Image registration: Maximum likelihood, minimum entropy and deep learning

Author:

Sedghi Alireza,O’Donnell Lauren J.,Kapur Tina,Learned-Miller ErikORCID,Mousavi Parvin,Wells William M.

Funder

Ontario Trillium Foundation

National Institutes of Health

Canadian Institutes of Health Research

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

1. VoxelMorph: a learning framework for deformable medical image registration;Balakrishnan;IEEE Trans. Med. Imaging,2019

2. Variational inference: a review for statisticians;Blei;J. Am. Stat. Assoc.,2017

3. Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients;Blendowski;Int. J. Comput. Assisted Radiol. Surg.,2019

4. Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms;Chan,2003

5. Deep similarity learning for multimodal medical images;Cheng;Comput. Methods Biomech. Biomed.Eng.: Imaging Vis.,2018

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