L’image du coureur entre mythe et religion au XXIe siècle by Bouchra CHOUGRANI

“…Pour analyser ce corpus nous ferons appel à une approche mythocritique pour révéler les associations des images des sportifs contemporains aux figures mythiques antiques et bibliques.…”
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Granzyme B PET Imaging Stratifies Immune Checkpoint Inhibitor Response in Hepatocellular Carcinoma by Julian L. Goggi, Boominathan Ramasamy, Yun Xuan Tan, Siddesh V. Hartimath, Jun Rong Tang, Peter Cheng, Rasha Msallam, Ann-Marie Chacko, You Yi Hwang, Edward G. Robins

“…Molecular Imaging…”
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A Bistatic Imaging Method for GEOSAR in the Strip Mode and UAVSAR in the Steering Beam Mode by W. Zhuo-qun, L. Ya-jun, S. Sheng, L. Shuang-shuang, X. Jin-guo, W. Jun-qiang, Z. Jian-hua

“…Compared with the traditional imaging method, the simulation validates perfectly the effectiveness of the bistatic imaging algorithm.…”
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Fault Identification of Rotor System Based on Classifying Time-Frequency Image Feature Tensor by Hui Li, Xiaofeng Liu, Lin Bo

“…In this paper, time-frequency image of rotor vibration signal is represented as a texture feature tensor for the pattern recognition of rotor fault states with the linear support higher-tensor machine (SHTM). …”
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The beginning of image development by the society in the interpretation of A.S. Pushkin's works during his lifetime by D.V. Tumanov

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Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems by Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess

“…International Journal of Biomedical Imaging…”
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Non-uniform Fourier transform based image classification in single-particle Cryo-EM by ZiJian Bai, Jian Huang

“…In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. …”
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STRUCTURE AND CONTENT OF I-, HE-IMAGES IN THE MINDS OF YOUNG PEOPLE LIVING IN THE REPUBLIC OF TUVA by S. M. Mombey-ool, V. L. Sitnikov

Subjects: “…i-image and he-image…”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…STS-2D-Tooth includes 4,000 images and 900 masks, categorized by age into children and adults. …”
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Reversible data hiding in encrypted image based on bit-plane compression of prediction error by Youqing WU, Wenjing MA, Zhaoxia YIN, Yinyin PENG, Xinpeng ZHANG

Subjects: “…reversible data hiding in encrypted image…”
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Digital Image Analysis of Vertebral Body S1 and Its Ossification Center in the Human Fetus by Magdalena Grzonkowska, Katarzyna Bogacz, Andrzej Żytkowski, Monika Szkultecka-Dębek, Michał Kułakowski, Michał Janiak, Agnieszka Rogalska, Mariusz Baumgart

“…Methods: The examinations were carried out on 54 human fetuses of both sexes (26 males and 28 females) aged 18–30 weeks of gestation, which had been preserved in 10% neutral formalin solution. Using CT, digital image analysis software, 3D reconstruction, and statistical methods, the size of the first sacral vertebra and its ossification center was evaluated. …”
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The relationship between sports sponsorship and corporate image, reputation and intention to buy: TORKU case by Abdullah Sencer Temel, Erkan Faruk Sırın

Subjects: “…image…”
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Image encryption algorithms based on chaos through dual scrambling of pixel position and bit by Xiao-heng DENG, Chun-long LIAO, Cong-xu ZHU, Zhi-gang CHEN

Subjects: “…image encryption…”
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Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels by Zhenye Niu, Yuxia Li, Yushu Gong, Bowei Zhang, Yuan He, Jinglin Zhang, Mengyu Tian, Lei He

Subjects: “…remote-sensing images…”
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Entropy-Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA) for inverse problems in imaging. by Limin Ma, Bingxue Wu, Yudong Yao, Yueyang Teng

“…Experimental results of a computed tomography (CT) image reconstruction task show that the ERIWSTA outperforms the existing methods in terms of convergence speed and recovery accuracy.…”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…However, compared with common color images, objects in remote sensing images exhibit minimal interclass variation and significant intraclass variation in the spectral dimension, with obvious scale inconsistency in the spatial dimension. …”
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Quality of computed tomography image versus dose in hybrid studies: preliminary results in phantom by Adlin López Díaz, Armando del Pozo Almaguer, Adalberto Machado Tejeda, Karla Batista Ramó, Carlos F Calderón Marín, Leonel Torres Aroche

“…<br /><strong>Objective:</strong> to evaluate the relationship of the computed tomography dose with some image quality parameters in hybrid study protocols.…”
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Magnetic Colloidal Particles in Combinatorial Thin-Film Gradients for Magnetic Resonance Imaging and Hyperthermia by Sumera Khizar, Nasir Mahmood Ahmad, Hassan Saleem, Muhammad Asif Hamayun, Sadia Manzoor, Noureddine Lebaz, Abdelhamid Elaissari

“…The developed gradient films and colloids were explored in magnetic resonance imaging (MRI) and hyperthermia. T1- and T2-weighted images and their corresponding signal intensities were obtained at 1.5 T. …”
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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

“…However, existing person detection models designed for aerial images heavily rely on numerous labeled instances and exhibit limited tolerance towards complex lighting conditions commonly encountered in search and rescue (SaR) scenarios. …”
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Corrigendum to “Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography” by Thomas Weidinger, Thorsten M. Buzug, Thomas G. Flohr, Steffen Kappler, Karl Stierstorfer

“…International Journal of Biomedical Imaging…”
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