ICMIPA 2025: International Conference on Medical Information Processing and Analysis

The ICMIPA 2025: International Conference on Medical Information Processing and Analysis addresses innovative methods and technologies for processing, analyzing, and interpreting medical data, images, and signals to enhance diagnostics and healthcare delivery.

Topics

• Object detection and localization
• Signal/image analysis and interpretation
• Digital pathology and virtual microscopy
• Telemedicine and e-health applications
• Color and texture analyses
• Medical signal acquisition and processing
• Real-time systems in healthcare
• Image enhancement and restoration
• Quantitative analysis and interpretation
• Registration of multimodal medical data
• Pattern recognition and perception
• Sparse representation and compressive sensing
• Segmentation and grouping
• Healthcare information systems
• Machine learning for vision and biomedical applications
• Statistical and computational models
• Fuzzy systems and nonlinear signal modeling
• Biosignals and physiological process modeling
• Computer-aided detection and diagnosis
• Acquisition of brain and medical images
• Clinical applications and technology integration
• Storage, transmission and access to medical data
• Multiscale and multiresolution representations
• Multimodal information processing and analysis
• Models for detection and discrimination
• Medical devices, monitoring and calibration
• Image-based modeling and 3D reconstruction
• Tracking and visual navigation
• Visualization and user interaction
• Dictionary learning techniques
• Imaging techniques for cancer therapy

Who should Attend

• Medical imaging and diagnostic professionals
• Healthcare system developers and engineers
• Machine learning and AI researchers
• Biomedical engineers and technologists
• Digital pathology specialists
• Signal and image processing scientists
• Telemedicine and e-health practitioners
• Computer vision experts in healthcare
• Academic researchers and students
• Healthcare IT and clinical data analysts