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1Special issue “Photoacoustic imaging: microscopy, tomography, and their recent applications in biomedicine” in visual computation for industry, biomedicine, and art显示文摘Photoacoustic(PA)imaging is a promising non-invasive and non-ionizing biomedical imaging modality that emerged in recent years.The articles presented in this special issue describe some of newest progress in this field.We are extremely grateful to all contributing authors.The first part of the issue covers new laser source devel-opment,including fiber lasers and laser diodes.The sec-ond part is dedicated to improving the image resolution through chronic cranial window techniques,virtual-point concept,fast polygon scanning,and Fabry Perot sensing.The third part shows the basic principles of photoacous-tic/ultrasound imaging and its applications.Puxiang Lai Liming Nie Lidai Wang 2021Visual Computing for Industry,Biomedicine,and Art2021,4,1:3
2Giorgio Vasari’s Fine Arts From the Vite of 1550:The Splendor of Creativity and Design显示文摘Giorgio Vasari’s conception of artistic creativity is related to his theory of painting. He proposes two alternatives in a painter’s development or achievement of artistic creativity: imitation (imitazione) and invention (invenzione).Imitation is the copying of art as a method of learning, whereas invention is independent of imitation and constitutes the means for conceiving artistic ideas. Imitation serves to guide and teach the artist in composing and creating perfection. Vasari maintains that artists must study antiquity and the masters, so that they may learn how others acquired the experience of imitating nature. For Vasari, imitation draws upon three different sources: the first two are copying from nature (copia dal vero) and the third one is selecting from one’s work (imitare se stessi). He emphasizes that copying from nature is important for the artist so that he may learn to create forms that are alive as visualized in the Fine Arts.Liana De Girolami Cheney 2017Journal of Literature and Art Studies2017,7,2:3
3Viva Brasil显示文摘在创作了大量表现丰富情感和复杂感的作品的同时,创意热潮已经渐渐在巴西显露出来。平面设计界正等待着它们接下来会给世界带来什么东西……MARK PENFOLD ADHEMAS BATISTA(插画) 2006计算机光盘软件与应用(COMPUTER ARTS数码艺术)2006,,10:3
4用数码相机拍摄产品显示文摘产品摄影属于静物摄影的一种。它着力于画面的美感,质感与意境的追求.以真实的形象、巧妙的构思、诱人的情趣和娴熟的技巧展现所摄产品的某一整或表达某种特别的意念。作为摄影爱好者或者产品的网店店主,或算你没有准专业的拍摄环境和摄影器材,但只要用心,有简单的设备和巧妙的构思,也完全可以拍出完美的照片。由于产品摄影过程非常复杂,在这里我们只讲一下如何用数码相机拍摄产品。王硕 2007计算机光盘软件与应用(COMPUTER ARTS数码艺术)2007,,7:2
5The Fragmentation of the Female Selfhood in The Flight From the Enchanter显示文摘XU Ming-ying SUI Xiao-di AN Xue-hua 2014Journal of Literature and Art Studies2014,4,5:2
6Cultural Model in Chinese-to-English Translation: A Case Study of Guizhou's Local Culture显示文摘XIAO Tang-jin XIAO Zhi-peng 2018Journal of Literature and Art Studies2018,8,2:2
7An efficient data structure for calculation of unstructured T-spline surfaces显示文摘To overcome the topological constraints of non-uniform rational B-splines,T-splines have been proposed to define the freeform surfaces.The introduction of T-junctions and extraordinary points makes it possible to represent arbitrarily shaped models by a single T-spline surface.Whereas,the complexity and flexibility of topology structure bring difficulty in programming,which have caused a great obstacle for the development and application of T-spline technologies.So far,research literatures concerning T-spline data structures compatible with extraordinary points are very scarce.In this paper,an efficient data structure for calculation of unstructured T-spline surfaces is developed,by which any complex T-spline surface models can be easily and efficiently computed.Several unstructured T-spline surface models are calculated and visualized in our prototype system to verify the validity of the proposed method.Wei Wang Yang Zhang Xiaoxiao Du Gang Zhao 2019Visual Computing for Industry,Biomedicine,and Art2019,2,1:2
8Coping With Teacher Demotivation Toward Directed Motivational Currents显示文摘Toshiko Sugino Emika Abe Mami Ueda 2017Journal of Literature and Art Studies2017,7,5:2
9Nwomu: Hand-Made Embroidery Technique in Asanteland显示文摘Emmanuel Kodwo Amissah Bernard Asumeng Amoako Osuanyi Quaicoo Essel 2016Journal of Literature and Art Studies2016,6,5:2
