brain disease detection 1cross-subject eeg classification 1inter-subject variability 1motor imagery 1shortcut learning 1
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eess.SP2025
ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection
Yihe Wang, Nadia Mammone, Darina Petrovsky +3
Electroencephalography (EEG) has emerged as a cost-effective and efficient tool to support neurologists in the detection of Alzheimer's Disease (AD). However, most existing approac…
eess.SP2024
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…