The 2023 Annual Meeting of SSBE is a one-day event for exchange between experts from academia, industry, and clinics. The morning sessions will focus on medical imaging and image analysis and include a keynote presentation. Topics of general interest to the SSBE community will be selected from the submitted abstracts for oral presentation after lunch. During lunch time and coffee breaks we will meet for the poster sessions, where latest results can be discussed. Best posters will be awarded. Scientific discussions will informally be continued in Allschwil’s brewery with fresh lemonade and beer together with pretzels and pizza.
Submission SSBE Awards | July 15th, 2023 (extended) |
Deadline Abstract submission | July 15th, 2023 (extended) |
Deadline revised Abstract submission | August 28th, 2023 |
Registration deadline | September 8th, 2023 |
The Annual Meeting will feature a special session where short-listed candidates for the SSBE Student Award and SSBE Research Award will present their work. See here for details about submissions to the Awards (Deadline: July 15th, 2023 (extended))
For writing the abstract use the provided Word template and follow its instructions. Submit your abstract by July 15th (extended), 2023 by uploading it to https://www.dropbox.com/request/6cOKftho4fDSUvAfl6QL.
Philipp Schneider, Bioengineering Science Research Group, University of Southampton, Southampton, UK; High-Performance Vision Systems, AIT Austrian Institute of Technology, Vienna, Austria. Quantitative three-dimensional X-ray imaging
Judith Müller, Executive Director, Head of AI and Genomics at Merck & Co, USA. Boosting real-world data for clincial development employing artificial intelligence and machine learning
The SSBE 2023 program can be downloaded here (version Sep 12, 12:30pm).
The SSBE 2023 abstract booklet can be downloaded here (version v3).
Please register via our online registration portal. The conference fee is 70 CHF and includes drinks & food as well as SSBE membership subscription or renewal for 2024 if applicable. Registration will close on September 8th, 2023 or when the maximum of 99 participants has been reached.
By public transport: Arrive at Basel SBB train station. Then catch the bus No.48 (direction Bachgraben). Hop off at Allschwil Kreuzstrasse and walk 2 min. to the Department of Biomedical Engineering, University of Basel, Hegenheimermattweg 167B, second floor, study area.
By car: Online route planer
The conference will take place in the study area located in the second floor of Hegenheimermattweg 167B, 4123 Allschwil.
See also our How to find us.