The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules by Zuhua Song, Qian Liu, Jie Huang, Dan Zhang, Jiayi Yu, Bi Zhou, Jiang Ma, Ya Zou, Yuwei Chen, Zhuoyue Tang

“…Predictive performance was evaluated via receiver operating characteristic (ROC) curve analysis. …”
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CT radiomics from intratumor and peritumor regions for predicting poorly differentiated invasive nonmucinous pulmonary adenocarcinoma by Lijun Duan, Wenyun Liu, Mingyang Li, Liang Guo, Mengran Ren, Xin Dong, Xiaoqian Lu, Dianbo Cao

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A two-step automatic identification of contrast phases for abdominal CT images based on residual networks by Qianhe Liu, Jiahui Jiang, Kewei Wu, Yan Zhang, Nan Sun, Jiawen Luo, Te Ba, Aiqing Lv, Chuane Liu, Yiyu Yin, Zhenghan Yang, Hui Xu

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The role of imaging in defining cardiovascular risk to help cancer patient management: a scoping review by Roberto Farì, Giulia Besutti, Pierpaolo Pattacini, Guido Ligabue, Francesco Piroli, Francesca Mantovani, Alessandro Navazio, Mario Larocca, Carmine Pinto, Paolo Giorgi Rossi, Luigi Tarantini

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Risk stratification of thymic epithelial tumors based on peritumor CT radiomics and semantic features by Lin Zhang, Zhihan Xu, Yan Feng, Zhijie Pan, Qinyao Li, Ai Wang, Yanfei Hu, Xueqian Xie

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Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study by Zijun Song, Liyong Zhuo, Jiawei Hao, Huan Meng, Tianda Wang, Jian Zhang

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CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study by Mengge He, Rahul Singh, Mandi Wang, Grace Ho, Esther M. F. Wong, Keith W. H. Chiu, Anthony K. T. Leung, Ka Yu Tse, Philip P. C. Ip, Andy Hwang, Lujun Han, Elaine Y. P. Lee

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Identifying mating events of group-housed broiler breeders via bio-inspired deep learning models by Venkat U.C. Bodempudi, Guoming Li, J. Hunter Mason, Jeanna L. Wilson, Tianming Liu, Khaled M. Rasheed

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A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake by Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J. Yoo, Luca Giancardo, Sunil A. Sheth, Jerome A. Jeevarajan

“…Reproducible imaging metrics that account for the degree of hypo-attenuation on non-contrast computed tomography (NCCT) may be better suited to guide treatments. …”
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CT radiomics and human-machine hybrid system for differentiating mediastinal lymphomas from thymic epithelial tumors by Han Xia, Jiahui Yu, Kehui Nie, Jun Yang, Li Zhu, Shengjian Zhang

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Based on CT scans at the 12th thoracic spine level, assessing the impact of skeletal muscle and adipose tissue index on one-year postoperative mortality in elderly hip fracture pat... by En-li Li, Jia-sen Hu, Zi-hao Chen, Run-xun Ma, Chen Jin, Yi-tian Bu, Si-xiang Feng, Cheng-bin Huang, Ya-ping Jin, Lei Yang

“…Therefore, this study aimed to prove whether skeletal muscle and adipose tissue index measured by computed tomography (CT) images based on a single layer are associated with one-year postoperative mortality in elderly hip fracture patients. …”
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Assessing thermal and hydrodynamic performance of non-Newtonian nano-coolant flow through a porous backward-facing step channel with non-Darcian effects by Zarin Akter, Preetom Nag, Hasina Akter, Md. Mamun Molla, Goutam Saha

“…The Darcy–Brinkman–Forchheimer (DBF) porous model, incorporating non-Newtonian viscous NC flow, has been numerically solved within the computational domain using a finite volume method with second-order accuracy. …”
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Designing an Interactive Visual Analytics System for Precipitation Data Analysis by Dong Hyun Jeong, Pradeep Behera, Bong Keun Jeong, Carlos David Luna Sangama, Bryan Higgs, Soo-Yeon Ji

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Approaches to modeling cancer metastasis: from bench to bedside by Leiyu Sun, Yajuan Zhou, Maoxu Yin, Fei Wang, Lijuan Yang

“…Cancer metastasis modeling requires multidisciplinary approaches that integrate experimental, computational, and clinical research to unravel the complexities of cancer spread). …”
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Assessing the performance of physical transposition models in photovoltaic power forecasting: A comprehensive micro and macro accuracy analysis by Eslam Mahmoudi, João Lucas de Souza Silva, Tárcio André dos Santos Barros

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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…This model analyzes an RGB image derived from the grayscale distribution to automatically select the optimal path and determine the needle entry point. The experimental evaluation demonstrates an average computation time of just 1.905 s per sample, which is significantly faster than traditional methods that require seconds to minutes. …”
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Traffic Load Impact on the Initiation and Development of Plastic Deformations in Road Asphalt Pavements by Laura Žiliūtė, Alfredas Laurinavičius

“…The up-to-date road pavement structure research methods and application computer programmes are based on the theory of elasticity. …”
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Examining The Impact of Various Factors on Working From Home by Muhammad Fajar Nugroho

“…This study focuses on identifying these factors by examining six key variables: the availability of computers and internet networks, the ability to master technology and information, HR governance rules, organizational culture, performance evaluation instruments, and the physical conditions of the working environment. …”
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Graph Knowledge-Enhanced Iterated Greedy Algorithm for Hybrid Flowshop Scheduling Problem by Yingli Li, Biao Zhang, Kaipu Wang, Liping Zhang, Zikai Zhang, Yong Wang

“…By integrating the rapid evaluation technique, it becomes feasible to identify promising regions within a constrained timeframe. …”
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Biowastes as sustainable catalysts for water treatment: A comprehensive overview by Hirpha Adugna Areti, Abas Siraj Hamda, Lata Deso Abo, Abdisa Jabesa, Melkiyas Diriba Muleta

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