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:
Biomedical Imaging
• Medical Image Acquisition and
Reconstruction Techniques
• 3D and 4D Medical
Image Processing
• Multimodal Imaging Fusion (MRI, PET, CT,
Ultrasound)
• Deep Learning in Medical Imaging
• Image-Guided
Surgery and Interventions
• Functional and Molecular Imaging
•
Biomedical Image Segmentation and Registration
• AI-Assisted
Radiological Diagnostics
Signal Processing in Biomedicine
• Biomedical Signal Acquisition and Instrumentation
• ECG,
EEG, EMG Signal Processing
• Biosignal Filtering and Feature
Extraction
• AI and Machine Learning for Biomedical Signal
Analysis
• Real-time Signal Processing for Wearable Devices
•
Non-invasive Monitoring and Analysis Techniques
•
Brain-Computer Interfaces (BCI) and Neural Signal Processing
•
Biomedical Signal Compression and Encryption
Optics-Enhanced Biomedical Imaging and Signal Processing
•
Optical Coherence Tomography (OCT) and Applications
• Diffuse
Optical Tomography (DOT) for Brain and Tissue Imaging
•
Multispectral and Hyperspectral Imaging in Biomedicine
• Fiber
Optic Sensors for Biomedical Signal Monitoring
• Biophotonics
for Real-Time Physiological Measurement
• Optical Biosensors
and Bio-Signal Transduction
• Super-Resolution and Fluorescence
Microscopy Analysis
• Light-Sheet Microscopy Image
Reconstruction
• Signal Enhancement in Low-Light Optical
Imaging
• Laser-Tissue Interaction and Signal Characterization
•
Photoacoustic Imaging and Signal Analysis
• Optical Signal
Processing in Laser-Assisted Surgery
• Deep Learning for
Optical Image Interpretation
• Machine Learning for Spectral
Signal Classification
• AI-Enhanced Optical Flow in Biomedical
Video Analysis