Article
Biology
Jonas Cordes, Thomas Enzlein, Christian Marsching, Marven Hinze, Sandy Engelhardt, Carsten Hopf, Ivo Wolf
Summary: M(2)aia is an extensible open-source application that provides interactive and memory-efficient data access and signal processing for multiple large MSI datasets. It extends MITK and offers features such as fast visual interaction, image segmentation, 3D image reconstruction, and multi-modal registration, making it suitable for a wide range of MSI analysis tasks.
Article
Thermodynamics
C. Esposito, M. A. Mendez, J. Steelant, M. R. Vetrano
Summary: This study experimentally investigated various cavitation phenomena produced at the exit of an orifice and their downstream propagation and attenuation. Analysis included flow rate measurements, pressure signal acquisition, and high-speed video analysis, highlighting the effect of cavitation intensity on the downstream evolution of fundamental flows.
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2021)
Article
Computer Science, Information Systems
Hao Liu, Yang Zhang, Ke Lian, Yifei Zhang, Oscar Sanjuan Martinez, Ruben Gonzalez Crespo
Summary: Sports have gained significant attention, and this article presents an interactive healthcare data exploration and visualization model that enhances the accuracy and efficiency of athletic health monitoring.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng
Summary: This paper proposes a novel multi-view unsupervised representation learning method, MvLNet, to address the limitations of existing methods by leveraging the representative capacity of deep learning. Experimental results on challenging datasets prove the effectiveness of the method in tasks such as clustering, recognition, and retrieval.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Neuroimaging
Xia-an Bi, Hao Wu, Yiming Xie, Lixia Zhang, Xun Luo, Yu Fu
Summary: This study improves the diagnosis of Parkinson's disease using multi-modal data fusion analysis and discovers interesting associations between brain areas and genes in PD patients.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Multidisciplinary Sciences
Yingxin Lin, Yue Cao, Elijah Willie, Ellis Patrick, Jean Y. H. Yang
Summary: The emergence of multi-sample multi-condition single-cell multi-cohort studies allows researchers to investigate different cell states. The algorithm scMerge2 enables integration and analysis of large-scale single-cell datasets, revealing accurate signatures of disease progression and removing dataset variability in various single-cell profiling technologies.
NATURE COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Jiangshan Liang, Luchen Deng, Shize Chen, Yimin Wang, Zongcai Ruan, Lingli Zhang
Summary: Vaa3D is a widely used software package for visualizing and analyzing multidimensional microscopic images. The newly developed Vaa3D-x version addresses the need to maintain and disseminate the software on latest operating systems.
Article
Computer Science, Theory & Methods
Felipe L. Gewers, Gustavo R. Ferreira, Henrique F. De Arruda, Filipi N. Silva, Cesar H. Comin, Diego R. Amancio, Luciano Da F. Costa
Summary: PCA is commonly used for data analysis in various fields, and this work presents theoretical and practical aspects of PCA in an accessible manner. The basic principles, data standardization, visualizations, and outlier detection of PCA are discussed, along with its potential for dimensionality reduction. The work also summarizes PCA-related approaches and aims to assist researchers from diverse areas in utilizing and interpreting PCA effectively.
ACM COMPUTING SURVEYS
(2021)
Article
Chemistry, Multidisciplinary
Jie Li, Huailian Tan, Wentao Huang
Summary: This paper introduces a PC-based data exploration method that dynamically adjusts classifier settings to identify new patterns during the exploration process. It also proposes a PC-based visualization framework that allows analysts to explore an exploring space simultaneously.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Software Engineering
Mingdong Zhang, Li Chen, Quan Li, Xiaoru Yuan, Junhai Yong
Summary: Ensemble simulation is an important method for handling uncertainties in numerical simulations, and visualization is a promising and powerful analysis method in this field. A new perspective using attribute variable dimension and variable spatial spreading for ensemble data analysis has been proposed, with an interactive framework designed to support uncertainty distribution perception, region selection, and temporal analysis effectively. Feedback from domain experts confirms the efficacy of the framework through analysis of a real-world ensemble simulation dataset.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Alessio Arleo, Christos Tsigkanos, Roger A. Leite, Schahram Dustdar, Silvia Miksch, Johannes Sorger
Summary: This paper presents Sabrina 2.0, a Visual Analytics approach for exploring financial data across different scales. It integrates heterogeneous information sources and generates firm-to-firm financial transaction networks. The evaluation with domain experts demonstrates its ability to generate insights and assist users in exploring a national economy.
