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Published in 2018 at "Medical image analysis"
DOI: 10.1016/j.media.2018.07.002
Abstract: HighlightsA method to infer voxel‐level correspondence from higher‐level anatomical labels.Efficient and fully‐automated registration for MR and ultrasound prostate images.Validation experiments with 108 pairs of labelled interventional patient images.Open‐source implementation. ABSTRACT One of the fundamental challenges…
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Keywords:
voxel level;
image;
image registration;
multimodal image ... See more keywords
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Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-04993-y
Abstract: Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main…
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Keywords:
database;
human brains;
database multimodal;
vivo human ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24436-3
Abstract: Image fusion is a pivotal technology that effectively integrates multimodal image information to obtain clearer imaging, and it has wide applications in fields such as environmental monitoring, reconnaissance, and night vision. However, the majority of…
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Keywords:
loss;
degradation;
image;
fusion ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3581989
Abstract: Due to the differences in imaging mechanisms and nonlinear radiation distortion (NRD) between images of different modalities, multimodal image matching methods encounter challenges in matching performance. To address this issue, we propose a novel method…
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Keywords:
image;
image matching;
block;
multimodal image ... See more keywords
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Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2754263
Abstract: Multimodal image registration facilitates the combination of complementary information from images acquired with different modalities. Most existing methods require computation of the joint histogram of the images, while some perform joint segmentation and registration in…
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Keywords:
image registration;
multimodal image;
segmentation;
registration ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3163649
Abstract: Multimodal, alias, guided, image restoration is the reconstruction of a degraded image from a target modality with the aid of a high quality image from another modality. A similar task is image fusion; it refers…
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Keywords:
fusion;
image restoration;
restoration fusion;
multimodal image ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3247642
Abstract: We formulate the registration as a function that maps the input reference and sensed images to eight displacement parameters between prescribed matching points, as opposed to the usual techniques (feature extraction–description–matching–geometric restrictions). The projection transformation…
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Keywords:
end end;
remote sensing;
image fusion;
sensing image ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3554642
Abstract: Multimodal image-matching success rates (SRs) are often low due to nonlinear radiation differences. Furthermore, when geometric transformations such as rotation and resolution exist between images, the matching SR between multimodal images decreases even further. (It…
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Keywords:
feature;
rotation resolution;
multimodal image;
resolution ... See more keywords
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Published in 2022 at "Journal of Microscopy"
DOI: 10.1111/jmi.13131
Abstract: Tomographic diffraction microscopy (TDM) is a tool of choice for high‐resolution, marker‐less 3D imaging of biological samples. Based on a generalization of digital holographic microscopy with full control of the sample's illumination, TDM measures, from…
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Keywords:
diffraction microscopy;
microscopy;
multimodal image;
reconstruction ... See more keywords
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Published in 2019 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.28.1.013043
Abstract: Abstract. An adaptive joint sparsity model (JSM) is presented for multimodal image fusion. As a multisignal modeling technique, JSM, which is derived from distributed compressed sensing, has been successfully employed in multimodal image fusion. In…
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Keywords:
fusion;
image fusion;
multimodal image;
model ... See more keywords
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Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.3.033055
Abstract: Abstract. Multimodal image fusion plays a crucial role in complex scenarios such as nighttime surveillance and autonomous driving, with infrared-visible image fusion receiving significant attention. We propose light-integrated and guided fusion (LIGFusion), a fusion guidance…
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Keywords:
method;
ligfusion;
fusion;
multimodal image ... See more keywords