posted by organizer: zhangyudong || 2331 views || tracked by 2 users: [display]

AIR-CMMI 2021 : Artificial Intelligence in Radiomics - Contrast Media & Molecular Imaging 2021


When N/A
Where N/A
Abstract Registration Due Aug 1, 2021
Submission Deadline Aug 27, 2021
Notification Due Oct 15, 2021
Final Version Due Nov 15, 2021
Categories    artificial intelligence   radiomics   deep learning

Call For Papers

Radiomics is a method that extracts many features from radiographic medical images using data characterization algorithms. Recently, the applications of Artificial Intelligence (AI) are of increasing use in radiographic medical images from various sources: computed tomography (CT), photon-counting CT, spectral photon-counting CT, ultrasound contrast agents, magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, thermography, PET, magnetic resonance spectroscopy imaging (MRSI), etc. AI is leading to a significant evolution of automatic diagnosis systems supporting researchers and users. The paradigms of AI allow humans to create machines capable of reasoning, perceiving reality, learning from radiographic medical images, identifying models, grouping data and information.

This Special Issue aims to provide a forum to update and discuss new discoveries, challenges, opportunities, methods, and specific applications regarding the use of AI in radiomics. Both original research and review articles are welcome. Studies should focus on major trends and challenges in this field.

Potential topics include but are not limited to the following:

Contrast media in radiomics
Radiomic image analysis
AI techniques in radiomics: machine (deep) learning, transfer learning, attention neural network, graph neural network
Big-data methods in radiomics
AI techniques in genomics and molecular imaging
Clinical studies via radiomics
Artificial intelligence used in radiomic applications (e.g. brain imaging, breast cancer imaging, cardiography, etc.)
Automatic procedures for medical assessment (segmentation of linear and nonlinear structures, image registration, volume of interest (VOI) selection, quantification and analysis of physiological measures)

Related Resources

CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
CMVIT-Maldives 2025   2025 9th International Conference on Machine Vision and Information Technology (CMVIT 2025)
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
ISCAI 2024   2024 3rd International Symposium on Computing and Artificial Intelligence
AIST 2024   6th International Conference on Artificial Intelligence and Speech Technology (AIST2024)
ICDM 2024   IEEE International Conference on Data Mining