Medical Image Registation I (IN2107)
Image registration is the process of aligning two or more images, and crucial for many image analysis pipelines. This seminar will cover selected material of image registration for medical imaging. Basic problem formulations to recent advances in the field will be discussed. This includes, but is not limited to:
- Learning and non-learning based image registration
- Optimization techniques
- Image registration for multi-modal data
- Multi-resolution and regularization strategies
- Linear and non-linear deformations
- Supervised and unsupervised learning
- Clinical applications
Julia A. Schnabel
Professor for Computational Imaging and AI in Medicine, Director of the Institute of Machine Learning in Biomedical Imaging
My research interests include machine/deep learning, nonlinear motion modeling, as well as multimodal and quantitative imaging, for cancer-, cardiac-, neuro- and perinatal imaging.