phuc Nguyen, Youssef Mroueh +4
Group Relative Policy Optimization (GRPO) has become the dominant method for reinforcement learning with verifiable rewards in large language models, but it suffers from two critic…
ConGaIT: A Clinician-Centered Dashboard for Contestable AI in Parkinson's Disease Care
Phuc Truong Loc Nguyen, Thanh Hung Do
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…
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Loc Phuc Truong Nguyen, Hung Truong Thanh Nguyen, Hung Cao
Explainable Artificial Intelligence (XAI) techniques for interpreting object detection models remain in an early stage, with no established standards for systematic evaluation. Thi…
Toward Generation of Test Cases from Task Descriptions via History-aware Planning
Duy Cao, Phu Nguyen, Vy Le +2
In automated web testing, generating test scripts from natural language task descriptions is crucial for enhancing the test generation process. This activity involves creating the…
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz +1
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen e…
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Hung Cao
Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technolog…
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen +5
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite…