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  1. This study addresses a limitation of prior research on pectoralis major (PMaj) thickness changes during the pectoralis fly exercise using a wearable ultrasound imaging setup. Although previous studies used man...

    Authors: Shangyu Cai, Yongsheng Lin, Haoxin Chen, Zihao Huang, Yongjin Zhou and Yongping Zheng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:8
  2. This study proposes an image-based three-dimensional (3D) vector reconstruction of industrial parts that can generate non-uniform rational B-splines (NURBS) surfaces with high fidelity and flexibility. The con...

    Authors: Zhenxing Xu, Aizeng Wang, Fei Hou and Gang Zhao
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:7
  3. Cardiovascular disease, primarily caused by atherosclerotic plaque formation, is a significant health concern. The early detection of these plaques is crucial for targeted therapies and reducing the risk of ca...

    Authors: Linyuan Wang, Xiaofeng Zhang, Congyu Tian, Shu Chen, Yongzhi Deng, Xiangyun Liao, Qiong Wang and Weixin Si
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:6
  4. Flipover, an enhanced dropout technique, is introduced to improve the robustness of artificial neural networks. In contrast to dropout, which involves randomly removing certain neurons and their connections, f...

    Authors: Yuxuan Liang, Chuang Niu, Pingkun Yan and Ge Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:4
  5. Alzheimer’s disease (AD) is a neurological disorder that predominantly affects the brain. In the coming years, it is expected to spread rapidly, with limited progress in diagnostic techniques. Various machine ...

    Authors: Sazia Parvin, Sonia Farhana Nimmy and Md Sarwar Kamal
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:3
  6. Nowadays, inspired by the great success of Transformers in Natural Language Processing, many applications of Vision Transformers (ViTs) have been investigated in the field of medical image analysis including b...

    Authors: Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy and Hamid Tairi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:2

    The Correction to this article has been published in Visual Computing for Industry, Biomedicine, and Art 2024 7:5

  7. This study aimed to comprehensively evaluate non-contrast computed tomography (CT)-based radiomics for predicting early outcomes in patients with severe atherosclerotic renal artery stenosis (ARAS) after percu...

    Authors: Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong and Yinghua Zou
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:1
  8. The traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB descriptors do not distinguish features well in capsule endosc...

    Authors: Dingchang Wu, Yinghui Wang, Haomiao Ma, Lingyu Ai, Jinlong Yang, Shaojie Zhang and Wei Li
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:24
  9. Although prognostic prediction of nasopharyngeal carcinoma (NPC) remains a pivotal research area, the role of dynamic contrast-enhanced magnetic resonance (DCE-MR) has been less explored. This study aimed to i...

    Authors: Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian and Feng Chen
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:23
  10. Deep neural networks are vulnerable to attacks from adversarial inputs. Corresponding attack research on human pose estimation (HPE), particularly for body joint detection, has been largely unexplored. Transfe...

    Authors: Fuchang Liu, Shen Zhang, Hao Wang, Caiping Yan and Yongwei Miao
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:22
  11. Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been widely used for fact prediction. However,...

    Authors: Fangfang Zhou, Jiapeng Mi, Beiwen Zhang, Jingcheng Shi, Ran Zhang, Xiaohui Chen, Ying Zhao and Jian Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:21
  12. Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high...

    Authors: Haoyan Zhang, Zheling Meng, Jinyu Ru, Yaqing Meng and Kun Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:20
  13. Waste pollution is a significant environmental problem worldwide. With the continuous improvement in the living standards of the population and increasing richness of the consumption structure, the amount of d...

    Authors: Dashun Zheng, Rongsheng Wang, Yaofei Duan, Patrick Cheong-Iao Pang and Tao Tan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:19
  14. Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching. This paper proposes a novel feature descrip...

    Authors: Jiong Yang, Jian Zhang, Zhengyang Cai and Dongyang Fang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:18
  15. This study aims to discriminate between leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis and gamma-aminobutyric acid B (GABAB) receptor antibody encephalitis using a convolutional neural network ...

    Authors: Jian Pan, Ruijuan Lv, Qun Wang, Xiaobin Zhao, Jiangang Liu and Lin Ai
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:17
  16. Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on medical examinations and patient symptoms are the biggest challenges in medicine. About 17.9 million people die from CVD...

