Hertie AI at MICCAI 2024
In October, members of the Medical Imaging group of the Data Science Department traveled to Marocco to attend the 27th edition of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).
As the flagship conference in the field of medical imaging, it offered a wide range of topics from deep learning methods for disease detection and prognosis to their practical application in clinical settings. As MICCAI 2024 was held in Africa for the first time, we had the opportunity to attend the first-ever keynote by an African-based researcher. Moreover, the conference had a special focus on inclusive and fair machine learning for medical imaging, low-cost imaging solutions, and the intricacies of image-guided surgery in resource-limited settings.
We were thrilled to have two papers on interpretability accepted at the main conference [1,2], alongside one paper on preventing models from using unwanted shortcuts for their predictions at the MLMI workshop [3]. Attending MICCAI gave us a valuable overview of the current state of the field, helping us place our own work in context. The variety of talks and discussions provided insights into emerging trends and helped identify potential areas for collaboration.
Beyond the academic highlights, the trip was enriched by our experiences in Morocco. The warm and sunny weather was a welcome change from the cooler climate back home, and we enjoyed Moroccan cuisine, from flavorful tagines to refreshing mint tea. The welcoming and friendly atmosphere added to the experience, making the trip both professionally and personally rewarding.
Overall, the conference provided a valuable opportunity to present our research, gain inspiration for our future research, and to connect with people from our field – all under the Moroccan sun.