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.
Articles
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Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:12
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Influence of postural changes on haemodynamics in internal carotid artery bifurcation aneurysm using numerical methods
Cerebral intracranial aneurysms are serious problems that can lead to stroke, coma, and even death. The effect of blood flow on cerebral aneurysms and their relationship with rupture are unknown. In addition, ...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:11 -
Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study
Radiomics has increasingly been investigated as a potential biomarker in quantitative imaging to facilitate personalized diagnosis and treatment of head and neck cancer (HNC), a group of malignancies associate...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:10 -
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
Segmentation of intracranial aneurysm images acquired using magnetic resonance angiography (MRA) is essential for medical auxiliary treatments, which can effectively prevent subarachnoid hemorrhages. This pape...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:9 -
Preoperative prediction of lymph node metastasis using deep learning-based features
Lymph node involvement increases the risk of breast cancer recurrence. An accurate non-invasive assessment of nodal involvement is valuable in cancer staging, surgical risk, and cost savings. Radiomics has bee...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:8 -
Skin lesion classification system using a K-nearest neighbor algorithm
One of the most critical steps in medical health is the proper diagnosis of the disease. Dermatology is one of the most volatile and challenging fields in terms of diagnosis. Dermatologists often require furth...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:7 -
Features of hardware implementation of quasi-continuous observation devices with discrete receivers
This article proposes an approach to the formalization of tasks and conditions for the hardware implementation of quasi-continuous observation devices with discrete receivers in remote sensing systems. Observa...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:6 -
Non-rigid registration of medical images based on \( {S}_2^1\left({\Delta}_{mn}^{(2)}\right) \) non-tensor product B-spline
In this study, a non-tensor product B-spline algorithm is applied to the search space of the registration process, and a new method of image non-rigid registration is proposed. The tensor product B-spline is a...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:5 -
Iterative analytic extension in tomographic imaging
If a spatial-domain function has a finite support, its Fourier transform is an entire function. The Taylor series expansion of an entire function converges at every finite point in the complex plane. The analy...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:4 -
Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor
This paper introduces a comparative analysis of the proficiencies of various textures and geometric features in the diagnosis of breast masses on mammograms. An improved machine learning-based framework was de...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:3 -
Spatially resolved transcriptomics in immersive environments
Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data ac...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:2 -
A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy
Metal objects in X-ray computed tomography can cause severe artifacts. The state-of-the-art metal artifact reduction methods are in the sinogram inpainting category and are iterative methods. This paper propos...
Citation: Visual Computing for Industry, Biomedicine, and Art 2022 5:1 -
A comprehensive review of machine learning techniques on diabetes detection
Diabetes mellitus has been an increasing concern owing to its high morbidity, and the average age of individual affected by of individual affected by this disease has now decreased to mid-twenties. Given the h...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:30 -
Review of light field technologies
Light fields are vector functions that map the geometry of light rays to the corresponding plenoptic attributes. They describe the holographic information of scenes by representing the amount of light flowing ...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:29 -
Typical curve with G1 constraints for curve completion
This paper presents a novel algorithm for planar G1 interpolation using typical curves with monotonic curvature. The G1 interpolation problem is converted into a system of nonlinear equations and sufficient co...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:28 -
Examining data visualization pitfalls in scientific publications
Data visualization blends art and science to convey stories from data via graphical representations. Considering different problems, applications, requirements, and design goals, it is challenging to combine t...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:27 -
Stabilization and visual analysis of video-recorded sailing sessions
One common way to aid coaching and seek to improve athletes’ performance is by recording training sessions for posterior analysis. In the case of sailing, coaches record videos from another boat, but usually r...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:26 -
Acral melanoma detection using dermoscopic images and convolutional neural networks
Acral melanoma (AM) is a rare and lethal type of skin cancer. It can be diagnosed by expert dermatologists, using dermoscopic imaging. It is challenging for dermatologists to diagnose melanoma because of the v...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:25 -
Visual analytics tool for the interpretation of hidden states in recurrent neural networks
In this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactivel...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:24 -
Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations
The visualization of dynamic graphs is a challenging task owing to the various properties of the underlying relational data and the additional time-varying property. For sparse and small graphs, the most effic...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:23 -
Development of a support system for creating disaster prevention maps focusing on road networks and hazardous elements
As a disaster prevention measure based on self-assistance and mutual assistance, disaster prevention maps are being created with citizen participation throughout Japan. The process of creating disaster prevent...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:22 -
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic applications of computed tomography (CT). However, image noise degrades image quality owing to the reduced X-ray dose a...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:21 -
A survey: which features are required for dynamic visual simultaneous localization and mapping?
