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BIOIMAGING 2026 : 13th International Conference on Bioimaging

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Link: https://bioimaging.scitevents.org
 
When Mar 2, 2026 - Mar 4, 2026
Where Marbella, Spain
Submission Deadline Dec 16, 2025
Notification Due Dec 4, 2025
Final Version Due Dec 19, 2025
Categories    image processing   computer vision   biomedical engineering   medical imaging
 

Call For Papers

CALL FOR PAPERS

13th International Conference on Bioimaging (BIOIMAGING)
Submission Deadline: October 02, 2025


In Cooperation with:
ACM Special Interest Group on Artificial Intelligence
Association for the Advancement of Artificial Intelligence
European Alliance for Medical and Biological Engineering and Science
Finnish Society for Medical Physics and Medical Engineering
Swiss Society for Biomedical Engineering
International Society for Computational Biology

Proceedings will be submitted for evaluation for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Engineering Index
Web of Science / Conference Proceedings Citation Index

The event will be of hybrid nature, in the sense that online presentations of accepted papers will be possible for those authors that are unable to travel to the venue.

https://bioimaging.scitevents.org
March 02 - 04, 2026
Marbella, Spain
---------
Scope:
Bioimaging is a term that covers the complex chain of acquiring, processing and visualizing structural or functional images of living objects or systems, including extraction and processing of image-related information. Examples of image modalities used in bioimaging are many, including: X-ray, CT, MRI and fMRI, PET and HRRT PET, SPECT, MEG and so on. Medical imaging and microscope/fluorescence image processing are important parts of bioimaging referring to the techniques and processes used to create images of the human body, anatomical areas, tissues, and so on, down to the molecular level, for clinical purposes, seeking to reveal, diagnose, or examine diseases, or medical science, including the study of normal anatomy and physiology. Both classic image processing methods (e.g. denoising, segmentation, deconvolution and registration methods, feature recognition and classification) and modern machine, in particular deep, learning techniques represent an indispensable part of bioimaging, as well as related data analysis and statistical tools.







Conference Chair(s)
Hugo Gamboa, Nova University of Lisbon, Portugal

Program Chair(s)
Sebastian Fudickar, University of Luebeck, Germany

Program Committee
https://bioimaging.scitevents.org/ProgramCommittee.aspx

BIOIMAGING Secretariat
bioimaging.secretariat@insticc.org

Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel:+351 265 520 185
Web: https://bioimaging.scitevents.org

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