About

Medical imaging and radiology are facing major challenges, driven by the growing complexity and volume of data, alongside immense economic pressures. Advances and widespread use of imaging technologies have now overloaded/exceeded the human capacity to interpret medical images, raising the risk of missing critical patterns of diseases. Machine learning has emerged as a key technology for developing novel tools in computer-aided diagnosis, therapy, and intervention. Compared to other fields of visual recognition,  progress has remained slow largely due to the complexity and constraints in the medical domain, i.e., robustness, high accuracy, and reliability in clinical practice. 

“Medical Imaging meets EurIPS (MedEurIPS)”  aims to bring together researchers from the medical imaging and ML communities to discuss key challenges, research opportunities, and novel applications. Continuing on the success of the  2017 - 2023 MedNeurIPS workshops, this year’s edition/workshop will feature invited speakers from academia, medical sciences, and industry, providing insights into recent technological advances and remaining significant hurdles.

Schedule: 

08:30 – 08:45  Opening Remarks - Nina Weng

08:45 – 09:30  Dr. Veronika Cheplygina
                          Title: Curious Findings About Medical Image Datasets

09:30 – 10:00  Poster Pitch Session (18 papers - 1.5 mins each) 

10:00 – 11:00  Poster Session 1

11:00 – 11:45  Dr. Daniel Coelho de Castro - Session Chair: Eitan Waks
  Title: From Medical Image Interpretation to Scientific Discovery

11:45 – 12:30  Dr. Christian F. Baumgartner
  Title: Making AI Make Sense: Concept-Based Pathology Diagnosis and Uncertainty-Aware MRI

12:30 – 13:30  Lunch/break

13:30 – 15:00  Long Oral Session  (7 papers - 10 mins + 2 mins QA) - Session Chair: Nina Weng 

15:00 – 16:00  Poster Session 2

16:00 – 16:50  Panel Discussion

16:55 – 17:00  Closing Remark

Dates

• Abstract Submission Deadline: 10. October 2025  15. October 2025 (AoE)

• Notifications: 31. October 2025   7. November 2025

• Workshop Date: 7. December 2025