    Authors: Jayson Saputra, Cindy Lawrencya, Jecky Mitra Saini and Suharjito Suharjito
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:16
  17. Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift towar...

    Authors: Mriganka Sarmah, Arambam Neelima and Heisnam Rohen Singh
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:15
  18. The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital me...

    Authors: Khalid Al-hammuri, Fayez Gebali, Awos Kanan and Ilamparithi Thirumarai Chelvan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:14
  19. Sputum smear tests are critical for the diagnosis of respiratory diseases. Automatic segmentation of bacteria from sputum smear images is important for improving diagnostic efficiency. However, this remains a ...

    Authors: Jingkun Wang, Xinyu Ma, Long Cao, Yilin Leng, Zeyi Li, Zihan Cheng, Yuzhu Cao, Xiaoping Huang and Jian Zheng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:13
  20. More diverse data on animal ecology are now available. This “data deluge” presents challenges for both biologists and computer scientists; however, it also creates opportunities to improve analysis and answer ...

    Authors: Ying Zhang, Karsten Klein, Falk Schreiber and Kamran Safi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:11
  21. As one of the most important applications of digitalization, intelligence, and service, the digital twin (DT) breaks through the constraints of time, space, cost, and security on physical entities, expands and...

    Authors: Jun-Feng Yao, Yong Yang, Xue-Cheng Wang and Xiao-Peng Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:10
  22. The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experimen...

    Authors: Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang and Christopher T. Whitlow
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:9
  23. In recent years, deep learning techniques have been used to estimate gaze—a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting...

    Authors: Jinchao Zhou, Guoan Li, Feng Shi, Xiaoyan Guo, Pengfei Wan and Miao Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:8
  24. Based on the existing plant layout and process flow, a simulation analysis was conducted using the Plant Simulation platform with the utilization efficiency of each station and production capacity of the disma...

    Authors: Hai-Qing Chen, Yu-De Dong, Fei Hu, Ming-Ming Liu and Shi-Bao Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:7
  25. Gears play an important role in virtual manufacturing systems for digital twins; however, the image of gear tooth defects is difficult to acquire owing to its non-convex shape. In this study, a deep learning n...

    Authors: Zhenxing Xu, Aizeng Wang, Fei Hou and Gang Zhao
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:6
  26. Vision-simulated imagery―the process of generating images that mimic the human visual system―is a valuable tool with a wide spectrum of possible applications, including visual acuity measurements, personalized...

    Authors: István Csoba and Roland Kunkli
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:5
  27. This study presents a robustness optimization method for rapid prototyping (RP) of functional artifacts based on visualized computing digital twins (VCDT). A generalized multiobjective robustness optimization ...

    Authors: Jinghua Xu, Kunqian Liu, Linxuan Wang, Hongshuai Guo, Jiangtao Zhan, Xiaojian Liu, Shuyou Zhang and Jianrong Tan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:4
  28. Over recent years, the importance of the patent literature has become increasingly more recognized in the academic setting. In the context of artificial intelligence, deep learning, and data sciences, patents ...

    Authors: Qingsong Yang, Donna L. Lizotte, Wenxiang Cong and Ge Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:3
  29. Thermal ablation procedures, such as high intensity focused ultrasound and radiofrequency ablation, are often used to eliminate tumors by minimally invasively heating a focal region. For this task, real-time 3...

    Authors: Nathan Wang, Mengzhou Li and Petteri Haverinen
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:2
  30. In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may...

    Authors: Min Li, Hongshu Li, Weiliang Meng, Jian Zhu and Gary Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2023 6:1
  31. Visual arts refer to art experienced primarily through vision. 3D visual optical art is one of them. Artists use their rich imagination and experience to combine light and objects to give viewers an unforgetta...

    Authors: Kang Wu, Xiao-Ming Fu, Renjie Chen and Ligang Liu
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:31
  32. Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL....

    Authors: Lin Fu and Bruno De Man
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:30
  33. This review paper aims to summarize cardiac CT blooming artifacts, how they present clinically and what their root causes and potential solutions are. A literature survey was performed covering any publication...