10Brief review of image denoising techniques显示文摘With the explosion in the number of digital images taken every day,the demand for more accurate and visually pleasing images is increasing.However,the images captured by modern cameras are inevitably degraded by noise,which leads to deteriorated visual image quality.Therefore,work is required to reduce noise without losing image features(edges,corners,and other sharp structures).So far,researchers have already proposed various methods for decreasing noise.Each method has its own advantages and disadvantages.In this paper,we summarize some important research in the field of image denoising.First,we give the formulation of the image denoising problem,and then we present several image denoising techniques.In addition,we discuss the characteristics of these techniques.Finally,we provide several promising directions for future research.Linwei Fan Fan Zhang Hui Fan Caiming Zhang 2019Visual Computing for Industry,Biomedicine,and Art2019,2,1:2
11Opera Translation and Globalization of Chinese Local Culture: A Case Study of Wuxi Opera显示文摘ZANG Hui-qian SUN Zhi-xiang XIANG Yu-xin 2017Journal of Literature and Art Studies2017,7,8:2
12Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy显示文摘In this study,we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy(OR-PAM).The method is a convolutional neural network that establishes an end-to-end map from input raw data with motion artifacts to output corrected images.First,we performed simulation studies to evaluate the feasibility and effectiveness of the proposed method.Second,we employed this method to process images of rat brain vessels with multiple motion artifacts to evaluate its performance for in vivo applications.The results demonstrate that this method works well for both large blood vessels and capillary networks.In comparison with traditional methods,the proposed method in this study can be easily modified to satisfy different scenarios of motion corrections in OR-PAM by revising the training sets.Xingxing Chen Weizhi Qi Lei Xi 2019Visual Computing for Industry,Biomedicine,and Art2019,2,1:2
13Ezra Pound's Conversion to Confucianism显示文摘TAN Xiao-cui 2014Journal of Literature and Art Studies2014,4,3:2
14Chinese-to-English Translation of Publicity on Chinese Minority Culture: Discourse Ideology and Translation Strategies显示文摘XIAO Tang-jin XIAO Zhi-peng 2017Journal of Literature and Art Studies2017,7,10:2
15Contemporary Chinese Calligraphy Between Tradition and Innovation显示文摘Adriana Iezzi 2013Journal of Literature and Art Studies2013,3,3:2
16Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning显示文摘An accurate segmentation and quantification of the superficial foveal avascular zone(sFAZ)is important to facilitate the diagnosis and treatment of many retinal diseases,such as diabetic retinopathy and retinal vein occlusion.We proposed a method based on deep learning for the automatic segmentation and quantification of the sFAZ in optical coherence tomography angiography(OCTA)images with robustness to brightness and contrast(B/C)variations.A dataset of 405 OCTA images from 45 participants was acquired with Zeiss Cirrus HD-OCT 5000 and the ground truth(GT)was manually segmented subsequently.A deep learning network with an encoder–decoder architecture was created to classify each pixel into an sFAZ or non-sFAZ class.Subsequently,we applied largestconnected-region extraction and hole-filling to fine-tune the automatic segmentation results.A maximum mean dice similarity coefficient(DSC)of 0.976±0.011 was obtained when the automatic segmentation results were compared against the GT.The correlation coefficient between the area calculated from the automatic segmentation results and that calculated from the GT was 0.997.In all nine parameter groups with various brightness/contrast,all the DSCs of the proposed method were higher than 0.96.The proposed method achieved better performance in the sFAZ segmentation and quantification compared to two previously reported methods.In conclusion,we proposed and successfully verified an automatic sFAZ segmentation and quantification method based on deep learning with robustness to B/C variations.For clinical applications,this is an important progress in creating an automated segmentation and quantification applicable to clinical analysis.Menglin Guo Mei Zhao Allen M.Y.Cheong Houjiao Dai Andrew K.C.Lam Yongjin Zhou 2019Visual Computing for Industry,Biomedicine,and Art2019,2,1:2
17Acute renal failure and muhip le organ dys2 function inthe ICU: from renal replaeement therapy (RRT) to muhip le organ support therapy (MOST) 显示文摘Ronco C Bellomo R 2002Int J Art Org2002,25,:1
18Progress on the WIPO Broadcasting and Webcasting Treaty显示文摘MATTHEW D A 2006Cardozo Arts &Ent2006,,24:1
19The property and application of polyaniline films modified platinum electrodes doped with tannic acid显示文摘JIANG L SUN Y X ZHOU G Z 2007Hunan University of Arts and Science2007,19,1:1
20Chemical hazards to agricultural workers显示文摘 Tong T 1991Occupational Medicine:State of the Art Reviews1991,6,3:1
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