MICCAI 2023 Satellite Tutorial Events
Tuesday 11th July 2023
Enhance your MICCAI 2023 Experience with Exciting Satellite Tutorial Events!
With great enthusiasm, we extend a warm invitation to join us at the upcoming 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) in captivating Vancouver, Canada!
As organizers of this prestigious event, we are thrilled to introduce a series of Satellite Tutorial Events and provide a deeper dive into the conference themes, enriching your overall experience and offering specialized insights in various areas of medical imaging and artificial intelligence (AI) in healthcare. These tutorials have been thoughtfully organized to enhance your knowledge, foster professional growth, and facilitate meaningful discussions within the MICCAI community.
Let us give you a glimpse of what awaits you in these enlightening tutorial events:
1. Uncover Advanced Techniques in Medical Image Analysis: Join us for tutorials that delve into the fascinating world of advanced techniques for medical image analysis. Immerse yourself in the exploration of diffusion models, graph and hypergraph learning, and topology-driven image analysis. Discover how these techniques enable in-depth understanding and interpretation of complex medical images, empowering you to gain new insights and contribute to cutting-edge research in the field.
2. Navigate Regulatory and Ethical Considerations in Medical AI: Embark on a journey to better understand the regulatory landscape and ethical implications surrounding medical AI. Engage in enlightening discussions and gain insights into the intersection of the medical device industry, software engineering requirements, and regulatory processes. Participate in thought-provoking sessions that address the ethical challenges inherent in AI for medical imaging, fostering responsible practices and ensuring patient privacy and fairness.
3. Collaborative Approaches and Data Sharing: Embrace the power of collaboration and data sharing in healthcare AI by joining our tutorials on federated learning for healthcare, integrating human expertise with medical image computing, and leveraging curated data and cloud-based workflows. These sessions will showcase the immense potential of collaborative efforts, where multiple institutions come together to build robust and privacy-preserving AI models, fostering innovation and addressing healthcare challenges collectively.
4. Reproducibility and Standardization in Machine Learning: Explore the crucial topics of reproducibility and standardization in machine learning research within the medical imaging domain. Learn about best practices and principles for achieving reproducibility in your work, ensuring transparency and reliability, and advancing global healthcare. Discover innovative platforms and methodologies that enable the sharing of virtual imaging platforms and curated datasets, empowering you to make your results reproducible and facilitating collaboration among researchers.
These Tutorial Events offer an exceptional opportunity to engage with experts, expand your knowledge, and network with fellow professionals who share your passion for medical imaging and AI in healthcare. We encourage you to explore the detailed program and secure your spot early, as these tutorials tend to fill up quickly due to their popularity.
Join us in Vancouver for MICCAI 2023 and embrace the remarkable learning experiences that await you. We look forward to your active participation and the invaluable contributions you will make to our vibrant community.
Tutorials Chairs: Islem Rekik, Guoyan Zheng
Satellite Chair: Bennett A. Landman
MICCAI 2023 Organizing Committee