(Include but not limited to)
Track 1: Computational Neuroscience
Theories and methods of computational neuroscience
Computational modeling and dynamic analysis of brain networks
Computational modeling and simulation of cognitive functions
Techniques for fusing multimodal neuroimaging data
Methods for constructing high-resolution brain maps
Artificial intelligence analysis algorithms for neuroimaging
Brain connectomics and research on mental disorders
Neurocomputing and neuromorphic chips
Comparative studies on cross-species neural computing
Research on neural encoding and decoding mechanisms
Detection and early diagnosis of neurological diseases
Biostatistics and stochastic models
Computational evolutionary biology and systems biology
Modeling for personalized medicine and precision medicine
Neurofeedback training and cognitive enhancement
Track 2: Biomedical Image Processing and Signal Analysis
Biomedical image processing and analysis (CT, MRI, PET, ultrasound, etc.)
Application of deep learning in brain image segmentation and classification
Medical image registration, reconstruction and enhancement
Optical imaging and diagnostic techniques
Biomedical signal processing (EEG, ECG, EMG, fMRI, etc.)
Multimodal medical image fusion and cross-modal synthesis
Medical image visualization and three-dimensional reconstruction
Digital pathology and digital health technologies
Biomedical data mining and pattern recognition
Computer-aided diagnosis (CAD) in medical images
Biomedical instrument and sensor technologies
Wearable devices and biological signal processing
Remote medical care and mobile health monitoring technologies
Biomedical optics and photonics imaging
Medical image quality assessment and artifact elimination ......