(The following topics include but are not limited to)
Track 1: Biomedical Imaging
Medical image acquisition and reconstruction techniques
Three-dimensional and four-dimensional medical image processing
Multimodal imaging fusion (MRI, PET, CT, ultrasound)
Application of deep learning in medical imaging
Artificial intelligence-assisted radiological diagnosis, etc.
Imaging informatics in medical and research applications
Ultrasound imaging
3D imaging, X-ray imaging
Machine vision in medicine
Medical image visualization
Medical imaging and radiation science
Molecular imaging and biology
Neuroimaging, X-ray photography
Real-time imaging, thermal imaging, optical imaging
Photoacoustic imaging, endoscopy
Magnetic Resonance Imaging (MRI)
Functional Magnetic Resonance Imaging
Diffusion Tensor Imaging (DTI)
Track 2: Computational Biology
Genomics
Ecology
Evolutionary Genetics
Cancer Genetics
Computational Genetics
Systems Biology
RNA informatics
Synthetic Biology
Biostatistics and stochastic models
Computational evolutionary biology
Personalized medicine and precision medicine
Computational molecular systems
Databases and data management
Proteomics
Structural Bioinformatics
Algorithms and software tools
Algorithms, models, software and tools in bioinformatics
Track 3: Intelligent Computing
Data science, statistics
Cloud computing
Medical information
Digital pathology, digital health
Big data analysis
Data integration and mining
Biological network modeling
Bioinformatics computing and applications
Detection of neurological and metabolic diseases