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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243104
Abstract: Computerized tomography (CT) scan images are widely used in automatic lung cancer detection and classification. The lung nodules’ texture distribution throughout the CT scan volume can vary significantly, and accurate identification and consideration of discriminative…
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Keywords:
nodule;
classification;
attention;
texture ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3199199
Abstract: Estimating physiological parameters - such as blood pressure (BP) - from raw sensor data captured by noninvasive, wearable devices rely on either burdensome manual feature extraction designed by domain experts to identify key waveform characteristics…
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Keywords:
driven guided;
attention analysis;
data driven;
deep learning ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3183011
Abstract: The goal of video-based person re-identification (Re-ID) is to identify the same person across multiple non-overlapping cameras. The key to accomplishing this challenging task is to sufficiently exploit both spatial and temporal cues in video…
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Keywords:
global guided;
aggregation;
person;
multi ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3180484
Abstract: Convolutional neural networks (CNNs) have shown impressive performance in computer vision due to their nonlinearity. Particularly, DenseNet (DN) that facilitates feature reuse in a feedforward (FF) manner has achieved state-of-the-art reconstruction accuracy for super-resolution (SR).…
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Keywords:
network;
guided attention;
super resolution;
aware guided ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3149899
Abstract: Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention for overcoming the…
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Keywords:
network;
guided attention;
fnirs guided;
eeg fnirs ... See more keywords
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Published in 2019 at "Journal of Cognitive Neuroscience"
DOI: 10.1162/jocn_a_01379
Abstract: Social attention when viewing natural social (compared with nonsocial) images has functional consequences on contextual memory in healthy human adults. In addition to attention affecting memory performance, strong evidence suggests that memory, in turn, affects…
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Keywords:
memory guided;
guided attention;
functional consequences;
attention ... See more keywords
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics13010123
Abstract: Colorectal Cancer is one of the most common cancers found in human beings, and polyps are the predecessor of this cancer. Accurate Computer-Aided polyp detection and segmentation system can help endoscopists to detect abnormal tissues…
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Keywords:
gar net;
guided attention;
polyp segmentation;
segmentation ... See more keywords
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Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13050896
Abstract: Automatic segmentation of polyps during colonoscopy can help doctors accurately find the polyp area and remove abnormal tissues in time to reduce the possibility of polyps transforming into cancer. However, the current polyp segmentation research…
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Keywords:
boundary guided;
attention exploration;
polyp segmentation;
segmentation ... See more keywords