This paper explores the connections between traditional Large Deformation Diffeomorphic Metric Mapping methods andunsupervised deep-learning approaches for non-rigid registration, particularly emphasi
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the
All modalities were aligned to IMS data on a per pixel basis, by linking of the theoretical pixel location in each image to the laser ablation marks made by the IMS laser in a raster across the tissue
