2025 10th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2025) will be held in Xiamen, China during October 17-19, 2025. The aim of ICBSP 2025 is to present the latest research and results of scientists related to Biomedical Imaging, Signal Processing topics. This conference provides opportunities for delegates to exchange new ideas and application experiences face to face, to establish business or research relations as well as to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific fields. (CFP download)
Topics of interest for submission include, but are not limited to:
Medical Image Processing and Analysis
• Image denoising and enhancement techniques
• Feature extraction methods for medical images
• Image registration and fusion techniques
• Medical image reconstruction algorithms
• Image-based modeling and simulation in medicine
Biomedical Signal Processing and Interpretation
• Signal filtering and denoising techniques
• Feature extraction and selection from biomedical signals
• Time-frequency analysis of physiological signals
• Biomedical signal classification and pattern recognition
• Analysis of brain signals and neuroimaging data
• Wearable and implantable biomedical sensors
Computer-Aided Diagnosis and Treatment
• Computer-aided detection and diagnosis of diseases
• Decision support systems for medical professionals
• Imaging-based guidance for minimally invasive interventions
• Computer-aided surgical planning and navigation
• Personalized medicine and treatment response prediction
• Telemedicine and remote healthcare monitoring
Medical Image Reconstruction and Restoration
• Compressed sensing and sparse reconstruction in medical imaging
• Low-dose and radiation dose reduction techniques
• Artifact correction and image restoration methods
• Multi-modal and multi-sensor image fusion
• Super-resolution techniques in medical imaging
• Quantitative image reconstruction and analysis
Medical Image Segmentation and Registration
• Image segmentation algorithms for organs and tissues
• Shape analysis and deformable models in medical imaging
• Multi-atlas and atlas-based segmentation techniques
• Longitudinal image registration and tracking
• Elastic and non-rigid image registration methods
• Deep learning-based segmentation and registration