Improvements of birefringence imaging techniques to observe stress-induced ferroelectricity in SrTiO3 based on K-means clustering with circular statistics by Kensei Toyoda, Hirotaka Manaka, Yoko Miura

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Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging by Zihang Wang, Zihang Wang, Chang Yan, Chang Yan, Wenqing Yuan, Wenqing Yuan, Shuangyan Jiang, Shuangyan Jiang, Yongxiang Jiang, Ting Chen

“…ObjectiveThis study aimed to develop and validate a multivariate logistic regression model for predicting intracranial aneurysm (IA) rupture by integrating clinical data, aneurysm morphology, and parent artery characteristics using high-resolution vessel wall imaging (HR-VWI).MethodsA retrospective analysis was conducted on 298 patients with 386 aneurysms. …”
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Computational Workflow for the Characterization of Size, Shape, and Composition of Particles and Their Separation Behavior During Processing by Sabrina Weber, Orkun Furat, Tom Kirstein, Thomas Leißner, Urs A. Peuker, Volker Schmidt

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Changes in white matter microstructure in the brain of patients with inflammatory bowel disease are associated with abdominal pain by Lingqin Zhang, Lingqin Zhang, Wuli Tang, Ling Yang, Xinyan Wu, Xin Deng, Li Yu, Yan Liu, Kang Li, Kang Li

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Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between ¹¹C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease... by Atsushi Kawaguchi, Fumio Yamashita

“…To study the relationship between Aβ deposition and brain structure, as determined using ¹¹C-Pittsburgh compound B (PiB) and magnetic resonance imaging (MRI), respectively, we developed a regression model with PiB and MRI data as the predictor and response variables, respectively, and proposed a regression method for studying the association between them based on a supervised sparse multivariate analysis with dimension reduction based on a composite paired basis function. …”
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The power of pain: The temporal-spatial dynamics of empathy induced by body gestures and facial expressions by Xin Wang, Benjamin Becker, Shelley Xiuli Tong

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Identifying small thymomas from other asymptomatic anterior mediastinal nodules based on CT images using logistic regression by Wenfeng Feng, Runlong Lin, Wenzhe Zhao, Haifeng Cai, Jingwu Li, Yongliang Liu, Lixiu Cao, Lixiu Cao

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Impaired degree centrality and effective connectivity contributed to deficits in cognition and depression in patients with temporal lobe epilepsy by Bailing Qin, Shujun Su, Xuemei Chen, Yuting Sun, Qin Zhou, Huoyou Hu, Lu Qin, Jinou Zheng

“…Using degree centrality (DC), effective connectivity (EC), and multivariate pattern analysis (MVPA), we aimed to reveal alterations in brain networks and investigate neurofunctional symptoms in TLE patients. …”
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Machine learning empowered coherent Raman imaging and analysis for biomedical applications by Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee

“…Here, we present a comprehensive review of the latest advancements in the application of machine learning in the molecular spectroscopic imaging fields. We also discuss notable attributes of spectroscopic imaging modalities and explore their broader impact on other imaging techniques.…”
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Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. by Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger

“…Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conjugated primary antibodies incubated in intact tumor tissue slides. …”
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Comparative Analysis of Imaging Modalities for Surveillance on Outcomes in Patients With Hepatocellular Carcinoma by Ahmed El Sabagh, Islam Mohamed, Mazen ElSheikh, Megha Bhongade, Eunji Jo, Susan G. Hilsenbeck, Fasiha Kanwal, Prasun K. Jalal

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ANALISIS DISKRIMINAN, REGRESI LOGISTIK, NEURAL NETWORK DAN MARS PADA PENGKLASIFIKASIAN DATA by Thomas Pentury

“…The purpose of this research is to apply and compare the discriminant analysis, logistic regression, Neural Network (NN) and Multivariate Adaptive Regression Spline (MARS) at HBAT and IRIS data. …”
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Hyperspectral imaging for non-invasive blood oxygen saturation assessment by Jiangbo Wu

“…Hyperspectral Imaging (HSI) seamlessly integrates imaging and spectroscopy, capturing both spatial and spectral data concurrently. …”
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Automated underwater image analysis reveals sediment patterns and megafauna distribution in the tropical Atlantic by Benson Mbani, Jens Greinert

“…Here, we deployed two A.I workflows to automate the annotation of substrates and megafaunal taxa in seafloor images from the tropical North Atlantic. Clustering, feature space visualisation and multivariate statistical analysis techniques were used to classify the seafloor into habitats, estimate megafaunal distribution patterns, and to identify environmental drivers that influence observed patterns. …”
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Differential neural representations of syntactic and semantic information across languages in Chinese-English bilinguals by Zeqi Hou, Hehui Li, Lin Gao, Jian Ou, Min Xu

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Qualitative and Quantitative Computed Tomography Analyses of Lung Adenocarcinoma for Predicting Spread Through Air Spaces by Fumi Kameda, Yoshie Kunihiro, Masahiro Tanabe, Masatoshi Nakashima, Taiga Kobayashi, Toshiki Tanaka, Yoshinobu Hoshii, Katsuyoshi Ito

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Physiological and Anthropometric Factors Associated With Spine Loading Estimates From Imaging‐Based Subject‐Specific Musculoskeletal Models by Brett T. Allaire, Fjola Johannesdottir, Mary L. Bouxsein, Dennis E. Anderson

“…We identified multivariate predictive regression models for each PC and individual loading estimate. …”
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Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

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RGB-D Camera and Fractal-Geometry-Based Maximum Diameter Estimation Method of Apples for Robot Intelligent Selective Graded Harvesting by Bin Yan, Xiameng Li

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Sex estimation in a Chilean population by mandibular analysis in cone beam computed tomography images by F. Ceballos, N.F. Deana, N. Alves

“…The aim of this study was to estimate sex from metric analysis of the mandible in cone beam computed tomography images (CBCT) of adult Chilean individuals. …”
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