Conference Information
MICCAI 2024: International Conference on Medical Image Computing and Computer Assisted Intervention
https://conferences.miccai.org/2024/en/
Submission Date:
2024-02-22
Notification Date:
Conference Date:
2024-10-06
Location:
Marrakesh, Morocco
Years:
27
CCF: b   CORE: a   QUALIS: a1   Viewed: 26866   Tracked: 30   Attend: 3

Call For Papers
For the very first time, the MICCAI conference will set its stage on the African continent. This will mark a significant moment for global collaboration and scientific diversity in medical image computing and computer-assisted interventions.

In addition to exploring the latest advancements in the field, MICCAI 2024 will continue to feature the “Clinical Translation” sessions successfully introduced last year. Furthermore, we will introduce a “MICCAI for Health Equity” session, which will spotlight approaches that enhance access to healthcare for all populations worldwide, especially in limited-resource settings and for under-served populations.

We welcome engineers, scientists, health practitioners, early-career researchers, and industry leaders from every corner of the globe to be a part of a new chapter in the MICCAI legacy. Join us in Marrakesh, the vibrant heart of Morocco, a city steeped in rich history and culture, and experience the unique blend of tradition and modernity as you participate in this unparalleled scientific gathering.

Topics of interest for MICCAI 2024 include, but are not limited to:

● New methods in medical image computing
● New methods in computer-assisted interventions
● Imaging-related clinical studies
● Clinical implementation and monitoring of imaging solutions
● Integration of imaging and non-imaging data
● Population imaging informatics
● Image formation and reconstruction
● Image-based personalised medicine
● Surgical data science
● Image-guided robotic surgery
● Foundation models in medical imaging
● Generalisable machine learning in medical imaging
● Algorithmic fairness in medical imaging
● Human-centred AI in medical imaging
● Federated learning in medical imaging
● Trustworthy AI in medical imaging
● Accessible medical imaging solutions
● Point-of-care imaging solutions
● Image synthesis and augmentation for diverse populations
● Teleradiology applications
● Biomedical image computing for neglected diseases
● Imaging solutions for vulnerable and under-represented populations
Last updated by Dou Sun in 2024-01-20
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