A review of multimodal image matching: Methods and applications
Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …
similar structure/content from two or more images that are of significant modalities or …
A coarse-to-fine deformable transformation framework for unsupervised multi-contrast MR image registration with dual consistency constraint
Multi-contrast magnetic resonance (MR) image registration is useful in the clinic to achieve
fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless …
fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless …
Retinal oct image registration: Methods and applications
L Pan, X Chen - IEEE Reviews in Biomedical Engineering, 2021 - ieeexplore.ieee.org
Retinal image registration is a critical task in the diagnosis and treatment of various eye
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
Two-step registration on multi-modal retinal images via deep neural networks
J Zhang, Y Wang, J Dai, M Cavichini… - … on Image Processing, 2021 - ieeexplore.ieee.org
Multi-modal retinal image registration plays an important role in the ophthalmological
diagnosis process. The conventional methods lack robustness in aligning multi-modal …
diagnosis process. The conventional methods lack robustness in aligning multi-modal …
Deep-learning based multi-modal retinal image registration for the longitudinal analysis of patients with age-related macular degeneration
This work reports a deep-learning based registration algorithm that aligns multi-modal
retinal images collected from longitudinal clinical studies to achieve accuracy and …
retinal images collected from longitudinal clinical studies to achieve accuracy and …
Vessel optimal transport for automated alignment of retinal fundus images
Optimal transport has emerged as a promising and useful tool for supporting modern image
processing applications such as medical imaging and scientific visualization. Indeed, the …
processing applications such as medical imaging and scientific visualization. Indeed, the …
Utilizing GCN and meta-learning strategy in unsupervised domain adaptation for pancreatic cancer segmentation
Automated pancreatic cancer segmentation is highly crucial for computer-assisted
diagnosis. The general practice is to label images from selected modalities since it is …
diagnosis. The general practice is to label images from selected modalities since it is …
Self-supervised rigid registration for multimodal retinal images
C An, Y Wang, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The ability to accurately overlay one modality retinal image to another is critical in
ophthalmology. Our previous framework achieved the state-of-the-art results for multimodal …
ophthalmology. Our previous framework achieved the state-of-the-art results for multimodal …
Multi-modal medical image registration with full or partial data: a manifold learning approach
Multi-modal image registration is the primary step in integrating information stored in two or
more images, which are captured using multiple imaging modalities. In addition to intensity …
more images, which are captured using multiple imaging modalities. In addition to intensity …
Automated inter-device 3d OCT image registration using deep learning and retinal layer segmentation
D Rivas-Villar, AR Motschi, M Pircher… - Biomedical Optics …, 2023 - opg.optica.org
Optical coherence tomography (OCT) is the most widely used imaging modality in
ophthalmology. There are multiple variations of OCT imaging capable of producing …
ophthalmology. There are multiple variations of OCT imaging capable of producing …