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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Sebastian Bremm Tatiana von Landesberger Martin Heß Tobias Schreck Philipp Weil Kay Hamacherk Interactive-Graphics Systems TU Darmstadt Germany Interactive-Graphics Systems Technical University of Darmstadt Germany Data Analysis and Visualization Group University of Konstanz Germany Computational Biology TU Darmstadt Germany

Traditionally, the visual analysis of hierarchies, respectively, trees, is conducted by focusing on one given hierarchy. However, in many research areas multiple, differing hierarchies need to be analyzed simultaneously in a comparative way - in particular to highlight differences between them, which sometimes can be subtle. A prominent example is the analysis of so-called phylogenetic trees in biology, reflecting hierarchical evolutionary relationships among a set of organisms. Typically, the analysis considers multiple phylogenetic trees, either to account for statistical significance or for differences in derivation of such evolutionary hierarchies; for example, based on different input data, such as the 16S ribosomal RNA and protein sequences of highly conserved enzymes. The simultaneous analysis of a collection of such trees leads to more insight into the evolutionary process. We introduce a novel visual analytics approach for the comparison of multiple hierarchies focusing on both global and local structures. A new tree comparison score has been elaborated for the identification of interesting patterns. We developed a set of linked hierarchy views showing the results of automatic tree comparison on various levels of details. This combined approach offers detailed assessment of local and global tree similarities. The approach was developed in close cooperation with experts from the evolutionary biology domain. We apply it to a phylogenetic data set on bacterial ancestry, demonstrating its application benefit.

关键词： visualization Phylogeny Vegetation Image color analysis data visualization Organisms

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Large data visualization on Distributed Memory Multi-GPU Clusters 10

Large Data Visualization on Distributed Memory Multi-GPU Clu...

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Conference on High-performance Graphics

作者： Thomas Fogal Hank Childs Siddharth Shankar Jens Kriiger R. Daniel Bergeron Philip Hatcher Scientific Computing & Imaging Institute University of UtahDepartment of Computer Science University of New Hampshire Lawrence Berkeley National Laboratory Scientific Computing & Imaging Institute University of Utah Interactive Visualization and Data Analysis Group DFKI Germany Department of Computer Science University of New Hampshire

ISBN: (纸本)9781617827242

data sets of immense size are regularly generated on large scale computing resources. Even among more traditional methods for acquisition of volume data, such as MRI and CT scanners, data which is too large to be effectively visualized on standard workstations is now commonplace. One solution to this problem is to employ a 'visualization cluster,' a small to medium scale cluster dedicated to performing visualization and analysis of massive data sets generated on larger scale supercomputers. These clusters are designed to fit a different need than traditional supercomputers, and therefore their design mandates different hardware choices, such as increased memory, and more recently, graphics processing units (GPUs). While there has been much previous work on distributed memory visualization as well as GPU visualization, there is a relative dearth of algorithms which effectively use GPUs at a large scale in a distributed memory environment. In this work, we study a common visualization technique in a GPU-accelerated, distributed memory setting, and present performance characteristics when scaling to extremely large data sets.

关键词： distributed memory data visualisation visualization dataset supercomputer Representation of data performance characteristics

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Progressive parallel coordinates

Progressive parallel coordinates

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： René Rosenbaum Jian Zhi Bernd Hamann Visual Computing and Computer Graphics group (VCG) Institute for Computer Science University of Rostock Rostock Germany Institute for Data Analysis and Visualization (IDAV) Department of Computer Science University of California Davis CA USA Department of Industrial Engineering and Operations Research Columbia University NY USA

Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presentation into one approach. Specifically, this paper concerns the effective use of progressive parallel coordinates (PPCs), utilized routinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and improved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.

