2023 6th International Conference on Digital Medicine and Image Processing (DMIP 2023)

DMIP 2023


Engineering & Computer Science (General)



2023 6th International Conference on Digital Medicine and Image Processing (DMIP 2023) will be held in Ritsumeikan University, Kyoto, Japan during November 9-12, 2023. DMIP 2023 is supported by Ritsumeikan University, and technically supported by National Taipei University of Technology, University of Tsukuba, Shanghai Key Laboratory of Multidimensional Information Processing and National Dong Hwa University.



Now, DMIP 2023 is recruiting the invited speaker. If you are interested in it, please send the detailed CV to dmip@cbees.net for further application.



Conference Website: http://www.dmip.org/



Paper Publishing



1. ACM International Conference Proceedings (ISBN: 979-8-4007-0942-5), which will be archived in ACM Digital Library, indexed by Ei Compendex and Scopus, and submitted to be reviewed by CPCI.

2. Journal of Image and Graphics (JOIG, ISSN: 2301-3699), which will be included in Scopus, Ulrich's Periodicals Directory, Google Scholar, Crossref, IndexCopernicus, etc.



Publishing History

DMIP 2022 | ACM Conference Proceedings (ISBN: 978-1-4503-9765-0) | indexed by Ei Compendex and Scopus

DMIP 2021 | ACM Conference Proceedings (ISBN: 978-1-4503-8648-7) | indexed by Ei Compendex and Scopus

DMIP 2020 | ACM Conference Proceedings (ISBN: 978-1-4503-8904-4) | indexed by Ei Compendex and Scopus

DMIP 2019 | ACM Conference Proceedings (ISBN: 978-1-4503-7698-3) | indexed by Ei Compendex and Scopus

DMIP 2018 | ACM Conference Proceedings (ISBN: 978-1-4503-6578-9) | indexed by Ei Compendex and Scopus



Topics

Digital medicine, Medical image analysis, MR image reconstruction, CT image reconstruction, radiomics, Molecular imaging, Medical big data, Segmentation and 3D visualization, Digital pathology, Image processing, Image segmentation, Image registration, Image reconstruction, Image matching, Feature extraction, Image detection and recognition, Shape analysis, Machine learning. More information, please visit: http://dmip.org/cfp.html.



Conference Venue: Suzaku Campus, Ritsumeikan University, Kyoto, Japan

Add.: 1 Nishinokyo-Suzaku-cho, Nakagyo-ku, Kyoto 604-8520



Submission and Contact Methods

Submission System: http://www.easychair.org/conferences/?conf=dmip2023

Submission and Contact E-mail: dmip@cbees.net

Listener registration: http://confsys.iconf.org/register/dmip2023

Tel: +852-3500-0799 (Headquarter)/+86-28-86528465 (Branch Office)

Conference Secretary: Ms. Olia Lai