3 papers
cs.LG2026
NanoSleep: A Parameter-Efficient Hybrid Temporal Convolutional Network for Single-Channel Sleep Stage Classification
S M Asif Hossain, Shruti Kshirsagar
Sleep stage classification from single-channel electroencephalography (EEG) is essential for wearable and home-based sleep monitoring. However, many deep learning models achieve hi…
cs.CV2026
InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction
S M Asif Hossain, Shruti Kshirsagar
Gliomas are aggressive brain tumors that infiltrate surrounding tissue beyond the visible tumor margins observed on Magnetic Resonance Imaging (MRI). Predicting the spatial extent…
cs.LG2026
Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography
S M Asif Hossain, Shruti Kshirsagar
Automated sleep stage classification typically employs a single population-agnostic model, disregarding established demographic variations in sleep architecture. Sleep patterns, ho…