关键词： Lead visualization Logic gates

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Optimization strategy for the design of ribbed plastic components

Zeitschrift Kunststofftechnik/Journal of Plastics Technology

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Zeitschrift Kunststofftechnik/Journal of Plastics Technology 2014年第4期2014卷 160-175页

作者： Schöneich, Marc Stommel, Markus Kratz, Andrea Zobel, Valentin Scheuermann, Gerik Hotz, Ingrid Burgeth, Bernhard Saarland University Saarbrücken66123 Germany Technical University Dortmund DortmundD-44227 Germany Department of Visualization and Data Analysis Zuse Institute Berlin Berlin-Dahlem14195 Germany Image and Signal Processing Group Institute for Informatics University of Leipzig Leipzig04105 Germany Braunschweig38108 Germany Department of Mathematics Saarland University Saarbrücken66123 Germany

The engineer is supported for the design of ribbed plastic components by basic guidelines concerning the shape and the position of the ribs. Thus, the experience and intuition of the individual engineer plays an important role. For this reason, a component with an optimal rib structure cannot be guaranteed. In this publication a new strategy is presented as assistance for the design of ribbed plastic components. The guidance of the design of rib structures in injection molded plastic parts by tensor visualization will result in an optimized rib structure which leads to stiffer parts when identical material is used. FE-simulations as well as experimental tests validate the optimization potential of tensor visualization for the design of ribbed plastic components. © 2014 Carl Hanser Verlag, München.

关键词： visualization

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PointCloudXplore 2: Visual exploration of 3D gene expression

PointCloudXplore 2: Visual exploration of 3D gene expression

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2nd Workshop of the DFG's International Research Training group on visualization of Large and Unstructured data Sets - Applications in Geospatial Planning, Modeling, and Engineering, VLUDS 2007

作者： Rübel, O. Weber, G.H. Huang, M.-Y. Bethel, E.W. Keränen, S.V.E. Fowlkes, C.C. Hendriks, C.L. Luengo DePace, Angela H. Simirenko, L. Eisen, M.B. Biggin, M.D. Hagen, H. Malik, J. Knowles, D.W. Hamann, B. International Research Training Group University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California Davis United States Computational Research Division Lawrence Berkeley National Laboratory Berkeley United States Genomics Division Lawrence Berkeley National Laboratory Berkeley United States Computer Science Department University of California Irvine United States Computer Science Division University of California Berkeley United States Lawrence Berkeley National Laboratory Life Sciences Division Berkeley United States Department of Molecular and Cellular Biology Center for Integrative Genomics University of California Berkeley United States

ISBN: (纸本)9783885794417

To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP ) has developed a suite of methods to describe 3D gene expression data, i.e., the output of the network at cellular resolution for multiple time points. To allow researchers to explore these novel data sets we have developed PointCloudXplore (PCX). In PCX we have linked physical and information visualization views via the concept of brushing (cell selection). For each view dedicated operations for performing selection of cells are available. In PCX, all cell selections are stored in a central management system. Cells selected in one view can in this way be highlighted in any view allowing further cell subset properties to be determined. Complex cell queries can be defined by combining different cell selections using logical operations such as AND, OR, and NOT. Here we are going to provide an overview of PointCloudXplore 2 (PCX2), the latest publicly available version of PCX. PCX2 has shown to be an effective tool for visual exploration of 3D gene expression data. We discuss (i) all views available in PCX2, (ii) different strategies to perform cell selection, (iii) the basic architecture of PCX2., and (iv) illustrate the usefulness of PCX2 using selected examples.

关键词： visualization

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Advances in Visual Computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Paolo Remagnino Ara Nefian Gopi Meenakshisundaram Valerio Pascucci Jiri Zara Jose Molineros Holger Theisel Tom Malzbender

ISBN: (数字)9783540486312

ISBN: (纸本)9783540486282

It is with great pleasure that we welcome you all to the proceedings of the 2nd InternationalSymposiumonVisualComputing(ISVC2006)heldinLakeTahoe. Followinga successfulmeeting lastyear,wewitnesseda muchstrongerandmore productive event this year. ISVC o?ers a common umbrella for the four main areas of visual computing including vision, graphics, visualization, and virtual reality. Its goal is to provide a forum for researchers, scientists, engineers and practitionersthroughouttheworldtopresenttheirlatestresearch?ndings,ideas, developments and applications in the broader area of visual computing. This year, the program consisted of 13 oral sessions, one poster session, ten special tracks, and six keynote presentations. The response to the call for - pers was very strong. We received more than twice the papers received last year. Speci?cally, we received over 280 submissions for the main symposium from which we accepted 65 papers for oral presentation (23% acceptance) and 56 papers for poster presentation (20% acceptance). Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 57 papers were accepted for presentation in the special tracks. All papers were reviewed with an emphasis on potential to contribute to the state of the art in the ?eld. Selection criteria included accuracy and originality of ideas, clarity and signi?cance of results, and presentation quality. The review process was quite rigorous, involving two to three independent blind reviews followed by several days of discussion. During the discussion period we tried to correct anomalies and errors that might have existed in the initial reviews.

