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Published in 2024 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.30138
Abstract: To develop and evaluate a phase unwrapping method for cine phase contrast MRI based on graph cuts.
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Keywords:
contrast mri;
phase contrast;
phase;
graph cuts ... See more keywords
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Published in 2017 at "Irbm"
DOI: 10.1016/j.irbm.2017.04.004
Abstract: Abstract Context X-ray angiography is the most used tool by clinician to diagnose the majority of cardiovascular disease and deformations in coronary arteries like stenosis. In most applications involving angiograms interpretation, accurate segmentation is essential…
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Keywords:
graph cuts;
proposed method;
segmentation;
coronary artery ... See more keywords
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Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101748
Abstract: The location of the mitral and aortic valves in dynamic cardiac imaging is useful for extracting functional derived parameters such as ejection fraction, valve excursions, and global longitudinal strain, and when performing anatomical structures tracking…
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Keywords:
automatic estimation;
aortic mitral;
mitral valve;
valve ... See more keywords
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Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/ae1906
Abstract: Graph cut, a combinatorial optimization, is explored in quantum computing, seeking optimal bi-partitions of a directed or undirected, weighted or unweighted graph. The cut models, such as max-cut and min-cut, are applied in domains including…
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Keywords:
graph cuts;
analysis;
exploring graph;
cut ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3275970
Abstract: Image stitching task targets to derive a large panoramic image for obtaining extensive information. However, artifacts such as ghosting or geometric misalignment are inevitably generated. As a practical measure, optimal seamline detection strategies use the…
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Keywords:
optimal seamline;
graph cuts;
image stitching;
seamline detection ... See more keywords
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Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3180302
Abstract: Water-fat separation is a non-linear non-convex parameter estimation problem in magnetic resonance imaging typically solved using spatial constraints. However, there is still limited knowledge on how to separate in vivo three chemical species in the…
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Keywords:
graph cuts;
water;
resolution;
separation ... See more keywords
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Published in 2024 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3344356
Abstract: Deep learning solutions have recently demonstrated remarkable performance in phase unwrapping by approaching the problem as a semantic segmentation task. However, these solutions lack explainability and robustness to unseen conditions, and they often need a…
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Keywords:
graph cuts;
deep learning;
learning phase;
neuralpuma learning ... See more keywords