COMPUTER GRAPHICS FORUM
(2023)
Article
Biology
Jaclyn Smith, Yao Shi, Michael Benedikt, Milos Nikolic
Summary: In the field of biomedicine, there is a need for scalable data integration solutions due to limitations in large-scale data processing frameworks in analyzing complex data types. TraNCE is an automated framework designed to address the challenges of designing distributed analyses with complex biomedical data types, demonstrating its ability to outperform common alternatives.
Article
Computer Science, Software Engineering
Sehi Lyi, Nils Gehlenborg
Summary: A series of recent studies have focused on designing responsive multi-view visualizations, but there are still unresolved questions. This paper presents a framework for designing responsive multi-view visualizations for genomics data. Existing genomics visualization tools rarely support responsiveness. The paper identifies usability issues and discusses approaches to address them, as well as extending the Gosling visualization grammar to support responsive constructs. The study suggests considering different input modalities in future research.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Biodiversity Conservation
Stuart I. Graham, Ariel Rokem, Janneke Hille Ris Lambers
Summary: Stem-mapped forest stands provide important opportunities for investigating fine-scale spatial processes in forest ecosystems, but the lack of standardized and efficient tools hampers their widespread use. The forestexplorR package offers flexible and user-friendly functions for calculating neighborhood metrics and implementing tree growth and mortality models, making stem-mapped forest stand data more accessible.
Article
Environmental Sciences
Priti Upadhyay, Mikolaj Czerkawski, Christopher Davison, Javier Cardona, Malcolm Macdonald, Ivan Andonovic, Craig Michie, Robert Atkinson, Nikela Papadopoulou, Konstantinos Nikas, Christos Tachtatzis
Summary: The data from Sentinel-1 and Sentinel-2 satellite constellations have the potential to transform Earth observation applications, but an efficient Python framework is needed to generate analysis-ready data. This flexible framework can handle the challenges in processing Sentinel data and generate multi-modal and multi-temporal ARD.
Article
Materials Science, Multidisciplinary
Jonathan Glinz, Jan Sleichrt, Daniel Kytyr, Santhosh Ayalur-Karunakaran, Simon Zabler, Johann Kastner, Sascha Senck
Summary: The study presents a multimodal approach to quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinforced polymers manufactured by vacuum infusion. The use of TLGI-XCT provides enhanced contrast between polymer matrix and carbon fibers at lower spatial resolutions, facilitating the assessment of resin-rich areas. The combination of DPC and DFC helps in quantifying resin-rich areas and understanding their distribution patterns within the composite material.
JOURNAL OF MATERIALS SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Johann Kastner, Stefan Zaunschirm, Sarah Rendl, Erenilton Pereira da Silva
Summary: This study investigated the internal architecture and microstructure of cast and hot rolled ZK60 alloys with different rare earth metal content. The results showed that the addition of rare earth metals improved the homogeneity of the microstructure, while rheocasting led to a more uniform distribution of Zr-rich particles.
MATERIALS CHARACTERIZATION
(2021)
Article
Food Science & Technology
Jaqueline Auer, Michael Reiter, Sascha Senck, Andreas Reiter, Johann Kastner, Katrin Mathmann
Summary: The presence of eyes in Swiss-type cheese is an important indicator of quality. Research has shown that the duration of pre-maturing and the maturing temperature can influence the formation of eyes, and not all eyes have the same growth potential.
FOOD STRUCTURE-NETHERLANDS
(2021)
Article
Engineering, Multidisciplinary
Herminso Villarraga-Gomez, Artem Amirkhanov, Christoph Heinzl, Stuart T. Smith
Summary: This paper evaluates the dimensional accuracy of industrial X-ray computed tomography (CT) measurements in relation to sample orientation within the measurement volume. Experimental data is compared to simulated predictions, showing that optimal tilt angles can minimize measurement errors.
