Sensor-Enhanced Medical Imaging: Machine Learning and Computer Vision for Multimodal Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 30
Special Issue Editor
Interests: computer vision image analysis and processing; application of artificial intelligence technologies in medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of sensor technologies has revolutionized medical imaging, enabling novel acquisition techniques and instrumentation for enhanced diagnostic precision. This Special Issue highlights cutting-edge research on sensor-enhanced medical imaging, focusing on innovations that integrate novel sensing principles, instrumentation, or acquisition techniques to advance diagnostic and analytical capabilities. Specifically, we invite original research papers that explore novel sensor-based image acquisition techniques, advanced instrumentation for medical imaging, and their integration with computational methods. Within this context, submissions may address advanced image processing algorithms for noisy or incomplete sensor data, ML models optimized for real-time analysis of sensor streams, and AI-driven frameworks leveraging sensor-derived features.
Contributions must emphasize sensor-enhanced methodologies to ensure differentiation from the journal’s broader scope. Topics of interest include, but are not limited to, the following:
- Deep Learning for Medical Image Segmentation from Sensor Data;
- Machine Learning for Disease Diagnosis and Prognosis using Sensor-Derived Features;
- Computer-Aided Detection and Monitoring Systems based on Sensor Streams;
- Image Registration and Fusion of Multi-Modal Sensor Data;
- Three-Dimensional Medical Image Analysis and Visualization from Volumetric Sensor Data;
- Generative Models for Medical Image Synthesis and Enhancement from Limited Sensor Data;
- Quantitative Image Analysis and Biomarker Discovery from Sensor Data;
- AI-driven Image-Guided Interventions and Robotics using Real-time Sensor Feedback.
Dr. Vidas Raudonis
Guest Editor
Manuscript Submission Information
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Keywords
- sensor-enhanced medical imaging
- medical sensors
- sensor fusion
- AI-driven diagnostics
- multimodal image analysis
- real-time sensor analytics
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