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Paper Submission

Full-Paper Submission Track

​​​Potential submissions will cover the full scope of medical image analysis applied to women’s reproductive health, from early detection and diagnosis, to computer-aided diagnosis, to handling data, labels, annotations and segmentations, evaluation methods, clinical validity like performance metrics, multimodal approaches, for example fusing ultrasound + MRI or other sensors + MRI, AI-based interventions for laparoscopic surgery (endometriosis, cysts, fibroids), uterine artery embolization prediction (for fibroids) and post-surgery analysis methods, applied for example to histopathological uterine or ovarian tissue.

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Keywords - Reproductive Health, Women’s Health, Imaging, Endometriosis, Adenomyosis, Cervical Cancer, Uterine Myomas/Fibroids, Pelvic Inflammatory Diseases, PCOs/PCODs

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Deadline 
  • 9th of July 2025, 12 PM CEST: Full Paper Submission Deadline 

  • July 26th, 9 PM CEST: Reviews due

  • July 2025: Notification of Paper Acceptance

  • ​End of July 2025: Camera-ready Paper due

  • September 2025: CAPI 2025.

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Anonymity Guidelines

The anonymity guidelines require to remove the author and affiliation information from the title page and the paper's header. The authors have to make references to their work anonymously, by citing it in the third person. If the anonymity requirements are not fulfilled, automatic paper rejection is performed.

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Submission Instructions

Papers will be limited to ten pages of Springer LNCS format . All papers will be reviewed by at least two reviewers with a double blind policy. The review period will begin after submission and decisions will be notified by mid-July 2025. 

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Papers will be selected based on relevance, significance and novelty of results, technical merit, and clarity of presentation. Papers accepted for CAPI will be published within the MICCAI workshop proceedings in a LNCS volume. Submissions should be 10 pages or less, including references, in the final LNCS paper template

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The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

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