posted by organizer: zhangyudong || 3585 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

SwarmEvo 2024   Special Issue: Peak and Bad-Case Performance of Swarm and Evolutionary Optimization Algorithms
ICDM 2024   IEEE International Conference on Data Mining
CSCT 2024   Congress on Smart Computing Technologies
AIM@EPIA 2024   Artificial Intelligence in Medicine
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
ICCTech 2025   IEEE--2025 the 4th International Conference on Computer Technologies (ICCTech 2025)
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ICSCA 2025   ACM--2025 14th International Conference on Software and Computer Applications (ICSCA 2025)
ICMLSC--EI 2025   2025 The 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025)
SOFTFM 2024   3rd International Conference on Software Engineering Advances and Formal Methods