    Authors: Jed D. Pack, Mufeng Xu, Ge Wang, Lohendran Baskaran, James Min and Bruno De Man
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:29
  34. With the increasing requirements of precision mechanical systems in electronic packaging, ultra-precision machining, biomedicine and other high-tech fields, it is necessary to study a precision two-stage ampli...

    Authors: Manzhi Yang, Kaiyang Wei, Chuanwei Zhang, Dandan Liu, Yizhi Yang, Feiyan Han and Shuanfeng Zhao
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:28
  35. Precise control of machining deformation is crucial for improving the manufacturing quality of structural aerospace components. In the machining process, different batches of blanks have different residual str...

    Authors: Yujie Zhao, Changqing Liu, Zhiwei Zhao, Kai Tang and Dong He
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:27
  36. As one of the most widely used assays in biological research, an enumeration of the bacterial cell colonies is an important but time-consuming and labor-intensive process. To speed up the colony counting, a ma...

    Authors: Louis Zhang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:26
  37. Presence of higher breast density (BD) and persistence over time are risk factors for breast cancer. A quantitatively accurate and highly reproducible BD measure that relies on precise and reproducible whole-b...

    Authors: Jia Ying, Renee Cattell, Tianyun Zhao, Lan Lei, Zhao Jiang, Shahid M. Hussain, Yi Gao, H.-H. Sherry Chow, Alison T. Stopeck, Patricia A. Thompson and Chuan Huang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:25
  38. Magnetic particle imaging (MPI) is an emerging molecular imaging technique with high sensitivity and temporal-spatial resolution. Image reconstruction is an important research topic in MPI, which converts an i...

    Authors: Lin Yin, Wei Li, Yang Du, Kun Wang, Zhenyu Liu, Hui Hui and Jie Tian
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:24
  39. To enrich the diversity of artificial neurons, a type of quadratic neurons was proposed previously, where the inner product of inputs and weights is replaced by a quadratic operation. In this paper, we demonst...

    Authors: Tianrui Qi and Ge Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:23
  40. Transcranial magnetic stimulation (TMS) has been established as an important and effective treatment for various psychiatric disorders. However, its effectiveness has likely been limited due to the dearth of n...

    Authors: Shixie Jiang, Linda L. Carpenter and Huabei Jiang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:22
  41. Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes po...

    Authors: Li-Yong Shen, Meng-Xing Wang, Hong-Yu Ma, Yi-Fei Feng and Chun-Ming Yuan
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:21
  42. Pancreatoscopy plays a significant role in the diagnosis and treatment of pancreatic diseases. However, the risk of pancreatoscopy is remarkably greater than that of other endoscopic procedures, such as gastro...

    Authors: Haofan Huang, Xiaxia Yu, Mu Tian, Weizhen He, Shawn Xiang Li, Zhengrong Liang and Yi Gao
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:20
  43. In recent years, human motion prediction has become an active research topic in computer vision. However, owing to the complexity and stochastic nature of human motion, it remains a challenging problem. In pre...

    Authors: Lujing Chen, Rui Liu, Xin Yang, Dongsheng Zhou, Qiang Zhang and Xiaopeng Wei
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:19
  44. In this study, a systematic refinement method was developed for non-uniform Catmull-Clark subdivision surfaces to improve the quality of the surface at extraordinary points (EPs). The developed method modifies...

    Authors: Jingjing Zhang, Yufeng Tian and Xin Li
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:18
  45. This study presents a novel approach to computing all intersections between two Bézier curves using cubic hybrid clipping. Each intersection is represented by two strip intervals that contain an intersection. ...

    Authors: Yaqiong Wu and Xin Li
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:17
  46. Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion heterogeneities. In this study, higher order derivative images are being employed...

    Authors: Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Almas F. Abbasi, Perry J. Pickhardt and Hongbing Lu
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:16
  47. Deep simulations have gained widespread attention owing to their excellent acceleration performances. However, these methods cannot provide effective collision detection and response strategies. We propose a d...

    Authors: Xin Zhu, Yinling Qian, Qiong Wang, Ziliang Feng and Pheng-Ann Heng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:15
  48. Facial expression recognition (FER) has numerous applications in computer security, neuroscience, psychology, and engineering. Owing to its non-intrusiveness, it is considered a useful technology for combating...

    Authors: Ebenezer Owusu, Justice Kwame Appati and Percy Okae
    Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:14

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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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