4 papers
LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
Yihe Wang, Nan Huang, Nadia Mammone +2
Electroencephalography (EEG) provides a non-invasive, highly accessible, and cost-effective approach for detecting Alzheimer's disease (AD). However, existing methods, whether base…
Audio Frequency-Time Dual Domain Evaluation on Depression Diagnosis
Yu Luo, Nan Huang, Sophie Yu +5
Depression, as a typical mental disorder, has become a prevalent issue significantly impacting public health. However, the prevention and treatment of depression still face multipl…
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Nan Huang, Haishuai Wang, Zihuai He +2
Medical time series (MedTS) classification suffers from poor generalizability in real-world deployment due to inter- and intra-dataset heterogeneity, such as varying numbers of cha…
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li +2
Medical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases…