Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an ex vivo study by Larissa Pereira Lagos de Melo, Polyane Mazucatto Queiroz, Larissa Moreira-Souza, Mariana Rocha Nadaes, Gustavo Machado Santaella, Matheus Lima Oliveira, Deborah Queiroz Freitas

“…ObjectivesThe aim of this study was to evaluate the influence of peak kilovoltage (kVp) and a metal artifact reduction (MAR) tool on image quality and the diagnosis of vertical root fracture (VRF) in cone-beam computed tomography (CBCT).Materials and MethodsTwenty single-rooted human teeth filled with an intracanal metal post were divided into 2 groups: control (n = 10) and VRF (n = 10). …”
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Design and Performance Evaluation of an Authentic End-to-End Communication Model on Large-Scale Hybrid IPv4-IPv6 Virtual Networks to Detect MITM Attacks by Zeeshan Ashraf, Adnan Sohail, Muddesar Iqbal

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Body composition analysis using CT at three aspects of the lumbar third vertebra and its impact on the diagnosis of sarcopenia by Hui Yang, Zekan Gao, Qingzheng Shen, Huaiqing Zhi, Wentao Cai, Xiang Wang, Xiaodong Chen, Xian Shen, Weiteng Zhang

“…Abstract Purpose The European Working Group on Sarcopenia in Older People (EWGSOP) revised the consensus in 2018, including that using computed tomography (CT) imaging of the lumbar third vertebra (L3) for the evaluation of muscle mass. …”
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How universities teach cybersecurity courses online: a systematic literature review by Ali Ahmed, Ali Ahmed, Craig Watterson, Saadat Alhashmi, Tarek Gaber

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A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria by Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, Staffan Jahnson, Henrik Leonhardt, Elin Trägårdh, Johannes Ulén, Henrik Kjölhede

“…Objective: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in patients with macroscopic hematuria. …”
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Diagnostic value ultrasound signs of stones less than or equal to 10 mm and clinico-radiological variants of ureteric colic by Denis V. Krakhotkin, Volodymyr A. Chernylovskyi, Kemal Sarica, Arman Tsaturyan, Evangelos Liatsikos, Jurijus Makevicius, Nikolay Yu Iglovikov, Dmitry N. Pikhovkin

“…In addition to microscopic evaluation of urine sediment to detect different crystals and non-contrast spiral computed tomography to detect stones, B-mode and color Doppler sonography was performed to assess the presence of acoustic shadow (AS) and twinkle artifacts (TA) as possible signs of stone(s) in ureter. …”
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Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images by Xiao Pan, Chengtao Wang, Xuhui Luo, Qi Dong, Haiyang Sun, Wentao Zhang, Hongyan Qu, Runzhi Deng, Zitong Lin

“…Visual scoring (1–5 points) were performed to evaluate the accuracy and generalizability of MC localization for all external testing data. …”
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Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis by Tianying Zheng, Yajing Zhu, Yidi Chen, Shengshi Mai, Lixin Xu, Hanyu Jiang, Ting Duan, Yuanan Wu, Yali Qu, Yinan Chen, Bin Song

“…Methods This multicenter retrospective study included consecutive patients receiving pathological evaluation of liver fibrosis stage and contrast-enhanced liver MRI between March 2010 and January 2024. …”
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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Although recent applications of DL in hydrogeology have shown potential, many models are still in the testing phase due to limited hydrogeological data, the “black box” nature of DL models hindering interpretability, and the substantial computational resources needed for training. Furthermore, the lack of standardized evaluation benchmarks makes it difficult to compare the performance of different DL models in hydrogeological contexts. …”
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A quantitative study to evaluate the controls and accountability measures in place to alleviate the leadership and governance challenges impacting the realization of the National H... by Samuel Vuyo Mokoena, Panjasaram Naidoo

