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Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.23876
Abstract: Intracranial recordings captured from subdural electrodes in patients with drug resistant epilepsy offer clinicians and researchers a powerful tool for examining neural activity in the human brain with high spatial and temporal precision. There are…
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Keywords:
surface;
regions interest;
across individuals;
surface based ... See more keywords
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Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23387
Abstract: In the recent years, artificial intelligence (AI) algorithms have been used to accurately diagnose musculoskeletal diseases. However, it is not known whether the particular regions of interest (ROI) delineation method would affect the performance of…
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Keywords:
ultrasound based;
regions interest;
delineation method;
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.029
Abstract: Abstract This paper presents a novel change detection network for identifying scene changes about pairs of aerial images. The aerial images are obtained with Unmanned Aerial Vehicles (UAVs), used to analyze “where and how” changes…
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Keywords:
dual regions;
change detection;
aerial images;
detection ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-60092-5
Abstract: Multidimensional correlation magnetic resonance imaging (MRI) is an emerging imaging modality that is capable of disentangling highly heterogeneous and opaque systems according to chemical and physical interactions of water within them. Using this approach, the…
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Keywords:
information;
spectral regions;
regions interest;
multidimensional correlation ... See more keywords
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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-09929-9
Abstract: Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous training data,…
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Keywords:
generative adversarial;
performance;
digital mammograms;
based digital ... See more keywords
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Published in 2022 at "Brain Injury"
DOI: 10.1080/02699052.2022.2034960
Abstract: ABSTRACT Background Moderate-to-severe traumatic brain injury (TBI) follows a chronic neuro-psychological sequelae, interfering with quality of life (QOL). Objective To investigate the chronic effects of moderate-to-severe TBI as expressed by greater atrophy in specific regions-of-interest…
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Keywords:
tbi;
regions interest;
severe tbi;
executive functions ... See more keywords
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Published in 2022 at "Journal of Synchrotron Radiation"
DOI: 10.1107/s1600577522003095
Abstract: A new instrument for real-time reconstruction of three arbitrary slices of raw tomographic projection data streaming from a 2D detector is presented. The instrument allows for quick 3D zooming to regions of interest defined by…
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Keywords:
regions interest;
zooming regions;
reconstruction;
real time ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2903123
Abstract: Radiotherapy is a major treatment for head and neck cancer. Currently, computed tomography (CT) is utilized to delineate the target area and make radiotherapy plans. Compared with CT images, magnetic resonance (MR) images have excellent…
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Keywords:
surface matching;
surface;
registration;
head neck ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3197169
Abstract: Given a set of geotagged photos with a view direction, the discovering real regions of interest (DRRI) problem identifies real regions of Interest (RealROIs) in the photos. The problem is important in many societal applications,…
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Keywords:
regions interest;
realroi discovering;
geotagged photos;
discovering real ... See more keywords
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Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3435494
Abstract: The extraction of regions of interest (ROI) plays a vital role in enhancing the precision of target analysis and identification, especially for hyperspectral small targets in wide fields of view. While the use of deep…
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Keywords:
self supervised;
supervised learning;
regions interest;
extraction ... See more keywords
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Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2603527
Abstract: This paper addresses the problem of efficient predictive lossless compression on the regions of interest (ROIs) in the hyperspectral images with no-data regions. We propose a two-stage prediction scheme, where a context-similarity-based weighted average prediction…
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Keywords:
predictive lossless;
compression regions;
images data;
regions interest ... See more keywords