Symposium on Artificial Intelligence in Medical Imaging SAIMI
Organised by researchers from multiple Swiss universities.
18.06.2026 in Bern

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 Bern.
Important Dates
27.02.2026: Opening registration
19.03.2026: Opening abstract submission
30.04.2026: Abstract submission deadline
14.05.2026: Final decisions
18.06.2026: 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 (publication date 2025 or 2026).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 Time 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?
We will be using CMT for abstract submission, the submission portal will open on the 19.03.2026 and close on 30.04.2026. The link to the submission portal will be posted here once the system is open for submission. 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.
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
18.06.2026 in Bern
Schedule (preliminary)
- 09:00–09:15 Registration
- 09:15–09:30 Welcome words and DDM introduction
- 09:30–10:15 Keynote 1
- 10:15-11:00 6 x 5mins lightning talks
- 11:00-11:15 Coffee + poster setup
- 11:15-12:00 Poster session 1
- 12:00-13:00 Lunch
- 13:00-14:30 Keynote 2 & 3
- 14:30-15:00 6 x 5mins lightning talks
- 15:00-15:15 Coffee + poster setup
- 15:15-16:00 Poster session 2
- 16:00-16:45 Sponsor presentation
- 16:45-17:00 Closing words and goodbye + awards
Keynotes

Ender Konukoglu
Ender Konukoglu grew up in Istanbul, Turkey, where he did his undergraduate and master of science degrees in Bogazici University. After finishing his PhD with Nicholas Ayache at INRIA Sophia Antipolis, he moved to Microsoft Research Cambridge for a post-doc position. After a pit stop at the Martinos Center for Biomedical Imaging in Boston, he came to ETH Zurich in 2016 as an assistant professor. Since 2022, he has been an associate professor at ETH Zurich in the department of Information Technology and Electrical Engineering.
Speaker 2
To be announced soon
Speaker 3
To be announced soon
Attend
Registration
Please click here to register.
Prices
Attending the event is free of charge. However, registration is mandatory.
Organising Comittee

Tim Flühmann
University of Bern, Switzerland

Amith J. Kamath
University of Bern, Switzerland

Mélanie Roschewitz
ETH Zürich, Switzerland

Anna M. Wundram
University of Lucerne, Switzerland

Samin Beheshti Zavareh
Student at University of Bern, Switzerland
Steering Comittee

Christian F. Baumgartner
University of Lucerne, Switzerland

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

Ece Özkan Elsen
University of Basel, Switzerland

Lisa M. Koch
University of Bern, Switzerland

Ender Konukoglu
ETH Zürich, Switzerland

Henning Müller
HES-SO Valais, Switzerland

Mauricio Reyes
University of Bern, Switzerland
Contact
Are you interested in sponsoring our event? Any questions? Please feel free to reach out!
anna.wundram@unilu.ch