Abstract: Annotated large-scale datasets are crucial for pathology image analysis, yet creating such datasets is challenging. Self-supervised learning (SSL) offers a potential solution to reduce the ...

Abstract: Wi-Fi technology has evolved from simple communication routers to sensing devices. Wi-Fi sensing leverages conventional Wi-Fi transmissions to extract and analyze channel state information ...

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.

School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, School of ...

Most time series anomaly detection models aim to learn normal behavior from unlabelled data, identifying anomalies as deviations from this behavior. However, the lack of labelled data makes it ...

The best self-help books don’t promise to “completely change your life” overnight. Instead, a truly great one—written by someone who knows their stuff—will gently nudge you towards small shifts that ...

This repository contains the official implementation (in PyTorch) of the the paper SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model. SSAMBA is an advanced audio ...