Multidisciplinary Session - Jointly organised with the Medical Image Computing and Computer Assisted Intervention Society (MICCAI)

MS 7 - Convergence of advanced imaging, AI, and treatments

  • ECR 2025
  • 5 Lectures
  • 90 Minutes
  • 5 Speakers

Lectures

1
Chairpersons' introduction

Chairpersons' introduction

05:00Merel Huisman, Nijmegen / NL, Georg Langs, Vienna / AT

2
How and for whom will medical image analysis change in the next five years

How and for whom will medical image analysis change in the next five years

20:00Julia A. Schnabel, Neuherberg / DE

3
AI-driven spectral imaging for surgery and biomedical innovation

AI-driven spectral imaging for surgery and biomedical innovation

20:00Leonardo Ayala Menjivar, Heidelberg / DE

4
How do data driven approaches change radiology

How do data driven approaches change radiology

20:00Daniel Pinto Dos Santos, Frankfurt / DE

5
Panel discussion: Are scientific advancements in imaging, AI, and treatment development converging?

Panel discussion: Are scientific advancements in imaging, AI, and treatment development converging?

25:00Panel discussion: Are scientific advancements in imaging, AI, and treatment development converging?

Description

5 min
Chairpersons' introduction
Georg Langs, Vienna / Austria
Merel Huisman, Nijmegen / Netherlands
20 min
How and for whom will medical image analysis change in the next five years
Julia A. Schnabel, Neuherberg / Germany
  1. To learn about the next big leaps we can expect from machine learning in the area of medical image analysis.
  2. To appreciate how the research community in this area is expanding towards LMI countries, and the corresponding impact on scientific advancements and their relevance.
  3. To understand how these advancements will become relevant drivers of a changing role of imaging in precision medicine.
20 min
AI-driven spectral imaging for surgery and biomedical innovation
Leonardo Ayala Menjivar, Heidelberg / Germany
  1. To understand the role of AI in perioperative spectral imaging.
  2. To examine how AI techniques can be used for domain bias mitigation in spectral imaging.
  3. To evaluate AI-based methods for functional imaging in a medical context.
20 min
How do data driven approaches change radiology
Daniel Pinto Dos Santos, Frankfurt / Germany
  1. To appreciate how the translation from scientific advancements to clinical implementation needs changes in workflows.
  2. To understand how machine learning is having an impact in clinical practice.
25 min
Panel discussion: Are scientific advancements in imaging, AI, and treatment development converging?

This session offers AI-generated subtitles.

Moderators

  • Georg Langs

    Vienna / Austria
  • Merel Huisman

    Nijmegen / Netherlands

Speakers

  • Georg Langs

    Vienna / Austria
  • Merel Huisman

    Nijmegen / Netherlands
  • Julia A. Schnabel

    Neuherberg / Germany
  • Leonardo Ayala Menjivar

    Heidelberg / Germany
  • Daniel Pinto Dos Santos

    Frankfurt / Germany