RADIOCHROMIC FILM CALIBRATION FOR DOSIMETRY IN CHEST CT SCANS by Mauricio Gomez, Arnaldo Prata Mourão

“…Phantoms can be used as quality control objects in computed tomography (CT) imaging and dosimetry in specific regions of interest. …”
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High resolution building facade dataset for facade elements parsingMendeley Data by Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang

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Topographic anatomy of the liver of children and adolescents according to intravital imaging by A. S. Lozinskiy

“…Material and methods. Abdominal computed tomograms of 88 children and adolescents without visible pathology of the abdominal organs were analyzed. …”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

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Radiology of viral pneumonia by A. A. Speranskaia, L. N. Novikova, O. P. Baranova, M. A. Vasilieva

“…All patients underwent conventional X-ray examinations (radiography in two projections), multi-spiral computed tomography (CT), high-resolution CT. Seven patients underwent CT angiography. …”
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Telemedicine career pursuance among nurses in healthcare business processing outsourcing industries from the Philippines: A task-technology fit and technology acceptance approach by Ray Ver V. Baldemor, Ardvin Kester S. Ong, Emmillie Joy B. Mejia, John Francis T. Diaz, Ma Janice J. Gumasing

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Quantum illumination radars: Target detection by Jingxin Wang, Kon Max Wong

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Building a Reliable Steganography System Using Random Key in a spatial Domain of Image by Baghdad Science Journal

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Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays by Gengxin Ning, Shujia Zhang, Jun Zhang, Cui Yang

“…Compared with the velocity‐independent 2‐D DOA algorithm, it has lower computational complexity.…”
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NeuralConstraints: integrating a neural generative model with constraint-based composition by Juan S. Vassallo, Örjan Sandred, Julien Vincenot

“…We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework. …”
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OPTIMASI DESAIN SHELL AND TUBE HEAT EXCHANGER TIPE SINGLE SEGMENTAL BAFFLE DENGAN VARIASI JUMLAH BAFFLE DAN POTONGAN BAFFLE MENGGUNAKAN METODE COMPUTATIONAL FLUID DYNAMIC by Ahmed Fajri, Trisma Jaya Saputra, Rany Puspita Dewi

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Associations between COVID-19 Clinical Screening Tools, Rapid Diagnostic Tests and Computed Tomography for Effective Risk Mitigation of COVID-19 in a Private Hospital Setting in Ni... by Victor Ede, Edet Ekeng, Swabirah Sulaiman, Hannatu Sani, Monday Solomon, Timi Oladipo, Ibrahim Wada

“…Hence this study described the process of reviewing, adapting and integrating a novel COVID-19 risk assessment tool and correlation of risk assessment scores with rapid diagnostic test (RDT) and chest computed tomography (CT) findings. …”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. …”
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Epidemiologic pattern of patients with neurocysticercosis diagnosed by computed tomography in Curitiba, Brazil Perfil epidemiológico de pacientes com neurocisticercose diagnosticad... by Ana Laura Grazziotin, Mariana Campos Fontalvo, Marilis Beckert Feijó Santos, Fernanda Monego, Ana Line Grazziotin, Victor Hugo Zanini Kolinski, Rodrigo Henrique Bordignon, Alexander Welker Biondo, Affonso Antoniuk

“…The aim of this study was to drawn an epidemiological pattern of neurocystisticercosis (NCC) patients diagnosed by computed tomography at the major private diagnostic center in Curitiba, Brazil. …”
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Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the Car... by Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

“…Objectivehe CarDIA-AI (Coronary computed tomographic angiography to optimize the Diagnostic yield of Invasive Angiography for low-risk patients screened with Artificial Intelligence) study aims to evaluate whether AI-based risk assessment for obstructive CAD implemented within a centralized triage process can optimize the use of ICA in outpatients referred for nonurgent ICA. …”
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Solving and Optimization of Cobb–Douglas Function by Genetic Algorithm: A Step-by-Step Implementation by Ali Dinc, Faruk Yildiz, Kaushik Nag, Murat Otkur, Ali Mamedov

“…Visual aids and pedagogical recommendations further illustrate the algorithm’s utility, making this study a significant contribution to the computational optimization literature. Additionally, the optimization process using genetic algorithms is presented in a step-by-step manner, with accompanying visual graphs that enhance comprehension and demonstrate the method’s effectiveness in solving mathematical problems, as validated by the study’s results.…”
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An Empirical Investigation in Analysing the Critical Factors of Artificial Intelligence in Influencing the Food Processing Industry: A Multivariate Analysis of Variance (MANOVA) Ap... by G. S. Raghavendra, S. Shyni Carmel Mary, Purnendu Bikash Acharjee, V. L Varun, Syed Nisar Hussain Bukhari, Chiranjit Dutta, Issah Abubakari Samori

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Skin cancer identification utilizing deep learning: A survey by Dulani Meedeniya, Senuri De Silva, Lahiru Gamage, Uditha Isuranga

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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things by Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang

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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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