Micro-PET Imaging of αβ-Integrin Expression with F-Labeled Dimeric RGD Peptide by Xiaoyuan Chen, Michel Tohme, Ryan Park, Yingping Hou, James R. Bading, Peter S. Conti

“…Molecular Imaging…”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images by Satoshi Anai, Junko Hisasue, Yoichi Takaki, Naohiko Hara

“…Deep learning is an artificial intelligence (AI) technology that has been applied to the interpretation of medical images. This study investigated the feasibility of classifying fatal pneumonia based on CXR images using deep learning models on publicly available platforms. …”
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From detection to elimination: iron-based nanomaterials driving tumor imaging and advanced therapies by Dong Xie, Linglin Sun, Manxiang Wu, Qiang Li

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Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification by Prince Yaw Owusu Amoako, Guo Cao, Boshan Shi, Di Yang, Benedict Boakye Acka

Subjects: “…hyperspectral image…”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

Subjects: “…underwater image enhancement…”
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Real-time multimodal imaging of daptomycin action on the cell wall of adherent Staphylococcus aureus by Alexis Canette, Rym Boudjemaa, Julien Deschamps, Karine Steenkeste, Christian Marlière, Romain Briandet, Marie-Pierre Fontaine-Aupart

“…Prolonged exposure to the antibiotic caused marked alterations in the bacterial cell wall, including surface roughening and perforation, as revealed by multimodal imaging. However, daptomycin effectiveness diminished as biofilm formation progressed, underscoring the need for further exploration of optimized clinical strategies.…”
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Comparison of modelled diffusion-derived electrical conductivities found using magnetic resonance imaging by Sasha Hakhu, Leland S. Hu, Scott Beeman, Rosalind J. Sadleir

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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

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The influence of store image on customer satisfaction: a case study of a shoe store by Tarsis Souza Silva, Janaina de Moura Engracia Giraldi

Subjects: “…store image…”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

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2D Sin-Cos-Henon Map for Color Image Encryption with High Security by Zhiqiang Cheng, Wencheng Wang, Yuezhang Dai, Lun Li

“…In this paper, a high security color image encryption algorithm is proposed by 2D Sin-Cos-Hénon (2D-SCH) system. …”
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Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots by Fei Tan, Xiuwen Gao, Hao Cang, Nianyi Wu, Ruoyu Di, Jingkun Yan, Chengkai Li, Pan Gao, Xin Lv

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The Influence of Perception of Halal Labels and Brand Image on Cosmetic Purchasing Decisions Among Millennials by Abdul Hakim, Hajar Sugihantoro, Novia Maulina, Achmad Nasichuddin, Abdul Malik Setiawan, Diah Ayu Nicotiana

Subjects: “…brand image…”
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Zoom Auxiliary Imaging Lens Design for a Modulation Transfer Function Test System by Yicheng Sheng, Sihan Xu, Caishi Zhang, Binghua Su, Dingxiang Cao, Zhe Chen

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Imaging Findings of Bisphosphonate-Related Osteonecrosis of the Jaws: A Critical Review of the Quantitative Studies by André Ferreira Leite, Fernanda dos Santos Ogata, Nilce Santos de Melo, Paulo Tadeu de Souza Figueiredo

“…Electronic literature search was performed in order to identify as many quantitative studies that discussed the imaging findings of BRONJ up to February 2014. Initially, the search for articles was based on the following four types of imaging modalities for evaluating BRONJ: computed tomography, plain film radiographs, magnetic resonance imaging, and nuclear bone scanning. …”
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Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses by Ying Xiong, Linpeng Yao, Jinglai Lin, Jiaxi Yao, Qi Bai, Yuan Huang, Xue Zhang, Risheng Huang, Run Wang, Kang Wang, Yu Qi, Pingyi Zhu, Haoran Wang, Li Liu, Jianjun Zhou, Jianming Guo, Feng Chen, Chenchen Dai, Shuo Wang

“…Here we show that the deep learning models can non-invasively predict the likelihood of malignant and aggressive pathology of a renal mass based on preoperative multi-phase CT images.…”
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Construction of the image of Ermak in late XVI – XVII centuries: official, church and folk practices by S. A. Chernyshov

“…The article examines the evolution of ideas about Ermak from the end of the 16th and throughout the 17th centuries, identifies the main subjects of constructing his image. The aim of the study is to systematize and factorial analysis of the evolving discourses about Ermak’s campaign in the initial period of constructing images and legitimizing the annexation of Siberia to the Russian state in internal communicative practices. …”
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Imaging Features of the Mesenchymal Tumors of the Breast according to WHO Classification: A Pictorial Essay by Yoon Jung Lee, Yun-Woo Chang, Eun Ji Lee

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A Reconstruction Approach for Imaging in 3D Cone Beam Vector Field Tomography by T. Schuster, D. Theis, A. K. Louis

“…International Journal of Biomedical Imaging…”
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