Confluence satellite image classification by Jorge Osvaldo Castillo-Pereyra, Fabián Rivera-Trejo, Hector Oswaldo Rubio-Arias

“…We considered the geometry (plan view) and the intersection angle as a key elements, and applied multivariate statistical analysys to did the clasification. …”
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Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis by Jorge Ramos-Frutos, Israel Miguel-Andres, Diego Oliva, Marco Perez-Cisneros, Teresa Alonso-Rasgado, Colin G. Bailey, Jose Francisco del Valle-Mojica

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Unsupervised process monitoring of corrosion based on electrochemical noise and multivariate image analysis by Ahmed Abdulmutaali, Chris Aldrich, Katerina Lepkova

“…In this investigation, a multivariate statistical process monitoring framework (MSPC) based on the use of deep learning models and principal component analysis (PCA) is proposed. …”
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Avocado fruit sorting by hyperspectral images by D. A. Metlenkin, R. A. Platova, Yu. T. Platov, O. V. Fedoseenko, O. V. Sadkova

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ESTIMATION OF TOMATO FRUIT FIRMNESS USING DIGITAL IMAGING by Anderson G. Costa, Layana A. da Silva, João C. L. de Carvalho, Túlio de A. Machado

“…This study aimed to use colorimetric characteristics extracted from digital images to estimate tomato fruit firmness through multivariate modeling. …”
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Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data by In-Seon Lee, Won-mo Jung, Hi-Joon Park, Younbyoung Chae

“…Participants received the stimuli at four different locations on the upper and lower limbs (two sites each) for 5 min while blood-oxygen-level-dependent activity (BOLD) was measured using 3-Tesla MRI. We performed multivariate pattern analysis (MVPA) using parameter estimate images of each trial for each participant and the support vector classifier (SVC) function, and the prediction accuracy and other MVPA outcomes were evaluated using stratified five-fold cross validation. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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Early detection of Zymoseptoria tritici infection on wheat leaves using hyperspectral imaging dataData INRAE by Lorraine Latchoumane, Martin Ecarnot, Ryad Bendoula, Jean-Michel Roger, Silvia Mas-Garcia, Heloïse Villesseche, Flora Tavernier, Maxime Ryckewaert, Nathalie Gorretta, Pierre Roumet, Elsa Ballini

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Decoding of spatial information of pain and tactile stimulus in the brain: a multivariate pattern analysis of functional magnetic resonance imaging data by In-Seon Lee, Dha-hyun Choi, Younbyoung Chae

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Analysis of dynamic contrast-enhanced T1-weighted imaging parameters in type II TIC breast lesions by Jimei Jiang, Weibin Ma, Ming Li, Shanhua Han, Yu Luo

“…Tp showed the most significant difference after a multivariable logistic regression analysis. The results suggest that DCE-T1WI semi-quantitative parameters can be used to predict malignant lesions in patients with type II TIC.…”
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Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning by Anil K. Pandey, Akshima Sharma, Param D. Sharma, Chandra S. Bal, Rakesh Kumar

“…The principal component analysis (PCA) of all the images was performed and the first 32 principal components (PCs) were retained as feature vectors of the image. …”
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An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

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A multivariate model of IVIM-DWI in the preoperative diagnosis of tumor budding grade in rectal cancer by Junyi Fu, Chenglong Zhao, Guangying Zheng, Aiyin Li, Gesheng Song

“…Significant differences between low-intermediate and high grade were found in f value (p = 0.001), DDC value (p < 0.001), age (p = 0.002), location (p = 0.047), and mesorectal fascia (MRF) (p = 0.01). Multivariate binary logistic regression analysis identified f, DDC, MRF, and age as independent risk factors (p < 0.05). …”
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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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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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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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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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