关键词： Software Engineering/Programming and Operating Systems Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Algorithm analysis and Problem Complexity

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Advances in Visual Computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Paolo Remagnino Ara Nefian Gopi Meenakshisundaram Valerio Pascucci Jiri Zara Jose Molineros Holger Theisel Tom Malzbender

ISBN: (数字)9783540486275

ISBN: (纸本)9783540486268

关键词： Pattern Recognition Computer Applications Programming Techniques Image Processing and Computer Vision Artificial Intelligence Computer Graphics

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Responsibilities for receiving and using individual participant data

Cochrane Evidence Synthesis and Methods

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Cochrane Evidence Synthesis and Methods 2023年第9期1卷

作者： Kylie E. Hunter Aidan C. Tan Angela C. Webster Daniel G. Hamilton Adrian Barnett Lee Jones Myra Cheng Salma Fahridin Antonio Laguna-Camacho Sol Libesman Mark Hoffmann Rui Wang Anna Lene Seidler NHMRC Clinical Trials Centre University of Sydney Sydney New South Wales Australia Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Project administration Resources Validation Visualization Writing - original draft Writing - review & editing Contribution: Conceptualization Investigation Methodology Resources Supervision Writing - review & editing MetaMelb Research Group University of Melbourne Melbourne Victoria Australia Melbourne Medical School University of Melbourne Melbourne Victoria Australia Contribution: Investigation Resources Validation Writing - review & editing School of Public Health and Social Work Queensland University of Technology Brisbane Queensland Australia Australian Research Data Commons Canberra Australian Capital Territory Australia School of Medicine Autonomous University of the State of Mexico Toluca Mexico Queensland Cyber Infrastructure Foundation Brisbane Queensland Australia Department of Obstetrics and Gynaecology Monash University Melbourne Victoria Australia Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Project administration Resources Supervision Validation Visualization Writing - review & editing

Background Sharing of individual participant data enhances the value of existing data to generate new evidence and inform decision-making. While there is strong in-principle support for data sharing, in practice study data are often difficult to find, access, and re-use. Currently, there is no consensus statement to guide the data-sharing process. In particular, more guidance is needed on the responsibilities of data recipients for re-using individual participant data. Purpose To determine views on the responsibilities of recipients of study data, and to propose how these responsibilities could be met. Methods A 2-h online focus group was conducted at the 2021 Association for Interdisciplinary Meta-research and Open Science conference. Three example data-sharing scenarios were discussed (evidence synthesis, study reproducibility, and secondary analyses). Notes and audio transcripts were collated using thematic analysis and shared with attendees for further iterative input. Results A purposive sample of 16 conference delegates attended the focus group. Analyses revealed four recurring themes that were synthesized into recommendations. The “privacy and ethics” theme described the need for data recipients to prioritize the protection of participant privacy, and the recommendation to proactively share a secure data management plan and evidence of ethical oversight with the data provider. The “capability and resourcing” theme required recipients to demonstrate sufficient capacity to process and analyze study data. The “recognition and collaboration” theme asserted the responsibility to acknowledge the contributions of data providers and invite them to contribute to the secondary project. Last, the “compliance” theme focused on the responsibility to adhere to local data sharing regulations. Conclusions Successful data sharing and re-use requires cooperation from multiple stakeholders. We identified the responsibilities of recipients of study data to the individual from wh

关键词： data provider data recipient data sharing health research individual participant data reproducibility

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Carbazole-Dendronized Luminescent Radicals

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Angewandte Chemie 2023年第28期135卷

