Laurent Van Eynde & Natacha Pfeiffer (dir.), John Ford : histoire, image et politique by Marthe Statius

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An Optimized Spline-Based Registration of a 3D CT to a Set of C-Arm Images by S. Jonic, P. Thévenaz, G. Zheng, L.-P. Nolte, M. Unser

“…International Journal of Biomedical Imaging…”
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

“…Using these images along with the proposed autoencoder structure, the method achieves an AUC score of 0.97 in detecting anomalies given a single day of sensor image.…”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…The paper studies the real-time stereo image-based localization of a vehicle in a prior 3D LiDAR map. …”
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A measurement method of fifth-generation multiple-input multiple-output antenna based on microwave imaging by Hangyu Chen, Jingcheng Zhao, Tao Hong, Shuli Zheng, Haohui Hong, Mohamed Cheriet

“…To simplify the measurement method of the S 11 parameter utilizing the traditional vector network analyzer, this article proposes a multiple-input multiple-output measurement method based on microwave imaging. The multiple-input multiple-output element was designed, and then the existence of mismatched scattering of the mismatched state through microwave one-dimensional and two-dimensional imaging simulations was verified. …”
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Magnetic Resonance Imaging and Flexible Hysterofiberscopic Findings of a Uterine Adenofibroma: Case Report and Literature Review by Hideki Watanabe, Naoya Harada, Ichiro Nobuhara, Noriko Haruta, Yumi Higashiura, Shioka Watanabe

“…A 75-year-old nulliparous asymptomatic woman presented with a uterine polyp, which exhibited punctate heterogeneous hyperintensity or islands of isointense-to-hypointense signals on T2-weighted magnetic resonance imaging (MRI), hypointense signals on T1-weighted images (T1WI), and a little enhancement on contrast-enhanced T1WI. …”
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Impact of the COVID-19 Pandemic and Vaccine Availability on Utilization of Breast Imaging in a Multistate Radiology Practice by Andrew K. Hillman, Phil Ramis, Patrick Nielsen, Eric M. Rohren

“…Our study evaluated the impact of COVID-19 on breast imaging volumes and the recovery of these volumes following availability of COVID-19 vaccination. …”
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Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations by Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

Subjects: “…Biomedical imaging…”
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Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs by Eryang Chen, Ruichun Chang, Kaibo Shi, Ansheng Ye, Fang Miao, Jianghong Yuan, Ke Guo, Youhua Wei, Yiping Li

“…Hyperspectral images (HSIs) contain large amounts of spectral and spatial information, and this provides the possibility for ground object classification. …”
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L’usure iconique. Circulation et valeur des images dans le cinéma américain contemporain by Mathias Kusnierz

“…Postmodern Hollywood cinema has been characterized as a highly reflexive art, in which images refer to other images or to themselves—not to the world. …”
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High Spatiotemporal Near‐Infrared II Fluorescence Lifetime Imaging for Quantitative Detection of Clinical Tumor Margins by Zhen Chen, Linjian Huang, Duyang Gao, Zhouzhou Bao, Dehong Hu, Wei Zheng, Jing Chen, Jiuling Liao, Hairong Zheng, Zonghai Sheng

“…Notably, NIR‐II FLT imaging demonstrates superior accuracy (90%) and consistency in defining tumor margins compared to NIR‐II FL imaging (58%) in both SK‐OV‐3 tumor‐bearing mice and clinical tumor samples. …”
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Microwave Imaging of 3D Dielectric Structures by Means of a Newton-CG Method in lp Spaces by Claudio Estatico, Alessandro Fedeli, Matteo Pastorino, Andrea Randazzo, Emanuele Tavanti

“…An increasing number of practical applications of three-dimensional microwave imaging require accurate and efficient inversion techniques. …”
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Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms by Man Yan, Zhou Li, Zheng Dong, Yiming Liun, Liyun Chen, Xiaosong Wu, Lijun Wu

“…The optimized Kmeans clustering algorithm is integrated to identify the Region of Interest (ROI) in the image containing the target gas. The quantification of the volume flow rate within the ROI is realized by integrating the radiation transfer model with the optical flow method. …”
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Biomarker‐induced gold aggregates enable activatable near‐infrared‐II photoacoustic image‐guided radiosensitization by Qinrui Fu, Chuang Wei, Xiao Yang, Mengzhen Wang, Jibin Song

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Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration by Lotta M. Ellingsen, Jerry L. Prince

“…International Journal of Biomedical Imaging…”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…Abstract Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. …”
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Monitoring the earth surface temperature and relationship land use with surface temperature using of OLI and TIRS Image by sayyad asghari, hadi emami

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Partial Attention in Global Context and Local Interaction for Addressing Noisy Labels and Weighted Redundancies on Medical Images by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

“…Recently, the application of deep neural networks to detect anomalies on medical images has been facing the appearance of noisy labels, including overlapping objects and similar classes. …”
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First-in-Human PET Imaging of [18F]SDM-4MP3: A Cautionary Tale by Kimberly L. Desmond, Anton Lindberg, Armando Garcia, Junchao Tong, Michael B. Harkness, Elena Dobrota, Kelly Smart, Carme Uribe, Jeffrey H. Meyer, Sylvain Houle, Antonio P. Strafella, Songye Li, Yiyun Huang, Neil Vasdev

“…Molecular Imaging…”
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Automatic detection of concrete cracks from images using Adam-SqueezeNet deep learning model by Lin Wang

“…The techniques based on image processing can effectively detect cracks in digital images. …”
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