In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry. Some pioneering work on this technique has exp...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:20 -
Visualizing risk factors of dementia from scholarly literature using knowledge maps and next-generation data models
Scholarly communication of knowledge is predominantly document-based in digital repositories, and researchers find it tedious to automatically capture and process the semantics among related articles. Despite ...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:19 -
Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector
Although the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancement...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:18 -
Reducing metal artifacts by restricting negative pixels
When the object contains metals, its x-ray computed tomography (CT) images are normally affected by streaking artifacts. These artifacts are mainly caused by the x-ray beam hardening effects, which deviate the...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:17 -
Special issue “Photoacoustic imaging: microscopy, tomography, and their recent applications in biomedicine” in visual computation for industry, biomedicine, and art
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:16 -
Chronic cranial window for photoacoustic imaging: a mini review
Photoacoustic (PA) microscopy is being increasingly used to visualize the microcirculation of the brain cortex at the micron level in living rodents. By combining it with long-term cranial window techniques, v...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:15 -
Nasal airflow of patient with septal deviation and allergy rhinitis
A numerical simulation of a patient’s nasal airflow was developed via computational fluid dynamics. Accordingly, computerized tomography scans of a patient with septal deviation and allergic rhinitis were obta...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:14 -
Correction to: Ultrasonic signal detection based on Fabry–Perot cavity sensor
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:13 -
Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic
A neural network is one of the current trends in deep learning, which is increasingly gaining attention owing to its contribution in transforming the different facets of human life. It also paves a way to appr...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:12 -
Fiber laser technologies for photoacoustic microscopy
Fiber laser technology has experienced a rapid growth over the past decade owing to increased applications in precision measurement and optical testing, medical care, and industrial applications, including las...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:11 -
Correction to: Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation
An amendment to this paper has been published and can be accessed via the original article.
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:10 -
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. T...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:9 -
Ultrasonic signal detection based on Fabry–Perot cavity sensor
Acoustic/ultrasonic sensors are devices that can convert mechanical energy into electrical signals. The Fabry–Perot cavity is processed on the end face of the double-clad fiber by a two-photon three-dimensiona...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:8 -
Recovery of photoacoustic images based on accurate ultrasound positioning
Photoacoustic microscopy is an in vivo imaging technology based on the photoacoustic effect. It is widely used in various biomedical studies because it can provide high-resolution images while being label-free...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:7 -
Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation
Photoacoustic (PA) imaging has been widely used in biomedical research and preclinical studies during the past two decades. It has also been explored for nondestructive testing and evaluation (NDT/E) and for i...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:6 -
A language to analyze, describe, and explore collections of visual art
A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted ...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:5 -
Improvement in resolution of fiber-laser photoacoustic tomography based on a virtual-point concept
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:4 -
Visual analysis of flow and diffusion of hemolytic agents and hematomas
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:3 -
Correction to: Classes of tree-based networks
An amendment to this paper has been published and can be accessed via the original article.
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:2 -
High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging
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 ...
Citation: Visual Computing for Industry, Biomedicine, and Art 2021 4:1 -
Correction to: Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy
An amendment to this paper has been published and can be accessed via the original article.
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:30 -
Modified distance regularized level set evolution for brain ventricles segmentation
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:29 -
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
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:28 -
Modeling of moral decisions with deep learning
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:27 -
Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:26 -
Exploration of nature-based biomimetic approach in landscape architectural design: parametric study of candelabra model design
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:25 -
Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology
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...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:24 -
Visual order of Chinese ink paintings
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,...
Citation: Visual Computing for Industry, Biomedicine, and Art 2020 3:23
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