作者： Rui Xiaotian Wataru Ota Prof. Tohru Sato Minori Furukori Prof. Yasuo Nakayama Prof. Takuya Hosokai Eri Hisamura Kazuhiro Nakamura Kenshiro Matsuda Dr. Kohei Nakao Prof. Andrew P. Monkman Prof. Ken Albrecht Department of Applied Science for Electronics and Materials Interdisciplinary Graduate School of Engineering Sciences Kyushu University 6-1 Kasuga-Koen Kasuga-shi Fukuoka 816-8580 Japan Contribution: Conceptualization (supporting) Data curation (lead) Formal analysis (lead) Funding acquisition (supporting) Investigation (equal) Visualization (equal) Writing - original draft (lead) MOLFEX Inc. Takano Nishibiraki-cho 34–4 Sakyo-ku Kyoto 606-8103 Japan Contribution: Conceptualization (supporting) Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (equal) Resources (supporting) Software (supporting) Visualization (supporting) Writing - original draft (supporting) Fukui Institute for Fundamental Chemistry Kyoto University Takano Nishibiraki-cho 34–4 Sakyo-ku Kyoto 606-8103 Japan Department of Molecular Engineering Graduate School of Engineering Kyoto University Nishikyo-ku Kyoto 615-8510 Japan Elements Strategy Initiative for Catalysts & Batteries (ESICB) Kyoto University Kyotodaigaku Katsura Nishikyo-ku Kyoto 615-8245 Japan Contribution: Conceptualization (supporting) Software (supporting) Supervision (equal) Validation (supporting) Writing - review & editing (supporting) Department of Pure and Applied Chemistry Graduate School of Science and Technology Tokyo University of Science 2641 Yamazaki Noda Chiba 278-8510 Japan National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Central 5 1-1-1 Higashi Tsukuba Ibaraki 305-8565 Japan Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) Contribution: Supervision (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (supporting) Data curation (supporting) Formal analysis (supporting) Funding acquisition (supporting) Supervision (equal) Writing - review & editing (equal) Institute for Materials Chemistry and Engineering Kyushu University 6-1 Kasuga-Koen Kasuga-shi Fukuoka 816-8580 J

A series of carbazole-dendronized tris(2,4,6-trichlorophenyl)methyl (TTM) radicals have been synthesized. The photophysical properties of dendronized radicals up to the fourth generation were compared systematically to understand how structure–property relationships evolve with generation. The photoluminescence quantum yield (PLQY) was found to increase with the increasing generation, and the fourth generation (G4TTM) in cyclohexane solution showed a PLQY as high as 63 % at a wavelength of 627 nm (in the deep-red region) from the doublet state. The dendron modification strategy also showed a blue-shift of the emission on increasing the generation number, and the photostability was also increased compared to the bare TTM radical.

关键词： Carbazoles Dendrimers Excited Doublet State Luminescencent Materials Stable Radicals

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Biomedical image analysis competitions: The state of current participation practice

