Symposium on Artificial Intelligence in Medical Imaging SAIMI

Chapel Bridge and Water Tower in Lucerne blended with brain MRI slices

About SAIMI

Overview

Advances in the accuracy and reliability of artificial intelligence (AI) have substantially accelerated its adoption in healthcare. One particularly promising application area is the AI-assisted analysis of MRI, CT, X-ray, and other medical imaging modalities, which, under suitable conditions, can lead to significant savings in time and resources. At the same time, challenges related to transparency, interpretability and model reliability remain critical barriers to widespread clinical deployment. Furthermore, heterogeneity in image acquisition strategies and modalities across institutions and hospitals complicates both standardized evaluation and practical implementation.

This symposium aims to bring together research groups across Switzerland working on AI for medical imaging to present recent advances, exchange new ideas and discuss both institution-specific and overarching challenges, as well as potential future solutions. Early-career researchers and students are encouraged to present their work through oral presentations or poster sessions and to engage with peers from across the Swiss research community.

The program will be complemented by keynote talks from experienced researchers and representatives from industry and clinical practice, who will provide perspectives on the current state of the field and emerging future directions.

Format

This symposium will be held as an in-person event in Lucerne.

Important Dates

06.07.2027: Event day

Call for Abstracts

Scope

The goal of SAIMI is to provide the opportunity to meet and discuss research ideas with the local MICCAI/MIDL community around Switzerland. To this end, we invite short abstract submissions on the topics related to AI for medical image analysis. Topics of interests include (but are not limited to):

  • Advancements to predictive models for medical imaging (e.g. segmentation, classification etc.)
  • Multi-modal models
  • Trustworthy AI and fairness
  • Generalizable AI in medical imaging
  • AI model monitoring
  • Image synthesis and generative modelling
  • Clinical translation

This symposium is non-archival, and we welcome submissions of preliminary results (work in progress), as well as work under submission or recently published work. Submissions will be reviewed in a double-blind manner. The aim of the review process is to determine (1) fit within the SAIMI scope, (2) quality of the abstract, (3) guide poster and spotlight talks selection.

Submission Format

We invite you to submit a 1-page abstract describing your work, following this structure: 1) Objective of the study, 2) Motivation & background, 3) Short description of methods, 4) Summary of main results, 5) Conclusion.

Please submit your abstract as a .pdf file, in Arial or Times New Roman, minimum 10pt font size. Figures or tables are allowed. Author names, affiliations and acknowledgements, as well as any obvious phrasings or clues that can identify authors must be removed to ensure anonymity.

Note that the 1 page limit refers only to the main content. Including references and acknowledgements the submission may exceed 1 page.

How to submit?

The submission link will be published here. The submission deadline is to be announced.

Presentation

All accepted abstracts will be presented as a poster during the symposium day. Additionally, we will select a number of papers for oral presentation based on the reviewers' suggestions.

Program

Date and Location

06.07.2027
University of Lucerne, Main Building
Frohburgstrasse 3, 6002 Lucerne

Attend

Registration

Registration is not open yet. Details will be announced here.

Prices

Attending the event is free of charge. However, registration is mandatory.

Steering Committee

Christian F. Baumgartner

Christian F. Baumgartner

University of Lucerne, Switzerland

Meritxell Bach Cuadra

Meritxell Bach Cuadra

CIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)

Ece Özkan Elsen

Ece Özkan Elsen

University of Basel, Switzerland

Lisa M. Koch

Lisa M. Koch

University of Bern, Switzerland

Ender Konukoglu

Ender Konukoglu

ETH Zürich, Switzerland

Henning Müller

Henning Müller

HES-SO Valais, Switzerland

Mauricio Reyes

Mauricio Reyes

University of Bern, Switzerland

Contact

Are you interested in sponsoring our event? Any questions? Please feel free to reach out!

Contact details for SAIMI 2027 will be published here shortly. In the meantime see saimi.ch.

Endorsed by

MICCAI