[HTML][HTML] Insights into traditional Large Deformation Diffeomorphic Metric Map** and unsupervised deep-learning for diffeomorphic registration and their evaluation
M Hernandez, UR Julvez - Computers in Biology and Medicine, 2024 - Elsevier
This paper explores the connections between traditional Large Deformation Diffeomorphic
Metric Map** methods and unsupervised deep-learning approaches for non-rigid …
Metric Map** methods and unsupervised deep-learning approaches for non-rigid …
[HTML][HTML] Efficient momentum conservation constrained PDE-LDDMM with Gauss–Newton–Krylov optimization, Semi-Lagrangian Runge–Kutta solvers, and the band …
M Hernandez - Journal of Computational Science, 2021 - Elsevier
This paper proposes three efficient variants of Jacobi EPDiff PDE-LDDMM, where efficiency
is achieved through Semi-Lagrangian Runge–Kutta integration and the band-limited …
is achieved through Semi-Lagrangian Runge–Kutta integration and the band-limited …
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge–Kutta Integration for Efficient PDE-Constrained LDDMM
M Hernandez - Journal of Mathematical Imaging and Vision, 2021 - Springer
The family of PDE-constrained Large Deformation Diffeomorphic Metric Map** (LDDMM)
methods is emerging as a particularly interesting approach for physically meaningful …
methods is emerging as a particularly interesting approach for physically meaningful …
Probing individual-level structural atrophy in frontal glioma patients
G Zhang, X Zhang, H Huang, Y Wang, H Li, Y Duan… - Neurosurgical …, 2022 - Springer
Although every glioma patient varies in tumor size, location, histological grade and
molecular biomarkers, non-tumoral morphological abnormalities are commonly detected by …
molecular biomarkers, non-tumoral morphological abnormalities are commonly detected by …
A Comparative Study of Different Variants of Newton--Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields
M Hernandez - SIAM Journal on Imaging Sciences, 2019 - SIAM
PDE-constrained Stokes Large Deformation Diffeomorphic Metric Map** (LDDMM) is a
particularly interesting framework of physically meaningful diffeomorphic registration …
particularly interesting framework of physically meaningful diffeomorphic registration …
Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields …
M Hernández Giménez, U Ramón Júlvez… - 2022 - zaguan.unizar.es
This work proposes a unifying framework for extending PDE-constrained Large Deformation
Diffeomorphic Metric Map** (PDE-LDDMM) with the sum of squared differences (SSD) to …
Diffeomorphic Metric Map** (PDE-LDDMM) with the sum of squared differences (SSD) to …
Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields …
M Hernandez, U Ramon-Julvez, D Sierra-Tome - Sensors, 2022 - mdpi.com
This work proposes a unifying framework for extending PDE-constrained Large Deformation
Diffeomorphic Metric Map** (PDE-LDDMM) with the sum of squared differences (SSD) to …
Diffeomorphic Metric Map** (PDE-LDDMM) with the sum of squared differences (SSD) to …
[PDF][PDF] SIMULATION TECHNOLOGY DEGREE COURSE
F HUBER - 2019 - core.ac.uk
Diffeomorphic image registration is a common problem in medical image analysis. Here,
one searches for a diffeomorphic deformation that maps one image (the moving or template …
one searches for a diffeomorphic deformation that maps one image (the moving or template …
[ALINTI][C] Efficient algorithms for geodesic shooting in diffeomorphic image registration
F Huber - 2019