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Visual Computing for Industry, Biomedicine, and Art
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  1. In this study, a virtual-point concept was introduced into fiber-laser photoacoustic tomography to improve the elevational image resolution. The flexible fiber laser was bent into an arc shape to conform to th...

    Authors: Xue Bai, Xu Li, Jun Ma and Bai-Ou Guan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:4
    Content type: Original Article Published on:

  2. The elimination of intracranial hematomas has received widespread attention and the interactions between hemolytic agents and hematomas have become a hot research topic. In this study, we used the Navier-Stoke...

    Authors: Yafei Zhu, Mengyao Bao, Miaomiao Jiang, Jincai Chang and Jianzhong Cui
    Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:3
    Content type: Original Article Published on:

  3. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Mareike Fischer, Lina Herbst, Michelle Galla, Yangjing Long and Kristina Wicke
    Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:2
    Content type: Correction Published on:

    The original article was published in Visual Computing for Industry, Biomedicine, and Art 2020 3:12

  4. Laser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy ...

    Authors: Xiufeng Li, Victor T C Tsang, Lei Kang, Yan Zhang and Terence T W Wong
    Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:1
    Content type: Original Article Published on:

  5. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang and Sihua Yang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:30
    Content type: Correction Published on:

    The original article was published in Visual Computing for Industry, Biomedicine, and Art 2020 3:22

  6. Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal loss. Ventricles are one of the prominent structures in the brain; their shape changes, due to their c...

    Authors: Thirumagal Jayaraman, Sravan Reddy M., Manjunatha Mahadevappa, Anup Sadhu and Pranab Kumar Dutta
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:29
    Content type: Original Article Published on:

  7. 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 studie...

    Authors: Meng-Yun Wang, Anzhe Yuan, Juan Zhang, Yutao Xiang and Zhen Yuan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:28
    Content type: Original Article Published on:

  8. 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...

    Authors: Christopher Wiedeman, Ge Wang and Uwe Kruger
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:27
    Content type: Original Article Published on:

  9. 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), positr...

    Authors: Binny Naik, Ashir Mehta and Manan Shah
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:26
    Content type: Review Published on:

  10. 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...

    Authors: Biljana S. Jović and Anđela D. Mitić
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:25
    Content type: Original Article Published on:

  11. 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 pa...

    Authors: Shanshan Wang, Yunfeng Zhao and Ye Xu
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:24
    Content type: Review Published on:

  12. 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,...

    Authors: Zhen-Bao Fan and Kang Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:23
    Content type: Original Article Published on:

  13. 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 ...

    Authors: Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang and Sihua Yang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:22
    Content type: Original Article Published on:

    The Correction to this article has been published in Visual Computing for Industry, Biomedicine, and Art 2020 3:30

  14. 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 a...

    Authors: Pranav Parekh, Shireen Patel, Nivedita Patel and Manan Shah
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:21
    Content type: Review Published on:

  15. 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 i...

    Authors: Shoko Sawada, Takayuki Itoh, Takashi Misaka, Shigeru Obayashi, Tobias Czauderna and Kingsley Stephens
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:20
    Content type: Original Article Published on:

  16. 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...

    Authors: Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam and Durr Muhammad
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:19
    Content type: Original Article Published on:

  17. In this paper, we propose an efficient computational method for converting local coordinates to world coordinates using specially structured coordinate data. The problem in question is the computation of world...

    Authors: Andrea Bodonyi and Roland Kunkli
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:18
    Content type: Original Article Published on:

  19. Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. M...

    Authors: Gengsheng L. Zeng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:16
    Content type: Original Article Published on:

  20. We present a mixed reality-based assistive system for shading paper sketches. Given a paper sketch made by an artist, our interface helps inexperienced users to shade it appropriately. Initially, using a simpl...

    Authors: Amal Dev Parakkat, Hari Hara Gowtham, Sarang Joshi and Ramanathan Muthuganapathy
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:15
    Content type: Original Article Published on:

  21. In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and sto...

    Authors: Heng-Wei Wang, Zhen-Zhong Hu and Jia-Rui Lin
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:14
    Content type: Review Published on:

  22. A linear denoising filter is usually of lowpass type, and the main parameter in a lowpass filter is the cutoff frequency. The lowpass filters are normally shift invariant and can be implemented as convolution ...

    Authors: Gengsheng L. Zeng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:13
    Content type: Original Article Published on:

  23. Recently, so-called tree-based phylogenetic networks have attracted considerable attention. These networks can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The pri...

    Authors: Mareike Fischer, Michelle Galla, Lina Herbst, Yangjing Long and Kristina Wicke
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:12
    Content type: Original Article Published on:

    The Correction to this article has been published in Visual Computing for Industry, Biomedicine, and Art 2021 4:2

  24. Irregular fine protrusions formed on the surface of a mechanical part through biomimetic technology can enhance the part’s properties, including tribology, self-cleaning, and light absorption. However, underly...

