Area of research
Cognitive Neuroscience · Pediatrics, Perinatology and Child Health
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neonatal and fetal brain pathology, Blind Source Separation Techniques, and Functional Brain Connectivity Studies.
SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy
Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening
Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study
The Richmond Agitation-Sedation Scale for Behavioral Assessment in Acute Dementia Care
34. ENVIRONMENTAL TRIGGERS OF SPECIFIC SUBTYPES OF AGITATION IN PEOPLE WITH DEMENTIA: AN OBSERVATIONAL STUDY.
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection
Cardiorespiratory disturbances in focal impaired awareness seizures: Insights from wearable ECG monitoring
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging
Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research
The roles, challenges, and merits of the p value
In‐hospital and home‐based long‐term monitoring of focal epilepsy with a wearable electroencephalographic device: Diagnostic yield and user experience
The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG
A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation
Assessing a digital technology-supported community child health programme in India using the Social Return on Investment framework
Unraveling the relationship between heart rate and agitation in people with dementia
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification
Denoising EEG Signals for Real-World BCI Applications Using GANs
From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging
Data-Driven Chronic Allograft Phenotypes: A Novel and Validated Complement for Histologic Assessment of Kidney Transplant Biopsies
Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation
Accurate detection of typical absence seizures in adults and children using a two‐channel electroencephalographic wearable behind the ears
Data-driven Derivation and Validation of Novel Phenotypes for Acute Kidney Transplant Rejection using Semi-supervised Clustering
The power of ECG in multimodal patient‐specific seizure monitoring: Added value to an EEG‐based detector using limited channels
Structure-switching aptamer sensors for the specific detection of piperaquine and mefloquine
Electrocardiogram Quality Assessment Using Unsupervised Deep Learning