posted by organizer: zhangyudong || 4086 views || tracked by 6 users: [display]

ROMAN_CVML 2018 : IEEE ROMAN Computer Vision and machine learning

FacebookTwitterLinkedInGoogle

Link: http://ro-man2018.org/special-session-6-computer-vision-and-machine-learning-foundations-and-applications-in-advanced-bio-medical-applications/
 
When Aug 27, 2018 - Aug 29, 2018
Where Nanjing
Abstract Registration Due Jun 1, 2018
Submission Deadline Jun 15, 2018
Notification Due Jul 1, 2018
Final Version Due Jul 15, 2018
Categories    computer vision   machine learning   biomedical imaging
 

Call For Papers

http://ro-man2018.org/special-session-6-computer-vision-and-machine-learning-foundations-and-applications-in-advanced-bio-medical-applications/

(The code for the submission: 4a64a)

This workshop supported by IEEE will be held in Nanjing and Tai'an, China

The special session addresses methodological issues concerning image processing and computer vision in general and bio-medical area in particular. Feature extraction, deep learning and processing big data are generic enough these days and contributions in this session may help understanding and getting foundational works that can benefit beyond bio-medical domain. Indeed, with advancement in bio-medical 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 based in the computer vision for efficient data processing, analysis and modelling in clinical applications and in understanding the underlying biological process.

The purpose of this workshop is to provide a diverse, but complementary, set of contributions to demonstrate new developments and applications of advanced imaging analysis in the multimodel 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.

Organisers: Shui-Hua Wang (UK), Liangxiu Han (UK), Zhengchao Dong (USA)
Contact: Shui-Hua Wang (shuihuawang@ieee.org)

Related Resources

MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
ICPR 2020   International Conference on Pattern Recognition 2020
IEEE CiSt 2020   6th IEEE Congress on Information Science and Technology
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
CCVPR 2020   2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)
ICDM 2020   20th IEEE International Conference on Data Mining
WSPML 2020   2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)
ECML PKDD 2020   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
EI-CCVPR 2020   2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)
ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence