Visual Computing for Industry, Biomedicine, and Art最新文献

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Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation. 功能近红外光谱可以检测稳态视觉诱发电位诱导的周期性面部表情刺激呈现过程中前额叶皮层低频血流动力学振荡。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-12-01 DOI: 10.1186/s42492-020-00065-7
Meng-Yun Wang, Anzhe Yuan, Juan Zhang, Yutao Xiang, Zhen Yuan
{"title":"Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation.","authors":"Meng-Yun Wang,&nbsp;Anzhe Yuan,&nbsp;Juan Zhang,&nbsp;Yutao Xiang,&nbsp;Zhen Yuan","doi":"10.1186/s42492-020-00065-7","DOIUrl":"https://doi.org/10.1186/s42492-020-00065-7","url":null,"abstract":"<p><p>Brain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studied in cognition, the neural mechanisms underlying low-frequency hemodynamic oscillations (LFHO) < 1 Hz have not yet been fully explored. One way to examine oscillatory neural dynamics is to use a facial expression (FE) paradigm to induce steady-state visual evoked potentials (SSVEPs), which has been used in electroencephalography studies of high-frequency brain oscillation activity. In this study, LFHO during SSVEP-inducing periodic flickering stimuli presentation were inspected using functional near-infrared spectroscopy (fNIRS), in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 Hz. The fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels, indicating that the periodic events successfully elicited LFHO in the prefrontal cortex. More importantly, measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions, with happy FE presentation showing greater LFHO power than neutral FE presentation. These results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex, which provides new insights into the cognitive mechanisms involved in slow oscillation.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"28"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00065-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38660266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Modeling of moral decisions with deep learning. 用深度学习建模道德决策。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-11-20 DOI: 10.1186/s42492-020-00063-9
Christopher Wiedeman, Ge Wang, Uwe Kruger
{"title":"Modeling of moral decisions with deep learning.","authors":"Christopher Wiedeman,&nbsp;Ge Wang,&nbsp;Uwe Kruger","doi":"10.1186/s42492-020-00063-9","DOIUrl":"https://doi.org/10.1186/s42492-020-00063-9","url":null,"abstract":"<p><p>One example of an artificial intelligence ethical dilemma is the autonomous vehicle situation presented by Massachusetts Institute of Technology researchers in the Moral Machine Experiment. To solve such dilemmas, the MIT researchers used a classic statistical method known as the hierarchical Bayesian (HB) model. This paper builds upon previous work for modeling moral decision making, applies a deep learning method to learn human ethics in this context, and compares it to the HB approach. These methods were tested to predict moral decisions of simulated populations of Moral Machine participants. Overall, test results indicate that deep neural networks can be effective in learning the group morality of a population through observation, and outperform the Bayesian model in the cases of model mismatches.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"27"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00063-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38718525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease. 阿尔茨海默病的机器学习和多模态诊断分类的启示。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-11-05 DOI: 10.1186/s42492-020-00062-w
Binny Naik, Ashir Mehta, Manan Shah
{"title":"Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease.","authors":"Binny Naik, Ashir Mehta, Manan Shah","doi":"10.1186/s42492-020-00062-w","DOIUrl":"10.1186/s42492-020-00062-w","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is the most common type of dementia. The exact cause and treatment of the disease are still unknown. Different neuroimaging modalities, such as magnetic resonance imaging (MRI), positron emission tomography, and single-photon emission computed tomography, have played a significant role in the study of AD. However, the effective diagnosis of AD, as well as mild cognitive impairment (MCI), has recently drawn large attention. Various technological advancements, such as robots, global positioning system technology, sensors, and machine learning (ML) algorithms, have helped improve the diagnostic process of AD. This study aimed to determine the influence of implementing different ML classifiers in MRI and analyze the use of support vector machines with various multimodal scans for classifying patients with AD/MCI and healthy controls. Conclusions have been drawn in terms of employing different classifier techniques and presenting the optimal multimodal paradigm for the classification of AD.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38570876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploration of nature-based biomimetic approach in landscape architectural design: parametric study of candelabra model design. 景观建筑设计中基于自然的仿生方法的探索:烛台模型设计的参数化研究。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-11-04 DOI: 10.1186/s42492-020-00060-y
Biljana S Jović, Anđela D Mitić
{"title":"Exploration of nature-based biomimetic approach in landscape architectural design: parametric study of candelabra model design.","authors":"Biljana S Jović,&nbsp;Anđela D Mitić","doi":"10.1186/s42492-020-00060-y","DOIUrl":"https://doi.org/10.1186/s42492-020-00060-y","url":null,"abstract":"<p><p>This research provides an exploration of a biomimetic approach in the process of designing a candelabra model using linear shaped leaves of a Bell flower. The design process described in this research contains two steps: biological and geometrical. In the first biological step, a proper model for the creation of an urban element was found from nature in a Bell flower (Campanula persicifolia L.). The upper leaves of the selected plant, which are small with a linear spear and sharpening at the top, were chosen for the modeling process. The second step included applying two geometrical methods, i.e., Voronoi diagrams and Delaunay triangulation. A geometrical leaf form of the selected plant species and the modeling process were obtained using aparametric modeling software, Blender. Using different Blender plug-ins and modifiers, Delaunay triangulation and Voronoi diagram were implemented by marking the starting points on the leaf form in the image data source, adjusting the Delaunay triangulation parameters, and creating Voronoi diagrams in which the Voronoi points were located at the shortest distance from the edges of the Voronoi polygon. Consequently, a three dimensional model of a candelabra was developed through this study.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"25"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00060-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38659650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology. 多模式超声引导光声成像技术应用的最新进展。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-10-21 DOI: 10.1186/s42492-020-00061-x
Shanshan Wang, Yunfeng Zhao, Ye Xu
{"title":"Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology.","authors":"Shanshan Wang, Yunfeng Zhao, Ye Xu","doi":"10.1186/s42492-020-00061-x","DOIUrl":"10.1186/s42492-020-00061-x","url":null,"abstract":"<p><p>Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575676/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38511536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visual order of Chinese ink paintings. 中国水墨画的视觉秩序
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-10-12 DOI: 10.1186/s42492-020-00059-5
Zhen-Bao Fan, Kang Zhang
{"title":"Visual order of Chinese ink paintings.","authors":"Zhen-Bao Fan,&nbsp;Kang Zhang","doi":"10.1186/s42492-020-00059-5","DOIUrl":"https://doi.org/10.1186/s42492-020-00059-5","url":null,"abstract":"<p><p>Visual order is one of the key factors influencing the aesthetic judgment of artworks. This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings, using a regression model. We use nine contemporary artists' paintings as examples and extract features related to the visual order of their paintings. A questionnaire survey is conducted to collect people's rating scores on the visual order. Via regression modeling, our research analyzes the significance of each feature and validates the influences of the features on the visual order.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00059-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38477100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy. 基于微机电系统的光声显微镜降维重建中的空间权重矩阵。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-09-30 DOI: 10.1186/s42492-020-00058-6
Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang, Sihua Yang
{"title":"Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy.","authors":"Yuanzheng Ma,&nbsp;Chang Lu,&nbsp;Kedi Xiong,&nbsp;Wuyu Zhang,&nbsp;Sihua Yang","doi":"10.1186/s42492-020-00058-6","DOIUrl":"https://doi.org/10.1186/s42492-020-00058-6","url":null,"abstract":"<p><p>A micro-electromechanical system (MEMS) scanning mirror accelerates the raster scanning of optical-resolution photoacoustic microscopy (OR-PAM). However, the nonlinear tilt angular-voltage characteristic of a MEMS mirror introduces distortion into the maximum back-projection image. Moreover, the size of the airy disk, ultrasonic sensor properties, and thermal effects decrease the resolution. Thus, in this study, we proposed a spatial weight matrix (SWM) with a dimensionality reduction for image reconstruction. The three-layer SWM contains the invariable information of the system, which includes a spatial dependent distortion correction and 3D deconvolution. We employed an ordinal-valued Markov random field and the Harris Stephen algorithm, as well as a modified delay-and-sum method during a time reversal. The results from the experiments and a quantitative analysis demonstrate that images can be effectively reconstructed using an SWM; this is also true for severely distorted images. The index of the mutual information between the reference images and registered images was 70.33 times higher than the initial index, on average. Moreover, the peak signal-to-noise ratio was increased by 17.08% after 3D deconvolution. This accomplishment offers a practical approach to image reconstruction and a promising method to achieve a real-time distortion correction for MEMS-based OR-PAM.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00058-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38436344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Systematic review and meta-analysis of augmented reality in medicine, retail, and games. 对增强现实技术在医疗、零售和游戏中的应用进行系统回顾和荟萃分析。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-09-16 eCollection Date: 2020-12-01 DOI: 10.1186/s42492-020-00057-7
Pranav Parekh, Shireen Patel, Nivedita Patel, Manan Shah
{"title":"Systematic review and meta-analysis of augmented reality in medicine, retail, and games.","authors":"Pranav Parekh, Shireen Patel, Nivedita Patel, Manan Shah","doi":"10.1186/s42492-020-00057-7","DOIUrl":"10.1186/s42492-020-00057-7","url":null,"abstract":"<p><p>This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves and enhances the user experience in entertainment, medicine, and retail. The authors briefly introduce the topic of AR and discuss its differences from virtual reality. They also explain the software and hardware technologies required for implementing an AR system and the different types of displays required for enhancing the user experience. The growth of AR in markets is also briefly discussed. In the three sections of the paper, the applications of AR are discussed. The use of AR in multiplayer gaming, computer games, broadcasting, and multimedia videos, as an aspect of entertainment and gaming is highlighted. AR in medicine involves the use of AR in medical healing, medical training, medical teaching, surgery, and post-medical treatment. AR in retail was discussed in terms of its uses in advertisement, marketing, fashion retail, and online shopping. The authors concluded the paper by detailing the future use of AR and its advantages and disadvantages in the current scenario.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 ","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492097/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38400387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Streamline pair selection for comparative flow field visualization. 流线副选择的比较流场可视化。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-08-27 DOI: 10.1186/s42492-020-00056-8
Shoko Sawada, Takayuki Itoh, Takashi Misaka, Shigeru Obayashi, Tobias Czauderna, Kingsley Stephens
{"title":"Streamline pair selection for comparative flow field visualization.","authors":"Shoko Sawada,&nbsp;Takayuki Itoh,&nbsp;Takashi Misaka,&nbsp;Shigeru Obayashi,&nbsp;Tobias Czauderna,&nbsp;Kingsley Stephens","doi":"10.1186/s42492-020-00056-8","DOIUrl":"https://doi.org/10.1186/s42492-020-00056-8","url":null,"abstract":"<p><p>Fluid dynamics simulation is often repeated under varying conditions. This leads to a generation of large amounts of results, which are difficult to compare. To compare results under different conditions, it is effective to overlap the streamlines generated from each condition in a single three-dimensional space. Streamline is a curved line, which represents a wind flow. This paper presents a technique to automatically select and visualize important streamlines that are suitable for the comparison of the simulation results. Additionally, we present an implementation to observe the flow fields in virtual reality spaces.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2020-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00056-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38410295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Conversion of adverse data corpus to shrewd output using sampling metrics. 利用抽样指标将不利的数据语料库转换为精明的输出。
4区 计算机科学
Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-08-11 DOI: 10.1186/s42492-020-00055-9
Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam, Durr Muhammad
{"title":"Conversion of adverse data corpus to shrewd output using sampling metrics.","authors":"Shahzad Ashraf,&nbsp;Sehrish Saleem,&nbsp;Tauqeer Ahmed,&nbsp;Zeeshan Aslam,&nbsp;Durr Muhammad","doi":"10.1186/s42492-020-00055-9","DOIUrl":"https://doi.org/10.1186/s42492-020-00055-9","url":null,"abstract":"<p><p>An imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority class (frequently occurring) more than the other minority classes (rarely occurring). Training with an imbalanced dataset poses challenges for classifiers; however, applying suitable techniques for reducing class imbalance issues can enhance classifiers' performance. In this study, we consider an imbalanced dataset from an educational context. Initially, we examine all shortcomings regarding the classification of an imbalanced dataset. Then, we apply data-level algorithms for class balancing and compare the performance of classifiers. The performance of the classifiers is measured using the underlying information in their confusion matrices, such as accuracy, precision, recall, and F measure. The results show that classification with an imbalanced dataset may produce high accuracy but low precision and recall for the minority class. The analysis confirms that undersampling and oversampling are effective for balancing datasets, but the latter dominates.</p>","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2020-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00055-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38249992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
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