arXiv

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arXiv 2022年

作者： Eisenmann, Matthias Reinke, Annika Weru, Vivienn Tizabi, Minu Dietlinde Isensee, Fabian Adler, Tim J. Godau, Patrick Cheplygina, Veronika Kozubek, Michal Maier-Hein, Klaus Jäger, Paul F. Kopp-Schneider, Annette Maier-Hein, Lena Ali, Sharib Gupta, Anubha Kybic, Jan Noble, Alison de Solórzano, Carlos Ortiz Pachade, Samiksha Petitjean, Caroline Sage, Daniel Wei, Donglai Wilden, Elizabeth Alapatt, Deepak Andrearczyk, Vincent Baid, Ujjwal Bakas, Spyridon Balu, Niranjan Bano, Sophia Bawa, Vivek Singh Bernal, Jorge Bodenstedt, Sebastian Casella, Alessandro Choi, Jinwook Commowick, Olivier Daum, Marie Depeursinge, Adrien Dorent, Reuben Egger, Jan Eichhorn, Hannah Engelhardt, Sandy Ganz, Melanie Girard, Gabriel Hansen, Lasse Heinrich, Mattias Heller, Nicholas Hering, Alessa Huaulmé, Arnaud Kim, Hyunjeong Li, Hongwei Bran Landman, Bennett Li, Jianning Ma, Jun Martel, Anne Martín-Isla, Carlos Menze, Bjoern Nwoye, Chinedu Innocent Oreiller, Valentin Padoy, Nicolas Pati, Sarthak Payette, Kelly Sudre, Carole van Wijnen, Kimberlin Vardazaryan, Armine Vercauteren, Tom Wagner, Martin Wang, Chuanbo Yap, Moi Hoon Yu, Zeyun Yuan, Chun Zenk, Maximilian Zia, Aneeq Zimmerer, David Bao, Rina Choi, Chanyeol Cohen, Andrew Dzyubachyk, Oleh Galdran, Adrian Gan, Tianyuan Guo, Tianqi Gupta, Pradyumna Haithami, Mahmood Ho, Edward Jang, Ikbeom Li, Zhili Luo, Zhengbo Lux, Filip Makrogiannis, Sokratis Müller, Dominik Oh, Young-Tack Pang, Subeen Pape, Constantin Polat, Gorkem Reed, Charlotte Rosalie Ryu, Kanghyun Scherr, Tim Thambawita, Vajira Wang, Haoyu Wang, Xinliang Xu, Kele Yeh, Hung Yeo, Doyeob Yuan, Yixuan Zeng, Yan Zhao, Xin Abbing, Julian Adam, Jannes Adluru, Nagesh Agethen, Niklas Ahmed, Salman Al Khalil, Yasmina Alenyà, Mireia Alhoniemi, Esa An, Chengyang Arega, Tewodros Weldebirhan Avisdris, Netanell Aydogan, Dogu Baran Bai, Yingbin Calisto, Maria Baldeon Basaran, Berke Doga Beetz, Marcel Bian, Hao Blansit, Kevin Bloch, Louise Bohnsack, Robert Bosticardo, Sara Breen, Jack Brudfors, Mikael Brüngel, Raphael Cabezas, Mariano Cacciola, Alb Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Biostatistics Germany Heidelberg Division of Medical Image Computing Germany Heidelberg HI Applied Vision Lab Germany IT University of Copenhagen Copenhagen Denmark Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Heidelberg Interactive Machine Learning Group Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg DKFZ University Hospital Heidelberg Germany School of Computing University of Leeds Leeds United Kingdom SBILab Department of ECE IIIT-Delhi India Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Biomedical Engineering University of Oxford United Kingdom Center for Applied Medical Research Pamplona Spain Shri Guru Gobind Singhji Institute of Engineering and Technology Maharashtra Nanded India Université de Rouen Normandie France Lausanne Switzerland School of Engineering and Applied Science Harvard University United States ICube University of Strasbourg CNRS France Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Techno-Pôle 3 Sierre3960 Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Rue du Bugnon 46 LausanneCH-1011 Switzerland University of Pennsylvania PhiladelphiaPA United States Department of Radiology University of Washington United States Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London London United Kingdom Visual Artificial Intelligence Lab Oxford Brookes University Oxford United Kingdom Universitat Autònoma de Barcelona & Computer Vision Center Spain Dresden Fetscherstraße 74 PF 64 Dresden01307 Germany

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known about the common practice as well as bottlenecks faced by the community in tackling the research questions posed. To shed light on the status quo of algorithm development in the specific field of biomedical imaging analysis, we designed an international survey that was issued to all participants of challenges conducted in conjunction with the IEEE ISBI 2021 and MICCAI 2021 conferences (80 competitions in total). The survey covered participants' expertise and working environments, their chosen strategies, as well as algorithm characteristics. A median of 72% challenge participants took part in the survey. According to our results, knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%). While a median of 80 working hours was spent on method development, a large portion of participants stated that they did not have enough time for method development (32%). 25% perceived the infrastructure to be a bottleneck. Overall, 94% of all solutions were deep learning-based. Of these, 84% were based on standard architectures. 43% of the respondents reported that the data samples (e.g., images) were too large to be processed at once. This was most commonly addressed by patch-based training (69%), downsampling (37%), and solving 3D analysis tasks as a series of 2D tasks. K-fold cross-validation on the training set was performed by only 37% of the participants and only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%). 48% of the respondents applied postprocessing steps. © 2022, CC BY.

关键词： Benchmarking

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