11th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2026)

The 11th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2026) focuses on advancements in biomedical imaging and signal processing, emphasizing techniques for image reconstruction, signal analysis, and computer-aided diagnosis to enhance medical research and healthcare applications.

Key Topics

• Biomedical Signal Processing and Interpretation
  • Feature extraction and selection from biomedical signals
  • Signal filtering and denoising techniques
  • Biomedical signal classification and pattern recognition
  • Time-frequency analysis of physiological signals
  • Wearable and implantable biomedical sensors
  • Analysis of brain signals and neuroimaging data
• Medical Image Processing and Analysis
  • Feature extraction methods for medical images
  • Image denoising and enhancement techniques
  • Medical image reconstruction algorithms
  • Image registration and fusion techniques
  • Image-based modeling and simulation in medicine
• Medical Image Reconstruction and Restoration
  • Low-dose and radiation dose reduction techniques
  • Compressed sensing and sparse reconstruction in medical imaging
  • Multi-modal and multi-sensor image fusion
  • Artifact correction and image restoration methods
  • Quantitative image reconstruction and analysis
  • Super-resolution techniques in medical imaging
• Computer-Aided Diagnosis and Treatment
  • Decision support systems for medical professionals
  • Computer-aided detection and diagnosis of diseases
  • Computer-aided surgical planning and navigation
  • Imaging-based guidance for minimally invasive interventions
  • Telemedicine and remote healthcare monitoring
  • Personalized medicine and treatment response prediction
• Medical Image Segmentation and Registration
  • Shape analysis and deformable models in medical imaging
  • Image segmentation algorithms for organs and tissues
  • Longitudinal image registration and tracking
  • Multi-atlas and atlas-based segmentation techniques
  • Deep learning-based segmentation and registration
  • Elastic and non-rigid image registration methods