posted by organizer: zhangyudong || 4439 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

IJSCMC 2026   International Journal of Soft Computing, Mathematics and Control
Ei/Scopus-AI2A 2026   2026 IEEE 6th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)
AMS 2026   Advanced Medical Sciences: An International Journal
AAIML 2027   IEEE--2027 2nd International Conference on Advances in Artificial Intelligence and Machine Learning
CSEIJ 2026   Computer Science & Engineering: An International Journal
IEEE-MLNLP 2026   2026 IEEE 9th International Conference on Machine Learning and Natural Language Processing (MLNLP 2026)
AACL-IJCNLP 2026   The 5th Asia-Pacific Chapter of the Association for Computational Linguistics & the 15th International Joint Conference on Natural Language Processing
Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)
EACL 2026   19th Conference of the European Chapter of the Association for Computational Linguistics
BIOIMAGING 2027   14th International Conference on Bioimaging