Primal-dual convex optimization in large deformation diffeomorphic metric mapping: LDDMM meets robust regularizers-Reference-Cited by-同舟云学术

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Primal-dual convex optimization in large deformation diffeomorphic metric mapping: LDDMM meets robust regularizers

Published:2017-11-13 Issue:23 Volume:62 Page:9067-9098
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Hernandez Monica

Funder

University of Zaragoza

Diputacion General de Aragon

Spanish ministry of economy and competitiviness (MINECO)

Nvidia

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aa925a/pdf

Reference83 articles.

1. A fast diffeomorphic image registration algorithm

2. Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation

3. A Database and Evaluation Methodology for Optical Flow

4. Symmetric Data Attachment Terms for Large Deformation Image Registration

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1. Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation;Computers in Biology and Medicine;2024-08

2. Template-Based Image Reconstruction Facing Different Topologies;Journal of Scientific Computing;2024-02-03

3. Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields, and Mutual Information: A Unifying Framework;Sensors;2022-05-13

4. PDE-constrained LDDMM via geodesic shooting and inexact Gauss–Newton–Krylov optimization using the incremental adjoint Jacobi equations;Physics in Medicine & Biology;2019-01-07

5. Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping;IEEE Journal of Biomedical and Health Informatics;2019-01

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