activity
20242026
most citedEEG-SSM: Leveraging State-Space Model for Dementia Detection

2 citations · 3 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

EEG-to-Report: An Annotation and Feature-Text Framework for Training Language Models on Clinical EEG

Xuan-The Tran, Le Trung Kien Nguyen

Clinical electroencephalography (EEG) reporting remains largely manual and time-consuming, and current EEG software ecosystems do not produce the structured EEG-text supervision ne…

cs.HC2026

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation

Thien Nhan Vo, Yen Nhi Tran Thi, Ngan Nguyen Xuan Phuong +1

Sleep deprivation impairs vigilance and cognitive function, yet jointly identifying the sleep condition (normal vs deprived) and the eye state (open vs closed) from electroencephal…

cs.HC2026

Sensory Restoration via Brain-Computer Interfaces: A Scoping Review

Xuan-The Tran

Brain-computer interfaces (BCIs) can restore sensory and motor function in individuals with severe neurological impairment, but the literature is fragmented between invasive neurop…

cs.SE2026

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study

Hai-Duong Nguyen, Xuan-The Tran

As multi-agent systems move from short interactions to tool-using workflows with specialized roles and persistent state, completion becomes a runtime-control problem rather than a…

eess.SP2026

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers

Tien-Dat Pham, Xuan-The Tran

Intracranial EEG (iEEG) provides high-fidelity neural recordings essential for clinical and brain-computer interface applications, but acquiring these signals requires invasive sur…

q-bio.NC2026★ 1 cited

Inter- and Intra-Subject Variability in EEG: A Systematic Survey

Xuan-The Tran, Thien-Nhan Vo, Son-Tung Vu +4

Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject variability limits reli…

cs.LG2026

EEG-Titans: Long-Horizon Seizure Forecasting via Dual-Branch Attention and Neural Memory

Tien-Dat Pham, Xuan-The Tran

Accurate epileptic seizure prediction from electroencephalography (EEG) remains challenging because pre-ictal dynamics may span long time horizons while clinically relevant signatu…

cs.HC2026

Design and Quantitative Evaluation of an Embedded EEG Instrumentation Platform for Real-Time SSVEP Decoding

Manh-Dat Nguyen, Thomas Do, Nguyen Thanh Trung Le +3

This paper presents an embedded EEG instrumentation platform for real-time steady-state visually evoked potential (SSVEP) decoding based on an ESP32-S3 microcontroller and an ADS12…

cs.LG2025

ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling

Hai Duong Nguyen, Xuan-The Tran

Deep learning has achieved strong performance for electrocardiogram (ECG) classification within individual datasets, yet dependable generalization across heterogeneous acquisition…

cs.LG2025

Can ChatGPT Diagnose Alzheimer's Disease?

Quoc-Toan Nguyen, Linh Le, Xuan-The Tran +2

Can ChatGPT diagnose Alzheimer's Disease (AD)? AD is a devastating neurodegenerative condition that affects approximately 1 in 9 individuals aged 65 and older, profoundly impairing…

cs.LG2024★ 2 cited

EEG-SSM: Leveraging State-Space Model for Dementia Detection

Xuan-The Tran, Linh Le, Quoc Toan Nguyen +2

State-space models (SSMs) have garnered attention for effectively processing long data sequences, reducing the need to segment time series into shorter intervals for model training…