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Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10900-5
Abstract: Stroke remains a significant global health concern, necessitating precise and efficient diagnostic tools for timely intervention and improved patient outcomes. The emergence of deep learning methodologies has transformed the landscape of medical image analysis. Recently,…
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Keywords:
stroke segmentation;
segmentation;
transformers based;
based architectures ... See more keywords
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Published in 2022 at "Inorganic chemistry"
DOI: 10.1021/acs.inorgchem.2c02424
Abstract: In this work, aiming for constructing multinuclear metal cluster-modified polymolybdate-based architectures with novel conformation, the "tree"-like multidentate ligand 5-(3-pyridyl)-1H-tetrazole) (3-ptzH) is introduced into the polymolybdate reaction system. Three new polymolybdate-based architectures with various multinuclear metal…
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Keywords:
ptz;
multinuclear metal;
based architectures;
cluster ... See more keywords
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Published in 2018 at "Chemical communications"
DOI: 10.1039/c8cc04962a
Abstract: The synthesis and optical properties of a novel series of disilanylene-bridged BODIPY-based D-σ-A chromophores are reported. Si-Si σ-electrons are useful and impressible for tunable optical properties. The electron-donating group facilitates enhancement of the CT nature…
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Keywords:
bodipy based;
disilanylene bridged;
series;
architectures novel ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152197
Abstract: Mobile core networks handle critical control functions for delivering services in modern cellular networks. Traditional point-to-point architectures, where network functions are directly connected through standardized interfaces, are being substituted by service-based architectures (SBAs), where core…
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Keywords:
network functions;
network;
software defined;
based architectures ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3570461
Abstract: Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its distinctive strengths and limitations. CNNs are constrained by a local…
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Keywords:
segmentation;
medical image;
image segmentation;
based architectures ... See more keywords