Registration is the process of establishing spatial correspondences between two objects. Many downstream tasks, e.g, in image analysis, shape animation, can make use of these spatial correspondences. A variety of registration approaches have been …
Image regression, atlas building, and multi-atlas segmentation are three groupwise medical image analysis problems extended from image registration. These three problems are challenging because of the difficulty in establishing spatial …
Deep Learning approaches have achieved revolutionary performance improvement on many computer vision tasks from understanding natural images and videos to analyzing medical images. Besides building more complex deep neural networks (DNNs) and …
Histology images of tumor tissue are an important diagnostic and prognostic tool for pathologists. Recently developed molecular methods group tumors into subtypes to further guide treatment decisions, but they are not routinely performed on all …
Image registration is essential for medical image analysis to provide spatial correspondences. It is a difficult problem due to the modeling complexity of image appearance and the computational complexity of the deformable registration models. Thus, …