A review of deep learning-based deformable medical image registration
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods
Medical image registration is a vital component of many medical procedures, such as image-
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …
Deep learning for medical image registration: A comprehensive review
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …
analyses. In recent years, there has been a tremendous surge in the development of deep …
Recursive deformable pyramid network for unsupervised medical image registration
Complicated deformation problems are frequently encountered in medical image
registration tasks. Although various advanced registration models have been proposed …
registration tasks. Although various advanced registration models have been proposed …
Variance‐aware attention U‐Net for multi‐organ segmentation
Purpose With the continuous development of deep learning based medical image
segmentation technology, it is expected to attain more robust and accurate performance for …
segmentation technology, it is expected to attain more robust and accurate performance for …
[HTML][HTML] Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions–A comparative study on generalizability
A Strittmatter, LR Schad, FG Zöllner - Zeitschrift für Medizinische Physik, 2024 - Elsevier
Multimodal image registration is applied in medical image analysis as it allows the
integration of complementary data from multiple imaging modalities. In recent years, various …
integration of complementary data from multiple imaging modalities. In recent years, various …
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images
Affine image registration is a cornerstone of medical image processing backed by decades
of development. While classical algorithms can achieve excellent accuracy, they solve a …
of development. While classical algorithms can achieve excellent accuracy, they solve a …
3d brain and heart volume generative models: A survey
Generative models such as generative adversarial networks and autoencoders have gained
a great deal of attention in the medical field due to their excellent data generation capability …
a great deal of attention in the medical field due to their excellent data generation capability …
A Multistage Rigid-Affine-Deformable Network for Three-Dimensional Multimodal Medical Image Registration
A Strittmatter, A Caroli, FG Zöllner - Applied Sciences, 2023 - mdpi.com
Multimodal image registration is an important component of medical image processing,
allowing the integration of complementary information from various imaging modalities to …
allowing the integration of complementary information from various imaging modalities to …
Anatomy-aware and acquisition-agnostic joint registration with synthmorph
Affine image registration is a cornerstone of medical-image analysis. While classical
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …