posted by organizer: zhangyudong || 4416 views || tracked by 3 users: [display]

ACISCMI 2018 : Advanced Computational Intelligence and Soft Computing in Medical Imaging (Journal of Medical Systems, IF: 2.456)

FacebookTwitterLinkedInGoogle

 
When N/A
Where N/A
Abstract Registration Due May 1, 2018
Submission Deadline Jul 1, 2018
Notification Due Aug 1, 2018
Final Version Due Sep 1, 2018
Categories    biomedical image analysis   machine learning   deep learning   computational intelligence
 

Call For Papers

With advancement in biomedical imaging, the amount of data generated by multimodality image techniques (e.g. ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MR), Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, etc.) has grown exponentially and the nature of such data is increasingly become more complex. This poses a great challenge on how to develop
new advanced imaging methods and computational models for efficient data processing, analysis and modelling in clinical applications and in understanding the underlying biological process.

The purpose of this topical collection aims to provide a diverse, but complementary, set of contributions to demonstrate new developments and applications of advanced imaging analysis in the multimodal biomedical imaging area. The ultimate goal is to promote research and development of advanced imaging analysis for multimodal biomedical images by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field.

The topics of interest include, but are not limited to:
 New algorithms, models and applications of advanced imaging methods
 Multimodal imaging techniques: data acquisition, reconstruction; 2D, 3D, 4D imaging, etc.)
 Translational multimodality imaging and biomedical applications (e.g., detection, diagnostic analysis, quantitative measurements, image guidance of ultrasonography)
 Variational and combinatorial optimizations for biomedical imaging and image analysis
 Advanced Biomedical image analysis ( image processing, Statistical and probabilistic methods for biomedical imaging and image analysis, Machine learning in biomedical imaging and image analysis)
 Deep learning methods (convolutional neural network, autoencoder, deep belief network, etc.)
 Visualization

Please make sure to select the “Advanced CI and SC in Medical Imaging” article type during the submission process.
Any queries related to this topical collection should be addressed contact corresponding editor: Dr. Yudong Zhang (yudongzhang@ieee.org)

Related Resources

ISCSIC 2026   2026 10th International Symposium on Computer Science and Intelligent Control (ISCSIC 2026)
Ei/Scopus-AI2A 2026   2026 6th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)
ISCAI 2026   2026 5th International Symposium on Computing and Artificial Intelligence
AAIML 2027   IEEE--2027 2nd International Conference on Advances in Artificial Intelligence and Machine Learning
CLNLP 2026   2026 3rd International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2026)
JCRAI 2026   2026 6th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2026)
IEEE-ICECCS 2026   2025 IEEE International Conference on Electronics, Communications and Computer Science (ICECCS 2026)
ICDM 2026   The 26th IEEE International Conference on Data Mining
FCSIT 2026   2026 5th Eurasian Conference on Frontiers of Secure and Intelligent Computing (FCSIT 2026)
Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)