Article
Computer Science, Software Engineering
B. Froehler, C. Anthes, F. Pointecker, J. Friedl, D. Schwajda, A. Riegler, S. Tripathi, C. Holzmann, M. Brunner, H. Jodlbauer, H-C Jetter, C. Heinzl
Summary: Cross-virtuality analytics (XVA) is a novel field that aims to seamlessly integrate different devices and support multiple users through transitional and collaborative interfaces. This work provides a comprehensive analysis of the current state of XVA, including methods of establishing cross-virtuality, visualization and interaction techniques, system evaluation, and domains of application.
COMPUTER GRAPHICS FORUM
(2022)
Article
Materials Science, Characterization & Testing
A. Gall, B. Froehler, J. Maurer, J. Kastner, C. Heinzl
Summary: We demonstrate a collaborative visualization framework that combines traditional desktop-based setup with virtual reality-based system for analyzing rich X-Ray Computed Tomography Data. This framework supports experts in analyzing objects and their characteristics by providing detailed spatial impressions and collaborative capabilities through virtual reality technology.
NONDESTRUCTIVE TESTING AND EVALUATION
(2022)
Article
Materials Science, Characterization & Testing
M. Yosifov, M. Reiter, S. Heupl, C. Gusenbauer, B. Froehler, R. Fernandez- Gutierrez, J. De Beenhouwer, J. Sijbers, J. Kastner, C. Heinzl
Summary: In this study, we use X-ray computed tomography (XCT) for in-line inspection of aluminum cylinder heads and apply and adapt the probability of detection (POD) methods. By using a simulation tool to generate virtual X-ray radiographs, the need for manufacturing specimens with known defect characteristics is eliminated. The virtual images are analyzed using an automated defect detection method to quantify defects. The hit/miss approach is used to create the defect curves. The results demonstrate the advantages of numerical simulations in quantifying and improving defect detection.
NONDESTRUCTIVE TESTING AND EVALUATION
(2022)
Article
Crystallography
Jan Bajer, Stefan Zaunschirm, Bernhard Plank, Michaela Slapakova, Lucia Bajtosova, Miroslav Cieslar, Johann Kastner
Summary: Inhomogeneous structure with central segregation occurs in commercial twin-roll cast AA 3003 aluminum alloy, where segregations form as manganese, iron, and silicon-rich channels spread in the rolling direction. Diffusion of silicon during annealing leads to the formation and growth of voids due to the Kirkendall effect.
Article
Materials Science, Characterization & Testing
Tim Elberfeld, Bernhard Froehler, Christoph Heinzl, Jan Sijbers, Jan De Beenhouwer
Summary: A new framework is proposed for reconstructing curved fibres from X-ray computed tomography data of glass fibre-reinforced composites. It can detect fibres in a low-dose, low-resolution CT scan, and estimate their parameters directly from a few high-resolution 2D projection images. The framework is validated on both simulated and real data, showing robustness to noise and requiring less than 10 high-resolution projections for accurate estimates. It can also improve existing estimation frameworks based on full 3D scans.
NONDESTRUCTIVE TESTING AND EVALUATION
(2023)
Article
Computer Science, Software Engineering
Ziga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondrej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola
Summary: This system allows users to form groups of objects and control the visibility of each group on a per-instance basis, effectively exploring crowded volumetric data.
Proceedings Paper
Computer Science, Cybernetics
Fabian Pointecker, Markus Dalpiaz, Philipp Kainberger, Alexander Gall, Bernhard Froehler, Christoph Heinzl, Christoph Anthes
Summary: In this position paper, the potential benefits of incorporating visual coherence approaches and data analysis into the research field of Cross-Virtuality Analytics are explored. The paper suggests developing novel transition techniques and leveraging visual analysis processes to improve Cross-Virtuality.
2022 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY ADJUNCT (ISMAR-ADJUNCT 2022)
(2022)
