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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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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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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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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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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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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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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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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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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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…Using this understanding, we developed a generative model for Orbitrap data that accounts for the noise distribution and introduce a scaling method, termed WSoR, to reduce the effects of noise bias in multivariate analysis. We compare WSoR performance with no-scaling and existing scaling methods for three biological imaging data sets including drosophila central nervous system, mouse testis and a desorption electrospray ionisation (DESI) image of a rat liver. …”
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Multivariate neural markers of individual differences in thought control difficulties by Jacob DeRosa, Harry R. Smolker, Hyojeong Kim, Boman Groff, Jarrod Lewis-Peacock, Marie T. Banich

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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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Multivariate analysis of the exact effects of scalar position and insertion angle on speech discrimination by Rainer L. Beck, Antje Aschendorff, Susan Arndt, Manuel C. Ketterer

“…The aim of this study is to examine the exact impact of scalar position, dislocation and angular insertion depth on postoperative speech perception.DesignWe identified the patients (n = 531) implanted between 2003 and 2018 with a Contour Advance electrode array (CochlearTM) inserted via cochleostomy by a retrospective review of the Cochlear Implant Database and analyzed the postoperative imaging by cone beam computed tomography and the audiological protocol via a multivariate nonparametric analysis.ResultsThe multivariate nonparametric analysis of this study shows, that the dislocation of the electrode array and the insertion angle leads to no significant different postoperative speech discrimination results. …”
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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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Multivariate temperature-series analysis of stress-induced ferroelectricity in SrTiO3: a machine learning approach with K-shape clustering and hierarchical Bayesian estimation by Hirotaka Manaka, Kensei Toyoda, Yoko Miura

“…A new machine learning approach that transforms time-series analysis into temperature-series analysis is introduced to analyze stress-induced ferroelectricity in SrTiO3 at 231 MPa using birefringence images observed at successive temperatures. …”
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Comprehensive analysis of life quality of patients with vitiligo in Romania: insights from a multivariate approach by László Fekete, László Fekete, Vladimir Bacârea, Gyula László Fekete, Júlia Edit Fekete, Béla Kovács

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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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Neural signatures of acute stress on the intention and outcome in third-party punishment: Evidence from univariate and multivariate analysis by Jingjing Chang, Di Song, Ke Yang, Rongjun Yu

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Biclustering Multivariate Longitudinal Data with Application to Recovery Trajectories of White Matter After Sport-Related Concussion by Caleb Weaver, Luo Xiao, Qiuting Wen, Yu-Chien Wu, Jaroslaw Harezlak

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