“…Methods The questionnaire was distributed via SurveyMonkey over a period of 2 months, and the data were analysed using R Statistical computing software of the R Core Team, 2020, version 3.6.3. …”
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Opportunistic Diagnostics of Dental Implants in Routine Clinical Photon-Counting CT Acquisitions by Maurice Ruetters, Holger Gehrig, Christian Mertens, Sinan Sen, Ti-Sun Kim, Heinz-Peter Schlemmer, Christian H. Ziener, Stefan Schoenberg, Matthias Froelich, Marc Kachelrieß, Stefan Sawall

“…Conventional CT scans, such as those of the cervical spine, have so far lacked the resolution to reliably evaluate dental structures or implants. This study evaluates the diagnostic utility of PCCT for visualizing peri-implant structures in routine clinical photon-counting CT acquisitions and assesses the influence of metal artifact reduction (MAR) algorithms on image quality. …”
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Epicardial Fat Tissue: A Potential Marker for Coronary Microvascular Dysfunction by Waiel Abusnina, Ilan Merdler, Matteo Cellamare, Kalyan R. Chitturi, Abhishek Chaturvedi, Irwin M. Feuerstein, Cheng Zhang, Sevket Tolga Ozturk, Teshome Deksissa, Vaishnavi Sawant, Kassandra Lopez, Lior Lupu, Dan Haberman, Itsik Ben‐Dor, Lowell F. Satler, Ron Waksman, Hayder D. Hashim, Brian C. Case

“…Patients with chest computed tomography within 1 year of CMD evaluation were included. …”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

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Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

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An automated measurement of head circumference using CT scans: An application in children with head abnormalities by Priscila Satomi Acamine, Rafael Maffei Loureiro, Lucas dos Anjos Longas, Fabio Augusto Ribeiro Dalpra, Luigi Villanova Machado de Barros Lago, Larissa Vasconcellos de Moraes, Paulo Cesar Filho Estevam, Luiz Otávio Vittorelli, Lucas Silva Kallás, Ana Paula Antunes Pascalicchio Bertozzi, Maria Isabel Barros Guinle, Gilberto Szarf, Saulo Duarte Passos, Birajara Soares Machado, Joselisa Péres Queiroz De Paiva

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Review of surface measurement methods towards nondestructive internal surface assessment by Kwan Zhi Teh, Saikat Medya, Sugandhana Shanmuganathan, Swee Hock Yeo

“…Non-destructive means are favored as they save materials and time, but a proper review of less-known available methods is first required to reveal and understand the proper means of evaluating internal surface non-destructively. This paper reviews the measurement methods of capacitance, vibration analysis, optical techniques, X-ray computed tomography, and replica methods critically with their working principles, pros and cons discussed. …”
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Fast Assessment of Rotor Barrier Dimensional Allowances in Synchronous Reluctance Machines by Carlos Madariaga, Cesar Gallardo, Juan A. Tapia, Werner Jara, Andres Escobar, Michele Degano

“…The proposed performance evaluation method is validated in four machines by direct finite element (FE) simulations, showing good agreement and low computational burden. …”
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Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery by Jiahao Bao, Zongcai Tan, Yifeng Sun, Xinyu Xu, Huazhen Liu, Weiyi Cui, Yang Yang, Mengjia Cheng, Yiming Wang, Congshuang Ku, Yuen Ka Ho, Jiayi Zhu, Linfeng Fan, Dahong Qian, Shunyao Shen, Yaofeng Wen, Hongbo Yu

“…ObjectivesAccurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully automatic multi-structure segmentation model based on deep ensemble learning.MethodsA total of 143 CMF computed tomography (CT) scans were retrospectively collected and manually annotated by experts for model training and validation. …”
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Machine Learning Models for Artist Classification of Cultural Heritage Sketches by Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop, Alecsandru Chirosca

“…The proposed tool provides a base for future improvements to create a tool that aids artwork evaluators.…”
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Research on the Parametric Design and Application of Ceramic Modeling Based on Python by Zhenjie Wang, Longyao Xu, Jing Dai, Chengqian Zeng, Yu Zhong, Liyan Liu, Shuanghua Wang

“…A model library of classic ceramic shapes is rapidly constructed, and ergonomic experiments further investigate the human–computer interaction mechanisms involved. The designs are optimized using fuzzy comprehensive evaluation for aesthetic appeal. …”
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