MSLp: Deep Superresolution for Meteorological Satellite Image by Liling Zhao, Hao Yu, Yan Wang

“…In this work, we propose a novel framework called MSLp (Meteorological Satellite Loss phase). …”
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints by Jun Fukae, Yoshiharu Amasaki, Yuichiro Fujieda, Yuki Sone, Ken Katagishi, Tatsunori Horie, Tamotsu Kamishima, Tatsuya Atsumi

“…Conclusions Artificial images may be useful for training VGG-16. The present novel approach of using artificial images as an alternative to actual images for training a CNN has the potential to be applied in medical imaging fields that face difficulties in collecting real clinical images.…”
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Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

“…Visual tracking is still a challenging task due to occlusion, appearance changes, complex motion, etc. …”
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PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement by Huidi Jia, Qiang Wang, Bo Fu, Zhimin Zheng, Yandong Tang

“…In this paper, we present a novel idea of multiple-stage supervision to guide the network to learn useful features correctly and progressively. …”
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From Heritage Building Information Modelling Towards an ‘Echo-Based’ Heritage Digital Twin by Hord Arsalan, David Heesom, Nigel Moore

“…While the current EH-DT framework focuses on producing 2D visual representations, it lays the foundation for potential future integration with HBIM models or digital twin systems. …”
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Promiscuous Chemokine Antagonist (BKT130) Suppresses Laser-Induced Choroidal Neovascularization by Inhibition of Monocyte Recruitment by Shira Hagbi-Levi, Michal Abraham, Liran Tiosano, Batya Rinsky, Michelle Grunin, Orly Eizenberg, Amnon Peled, Itay Chowers

“…Age-related macular degeneration (AMD), the most common cause of blindness in the developed world, usually affects individuals older than 60 years of age. The majority of visual loss in this disease is attributable to the development of choroidal neovascularization (CNV). …”
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High-Quality Text-to-Image Generation Using High-Detail Feature-Preserving Network by Wei-Yen Hsu, Jing-Wen Lin

“…To address these issues, the novel High-Detail Feature-Preserving Network (HDFpNet) is proposed to effectively generate high-quality, near-realistic images from text descriptions. …”
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Context-dependent modulation of spatial attention: prioritizing behaviourally relevant stimuli by Noah Britt, Jackie Chau, Hong-jin Sun

“…In the current study, we report a novel phenomenon in which the guidance of attention is dependent on the stimuli appearing in a behaviourally relevant context. …”
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Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

“…This research not only highlights the potential of deep learning technologies in enhancing traffic safety but also provides a novel and efficient approach for law enforcement agencies to monitor and address this growing issue effectively. …”
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OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

“…Diagnosing osteoporosis from X-ray images poses a significant challenge due to the visual similarities between images from healthy subjects and patients. …”
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Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences by Xishi Liu, Haolin Wang, Dan Li

“…In our research, we propose a novel suggestion model of short video material for international video apps through user preference modelling via hybrid multi-modal GCN (graph convolutional network). …”
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Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels by Xujiong Ye, Gareth Beddoe, Greg Slabaugh

“…Finally, a graph cut algorithm groups the superpixels using a novel energy formulation that incorporates shape, intensity, and spatial features. …”
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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…With the booming of video devices ranging from low-power visual sensors to mobile phones, the video sequences captured by these simple devices must be compressed easily and reconstructed by relatively more powerful servers. …”
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Association between personality traits and the enjoyment of pimple-popping videos by Arved Seibel, Albert Wabnegger, Anne Schienle

“…However, the psychological mechanisms behind this novel and puzzling phenomenon remain largely unexplored. …”
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Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

“…To address this issue, we propose a novel model named Domain Adaptation Exemplar Support Vector Machines (DAESVMs) based on exemplar support vector machines (exemplar-SVMs). …”
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Epitomize Your Photos by Peter Vajda, Ivan Ivanov, Jong-Seok Lee, Touradj Ebrahimi

“…In this paper, we present and analyze an approach for photo album summarization through a novel social game “Epitome” as a Facebook application. …”
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A New Multiple-Distribution GAN Model to Solve Complexity in End-to-End Chromosome Karyotyping by Yirui Wu, Xiao Tan, Tong Lu

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Recurrence of Herpetic Keratitis after COVID-19 Vaccination: A Report of Two Cases by Ali Mahdavi Fard, Jeffrey Desilets, Sangita Patel

“…The USFDA and WHO have acknowledged that the novel COVID-19 vaccines similarly have a risk of reactive immunologic-based inflammation, namely, myositis, pericarditis, and Guillain-Barré syndrome. …”
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The Efficacy of Conbercept in Polypoidal Choroidal Vasculopathy: A Systematic Review by Yimin Wang, Mengxi Shen, Jinwei Cheng, Xiaodong Sun, Peter K. Kaiser

“…This meta-analysis has evaluated the efficacy of a novel anti-VEGF agent, conbercept, in the management of PCV using ranibizumab and aflibercept as the reference agents. …”
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Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis by Andrei Agius Anastasi, Owen Falzon, Kenneth Camilleri, Malcolm Vella, Richard Muscat

“…Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. …”
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