Call of Papers
The goal of this workshop is to provide an overview of the potential applications of AI in combating this pandemic using medical imaging methods. Contributions are invited on (but not limited to) the following topics:
Covid-19 Diagnosis from X-rays images.
Covid-19 Severity prediction from X-ray images.
Covid-19 Infection segmentation.
Covid-19 Diagnosis from CT-scans.
Covid-19 Severity prediction from CT-scans.
Covid-19 Diagnosis using Multi-modal Imaging Data.
Using of other medical Imaging (neither X-ray nor CT-scans) for Covid-19 Detection, i.g: Ultrasound.
Novel Data sets and Performance Comparison.
Accepted Papers will be published by Springer LNCS post-proceedings
IMPORTANT DATES:
- Paper Submission Deadline: March 15, 2022
- Revision Deadline: March 30, 2022
- Notification of acceptance: April 07, 2022
- Camera ready: April 21, 2022
Guidelines And Technical Instructions:
In preparing their contributions, authors must follow Springer's guidelines and technical instructions, which can be found at the following address:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
After paper has been accepted, you should follow ICIAP2021 registration instructions described at the following link:
PUBLICATIONS:
The maximum number of pages is 10 pages + 2 pages for references. Submissions will be selected through a peer review process. Each submission will be reviewed by at least two reviewers, considering originality, significance, clarity, soundness, relevance, and technical content. Authors may optionally submit additional material. Accepted papers will be published in the ICIAP 2021 Conference Proceedings, published by Springer in the Lecture Notes in Computer Science series (LNCS).