Decoding the Future of Biomedical Image Analysis: A Foundational Model for Multi-Modal Joint Segmentation, Detection, and Recognition Background In biomedical research, image analysis has become a crucial tool for advancing discoveries, enabling multi-scale studies ranging from organelles to organs. However, traditional biomedical image analysis of...

ONIX: An Open-Source Platform for Multimodal Neural Recording and Perturbation During Naturalistic Behavior Research Background and Significance In recent years, significant advances have been made in large-scale neural population recording technology and studies on animal behavior in the field of neuroscience. However, these two demands often conf...

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification Research Report In recent years, multimodal person re-identification (ReID) has gained increasing attention in the field of computer vision. Person ReID aims to identify specific individuals across different camera views, serving as a critical technology in security ...

Epilepsy is one of the most common neurological disorders, with temporal lobe epilepsy (TLE) being the most prevalent form of drug-resistant epilepsy in adults. Numerous studies have indicated that TLE involves not only pathological changes in the medial temporal lobe but also affects widespread brain structures and functions. In this scientific re...