Articles

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...

Authors: Gijs M. W. Reichert, Marcos Pieras, Ricardo Marroquim and Anna Vilanova

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...

Authors: Qaiser Abbas, Farheen Ramzan and Muhammad Usman Ghani

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...

Authors: Rafael Garcia, Tanja Munz and Daniel Weiskopf

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...

Authors: Michael Burch, Kiet Bennema ten Brinke, Adrien Castella, Ghassen Karray Sebastiaan Peters, Vasil Shteriyanov and Rinse Vlasvinkel

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...

Authors: Kaname Takenouchi and Ikuro Choh

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...

Authors: Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku and Hiroyuki Daida

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...

Authors: Zewen Xu, Zheng Rong and Yihong Wu

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 ...

Authors: Kiran Fahd and Sitalakshmi Venkatraman

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...

Authors: Dhruvil Shah, Devarsh Patel, Jainish Adesara, Pruthvi Hingu and Manan Shah

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...

Authors: Gengsheng L. Zeng and Megan Zeng

Special issue “Photoacoustic imaging: microscopy, tomography, and their recent applications in biomedicine” in visual computation for industry, biomedicine, and art

Authors: Puxiang Lai, Liming Nie and Lidai Wang

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...

Authors: Yongchao Wang and Lei Xi

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...

Authors: Zi Fen Lim, Parvathy Rajendran, Muhamad Yusri Musa and Chih Fang Lee

Correction to: Ultrasonic signal detection based on Fabry–Perot cavity sensor

Authors: Wu Yang, Chonglei Zhang, Jiaqi Zeng and Wei Song

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...

Authors: Sneha Kugunavar and C. J. Prabhakar

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...

Authors: Long Jin and Yizhi Liang

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.

Authors: Sung-Liang Chen and Chao Tian

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...

Authors: Neil Shah, Nandish Bhagat and Manan Shah

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...

Authors: Wu Yang, Chonglei Zhang, Jiaqi Zeng and Wei Song

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...

Authors: Yinhao Pan, Ningbo Chen, Liangjian Liu, Chengbo Liu, Zhiqiang Xu and Jianhui Zhang

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...

Authors: Sung-Liang Chen and Chao Tian

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 ...

Authors: Hermann Pflüger

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...

Authors: Xue Bai, Xu Li, Jun Ma and Bai-Ou Guan

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...

Authors: Yafei Zhu, Mengyao Bao, Miaomiao Jiang, Jincai Chang and Jianzhong Cui

Correction to: Classes of tree-based networks

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

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 ...

Authors: Xiufeng Li, Victor T C Tsang, Lei Kang, Yan Zhang and Terence T W Wong

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.

Authors: Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang and Sihua Yang

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...

Authors: Thirumagal Jayaraman, Sravan Reddy M., Manjunatha Mahadevappa, Anup Sadhu and Pranab Kumar Dutta

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...

Authors: Meng-Yun Wang, Anzhe Yuan, Juan Zhang, Yutao Xiang and Zhen Yuan

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...

Authors: Christopher Wiedeman, Ge Wang and Uwe Kruger

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...

Authors: Binny Naik, Ashir Mehta and Manan Shah

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...

Authors: Biljana S. Jović and Anđela D. Mitić

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...

Authors: Shanshan Wang, Yunfeng Zhao and Ye Xu

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,...

Authors: Zhen-Bao Fan and Kang Zhang

Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy

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

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

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

Streamline pair selection for comparative flow field visualization

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

Conversion of adverse data corpus to shrewd output using sampling metrics

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

Efficient object location determination and error analysis based on barycentric coordinates

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

Implementation and experiments for interactive lyrics transcreation system

The evolution of the Internet has enabled us to enjoy the music created in various countries. But still, it is often difficult to understand the lyrics written in foreign languages. Professional translators ha...

Authors: Ayano Nishimura and Takayuki Itoh

Projection-domain iteration to estimate unreliable measurements

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

A digital assistant for shading paper sketches

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

Bibliometric review of visual computing in the construction industry

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

Pre-filter that incorporates the noise model

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

Classes of tree-based networks

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

Software development for modeling irregular fine protrusions formed by sputter etching

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

Poisson-noise weighted filter for time-of-flight positron emission tomography

Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for thi...

Authors: Gengsheng L. Zeng, Li Lv and Qiu Huang

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors

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

Correction to: Hybrid image of three contents

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

Fused behavior recognition model based on attention mechanism

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