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Visual Computing for Industry, Biomedicine, and Art
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  1. Deep learning (DL) has proven to be important for computed tomography (CT) image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in ...

    Authors: Dennis Hein, Staffan Holmin, Timothy Szczykutowicz, Jonathan S. Maltz, Mats Danielsson, Ge Wang and Mats Persson
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:24
    Content type: Original Article Published on:

  2. Avatars play a key role in how persons interact within virtual environments, acting as the digital selves. There are many types of avatars, each serving the purpose of representing users or others in these imm...

    Authors: Natalie Hube, Melissa Reinelt, Kresimir Vidackovic and Michael Sedlmair
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:23
    Content type: Original Article Published on:

  3. Fetal macrosomia is associated with maternal and newborn complications due to incorrect fetal weight estimation or inappropriate choice of delivery models. The early screening and evaluation of macrosomia in t...

    Authors: Xiaochen Gu, Ping Huang, Xiaohua Xu, Zhicheng Zheng, Kaiju Luo, Yujie Xu, Yizhen Jia and Yongjin Zhou
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:22
    Content type: Original Article Published on:

  4. Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although sev...

    Authors: Qiushi Nie, Xiaoqing Zhang, Yan Hu, Mingdao Gong and Jiang Liu
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:21
    Content type: Review Published on:

  5. Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large ...

    Authors: Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan and Ge Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:20
    Content type: Original Article Published on:

  7. This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. T...

    Authors: Muhammad Ramzan, Jinfang Sheng, Muhammad Usman Saeed, Bin Wang and Faisal Z. Duraihem
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:18
    Content type: Original Article Published on:

  8. Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray ima...

    Authors: Yufei Li, Yufei Xin, Xinni Li, Yinrui Zhang, Cheng Liu, Zhengwen Cao, Shaoyi Du and Lin Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:17
    Content type: Original Article Published on:

    The Correction to this article has been published in Visual Computing for Industry, Biomedicine, and Art 2024 7:19

  9. Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate ...

    Authors: Yuwei Liu, Litao Zhao, Jie Bao, Jian Hou, Zhaozhao Jing, Songlu Liu, Xuanhao Li, Zibing Cao, Boyu Yang, Junkang Shen, Ji Zhang, Libiao Ji, Zhen Kang, Chunhong Hu, Liang Wang and Jiangang Liu
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:16
    Content type: Original Article Published on:

  10. Skin lesion classification plays a crucial role in the early detection and diagnosis of various skin conditions. Recent advances in computer-aided diagnostic techniques have been instrumental in timely interve...

    Authors: Taofik Ahmed Suleiman, Daniel Tweneboah Anyimadu, Andrew Dwi Permana, Hsham Abdalgny Abdalwhab Ngim and Alessandra Scotto di Freca
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:15
    Content type: Original Article Published on:

  11. Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise ...

    Authors: Libing Yao, Jiping Wang, Zhongyi Wu, Qiang Du, Xiaodong Yang, Ming Li and Jian Zheng
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:14
    Content type: Original Article Published on:

  12. Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Comp...

    Authors: Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard Do, Amber Simpson, Jacob Peoples and Bruno De Man
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:13
    Content type: Original Article Published on:

  13. Speech is a highly coordinated process that requires precise control over vocal tract morphology/motion to produce intelligible sounds while simultaneously generating unique exhaled flow patterns. The schliere...

    Authors: Mohamed Talaat, Kian Barari, Xiuhua April Si and Jinxiang Xi
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:12
    Content type: Original Article Published on:

  14. The regional industry network (RIN) is a type of financial network derived from industry networks that possess the capability to describe the connections between specific industries within a particular region....

    Authors: Wenli Xiong, Chenjie Yu, Chen Shi, Yaxuan Zheng, Xiping Wang, Yanpeng Hu, Hong Yin, Chenhui Li and Changbo Wang
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:11
    Content type: Original Article Published on:

  15. Learning with noisy labels aims to train neural networks with noisy labels. Current models handle instance-independent label noise (IIN) well; however, they fall short with real-world noise. In medical image c...

    Authors: Yun Gao, Junhu Fu, Yuanyuan Wang and Yi Guo
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:10
    Content type: Original Article Published on:

  16. With recent advancements in robotic surgery, notable strides have been made in visual question answering (VQA). Existing VQA systems typically generate textual answers to questions but fail to indicate the loc...

    Authors: Yue Zhang, Wanshu Fan, Peixi Peng, Xin Yang, Dongsheng Zhou and Xiaopeng Wei
    Citation: Visual Computing for Industry, Biomedicine, and Art 2024 7:9
    Content type: Original Article Published on:

  17. 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
    Content type: Original Article Published on:

  18. 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
    Content type: Original Article Published on:

  19. 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
    Content type: Original Article Published on:

  20. 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
    Content type: Original Article Published on:

  22. 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
    Content type: Original Article Published on:

  23. 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
    Content type: Original Article Published on:

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

  24. 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
    Content type: Original Article Published on:

  25. 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
    Content type: Original Article Published on:

  26. 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
    Content type: Original Article Published on:

  27. 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
    Content type: Original Article Published on:

  28. 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
    Content type: Original Article Published on:

  29. 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
    Content type: Review Published on:

  30. 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
    Content type: Original Article Published on:

  31. 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
    Content type: Original Article Published on:

  32. 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
    Content type: Original Article Published on:

  33. 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
    Content type: Original Article Published on:

  34. 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
    Content type: Review Published on:

  35. 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
    Content type: Review Published on:

  36. 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
    Content type: Original Article Published on:

  38. 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
    Content type: Perspective Published on:

  39. 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
    Content type: Review Published on:

  40. 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
    Content type: Original Article Published on:

  41. 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
    Content type: Original Article Published on:

  42. 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
    Content type: Original Article Published on:

  43. 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
    Content type: Original Article Published on:

  44. 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
    Content type: Review Published on:

  45. 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
    Content type: Original Article Published on:

  46. 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
    Content type: Review Published on:

  47. 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
    Content type: Original Article Published on:

  48. 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
    Content type: Original Article Published on:

  49. 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
    Content type: Review Published on:

  50. 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
    Content type: Original Article Published on:
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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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  • Citation Impact 2023
    Journal Impact Factor: 3.2
    5-year Journal Impact Factor: 3.8
    Source Normalized Impact per Paper (SNIP): 1.126
    SCImago Journal Rank (SJR): 0.600

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    Submission to first editorial decision (median days): 8
    Submission to acceptance (median days): 116

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