Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning-Reference-Cited by-同舟云学术

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Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning

Published:2022-11 Issue: Volume:82 Page:102604
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Sun Diya,Pei Yuru^ORCID,Zhang Yungeng,Xu Tianmin,Wang Tianbing,Zha Hongbin

Funder

Natural Science Foundation of Beijing Municipality

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

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

Reference64 articles.

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3. A reproducible evaluation of ANTs similarity metric performance in brain image registration;Avants;NeuroImage,2011

4. An unsupervised learning model for deformable medical image registration;Balakrishnan,2018

5. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Comput.,2003

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