    Authors: Sande Gao, Keijiro Nakasa and Loulin Huang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:11
    Content type: Original Article Published on:

  26. The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or tempo...

    Authors: Gengsheng L. Zeng and Edward V. DiBella
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:9
    Content type: Original Article Published on:

  27. In the original publication of this article [1], the Figs. 3 and 4 are not clear enough. They are adjusted the size and showed as below:

    Authors: Peeraya Sripian and Yasushi Yamaguchi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:8
    Content type: Correction Published on:

    The original article was published in Visual Computing for Industry, Biomedicine, and Art 2020 3:4

  28. With the rapid development of deep learning technology, behavior recognition based on video streams has made great progress in recent years. However, there are also some problems that must be solved: (1) In or...

    Authors: Lei Chen, Rui Liu, Dongsheng Zhou, Xin Yang and Qiang Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:7
    Content type: Original Article Published on:

  29. This review investigates the recent developments of heterogeneous objects modeling in additive manufacturing (AM), as well as general problems and widespread solutions to the modeling methods of heterogeneous ...

    Authors: Bin Li, Jianzhong Fu, Jiawei Feng, Ce Shang and Zhiwei Lin
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:6
    Content type: Review Published on:

  30. In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

    Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:5
    Content type: Original Article Published on:

  31. A hybrid image allows multiple image interpretations to be modulated by the viewing distance. Originally, it can be constructed by combining the low and high spatial frequencies of two different images. The or...

    Authors: Peeraya Sripian and Yasushi Yamaguchi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:4
    Content type: Original Article Published on:

    The Correction to this article has been published in Visual Computing for Industry, Biomedicine, and Art 2020 3:8

  32. Exploration of artworks is enjoyable but often time consuming. For example, it is not always easy to discover the favorite types of unknown painting works. It is not also always easy to explore unpopular paint...

    Authors: Ayaka Kaneko, Akiko Komatsu, Takayuki Itoh and Florence Ying Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:3
    Content type: Original Article Published on:

  33. Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accura...

    Authors: Qiuling Pan, Wei Zhu, Xiaolin Zhang, Jincai Chang and Jianzhong Cui
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:2
    Content type: Original Article Published on:

  34. To tackle challenges such as interference and poor accuracy of indoor positioning systems, a novel scheme based on ultra-wide bandwidth (UWB) technology is proposed. First, we illustrate a distance measuring m...

    Authors: Zhen Wei, Rui Jiang, Xing Wei, Yun-An Cheng, Lei Cheng and Cai Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:1
    Content type: Original Article Published on:

  36. Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the...

    Authors: Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt and Zhengrong Liang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:25
    Content type: Review Published on:

  37. Herein, a three-stage support vector machine (SVM) for facial expression recognition is proposed. The first stage comprises 21 SVMs, which are all the binary combinations of seven expressions. If one expressio...

    Authors: Issam Dagher, Elio Dahdah and Morshed Al Shakik
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:24
    Content type: Original Article Published on:

  38. 4-Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring, target motion tracking, treatment...

    Authors: You Zhang, Xiaokun Huang and Jing Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:23
    Content type: Original Article Published on:

  39. In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

    Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:22
    Content type: Original Article Published on:

  40. 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 ret...

    Authors: Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Houjiao Dai, Andrew K. C. Lam and Yongjin Zhou
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:21
    Content type: Original Article Published on:

  41. In the context of improved navigation for micro aerial vehicles, a new scene recognition visual descriptor, called spatial color gist wavelet descriptor (SCGWD), is proposed. SCGWD was developed by combining p...

    Authors: Anitha Ganesan and Anbarasu Balasubramanian
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:20
    Content type: Original Article Published on:

  42. Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulati...

    Authors: Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li and Yumei Huo
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:15
    Content type: Original Article Published on:

  43. It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...

    Authors: Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen and Baowei Fei
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:18
    Content type: Original Article Published on:

  44. Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further...

    Authors: Renee Cattell, Shenglan Chen and Chuan Huang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:19
    Content type: Original Article Published on:

  45. In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research...

    Authors: Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari and Gopichandh Danala
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:17
    Content type: Original Article Published on:

  46. Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the tissue heterogeneity, and has been recognized as important biomarkers in various clinical tasks. Spectral com...

    Authors: Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang and Zhengrong Liang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:16
    Content type: Original Article Published on:

  48. Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image tha...

    Authors: Gengsheng L. Zeng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:13
    Content type: Original Article Published on:

  49. 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-...

    Authors: Xingxing Chen, Weizhi Qi and Lei Xi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:12
    Content type: Original Article Published on:

  50. An error occurred during the publication of a number of articles Visual Computing for Industry, Biomedicine, and Art. Several articles were published in volume 2 with a duplicate citation number.

    Authors:
    Citation: Visual Computing for Industry, Biomedicine, and Art 2019 2:11
    Content type: Publisher Correction Published on:

    The original article was published in Visual Computing for Industry, Biomedicine, and Art 2019 2:5

    The original article was published in Visual Computing for Industry, Biomedicine, and Art 2019 2:4

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  • China Graphics Society (CGS) is a national, academic, and non-profit organization. It’s founded in 1980 and is affiliated to China Association for Science and Technology. CGS gathers a large number of renowned experts, scholars and science and technology in realm of graphics, with a membership of over 100,000 people. CGS is one of the initiators of International Society for Geometry and Graphics (ISGG), and is its group member. CGS has actively assigned delegations to attend the international Conference on Geometry and Graphics (ICGG) held by ISGG and successfully hosted ICGG in China for many times.

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