This year, scientists and engineers from all over the world meet to explore the design principles, development and applications of new imaging technologies and computer visualization techniques. The use of machine learning and artificial intelligence to analyze and interpret imaging data is rapidly changing the global economy, experiencing an unparalleled integration of science and technology with artificial intelligence and big data; let us see this event as unique opportunity not only to exchange and disseminate knowledge but also bridge multidisciplinary areas like engineering and science with medical diagnostic and theranostic imaging, robotics, autonomous navigation systems, quantum neuromorphic cognition, Space engineering and Industry 4.0.; AI-enabled diagnosis and personalized treatment of tumors; generating new knowledge while establishing global collaborative multidisciplinary opportunities, by tightening collaborations among industry, academia, and healthcare industry.
Call for Papers
A call for papers invites researchers to submit their work to IEEE IST 2025 for presentation or publication, outlining topics, and deadlines
Important Dates
Topics
- Imaging sensors, phenomenology, representation, modeling, and registration
- Detection, recognition, and classification
- Image understanding and scene analysis for intelligent systems
- Big data and deep learning » Medical diagnostic and therapeutical imaging modalities, tomography
- Computational imaging, image-based modeling, analysis, and processing » Bioinformatics, AI-enabled diagnosis and personalized treatment of tumors
- Medical measurements, detection and image figureof-merits (FOM)s
- Bioinspired vision, neuromorphic architectures and deep learning
- Novel hardware designs and system architectures
- Quantum computing and artificial intelligence
- Synthesis, rendering, and visualization
- 3D vision: modeling, representation, perception, processing, and recognition; predictive 3D vision
- Electromagnetic modalities and tomography
- Non-classical sensing, sensor fusion
- Tracking and scene analysis for intelligent vehicles
- Motion estimation, registration, and fusion
- Multi-spectral, polarimetric and hyper-spectral Imaging, algorithms and applications
- 3D reconstruction technology employing deep neural-based rendering techniques
- Emerging Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) techniques
- Defense and Space imaging systems
- Active and passive vision and real-time techniques
- Segmentation for object location and obstacle avoidance for intelligent robots
- Robot control, mobile robotics, mobile sensor networks, mobile mapping
- Intelligent mobile robot methods, learning strategies, and advancements
- Autonomous multi-vehicle collaboration (including UAVs)
- Machine vision for process control/diagnosis, trend analysis, or preventative maintenance
- Machine vision applications for industrial research
Manuscript Instructions
Manuscripts must be prepared in 4 to 6 pages in IEEE 8.5 x 11 format. The IST Proceedings are indexed in the WEB of Science and Scopus and will be submitted to IEEE Xplore for publication. Submitted papers may not have been previously published in or under consideration for publication in another journal or conference. Manuscripts should be submitted as PDF files via EDAS.
High-quality, technically extended papers will be considered, following a peer review process, for possible publication in a Special Issue of IEEE Open Journal of Instrumentation and Measurement (IEEE OJIM) as well in other prestigious peer-reviewed journals.