Relevant bibliographies by topics / Medical visualization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Medical visualization'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Medical visualization"

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Eljadid, Mahmoud G., and Amar Aggoun. "Medical 3D Integral Images Visualization in True Space." Lecture Notes on Software Engineering 4, no. 2 (2016): 87–90. http://dx.doi.org/10.7763/lnse.2016.v4.229.

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SEKI, Yasuhiro. "Visualization on Medical Equipment." Journal of the Visualization Society of Japan 22, no. 85 (2002): 92–96. http://dx.doi.org/10.3154/jvs.22.92.

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Faao, Sherman Gorbis,, and Richard C. Hallgren. "Visualization technology in medical education." Journal of the American Osteopathic Association 99, no. 4 (1999): 211. http://dx.doi.org/10.7556/jaoa.1999.99.4.211.

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HORITA, Katsuhei, Kazunori KAJIWARA, Kunio KONDO, Yasuaki ARAI, and Choichiro KIDO. "Flow Visualization on Medical Imaging." Journal of the Visualization Society of Japan 11, no. 40 (1991): 10–15. http://dx.doi.org/10.3154/jvs.11.10.

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Maupu, D., M. H. Van Horn, S. Weeks, and E. Bullitt. "3D stereo interactive medical visualization." IEEE Computer Graphics and Applications 25, no. 5 (2005): 67–71. http://dx.doi.org/10.1109/mcg.2005.94.

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Kirmizibayrak, Can, Nadezhda Radeva, Mike Wakid, John Philbeck, John Sibert, and James Hahn. "Evaluation of Gesture Based Interfaces for Medical Volume Visualization Tasks." International Journal of Virtual Reality 11, no. 2 (2012): 1–13. http://dx.doi.org/10.20870/ijvr.2012.11.2.2839.

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Interactive systems are increasingly used in medical applications with the widespread availability of various imaging modalities. Gesture-based interfaces can be beneficial to interact with these kinds of systems in a variety of settings, as they can be easier to learn and can eliminate several shortcomings of traditional tactile systems, especially for surgical applications. We conducted two user studies that explore different gesture-based interfaces for interaction with volume visualizations. The first experiment focused on rotation tasks, where the performance of the gesture-based interfac
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Liu, Jiaqing, Ryoma Fujii, Tomoko Tateyama, Yutaro Iwamoto, and Yenwei Chen. "Kinect-Based Gesture Recognition for Touchless Visualization of Medical Images." International Journal of Computer and Electrical Engineering 9, no. 2 (2017): 421–29. http://dx.doi.org/10.17706/ijcee.2017.9.2.421-429.

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Prabha, Navaneeth, Naeema Ziyad, Navya Prasad, Jisha P. Abraham, Pristy Paul T, and Rini T Paul. "Enhanced Medical Analysis: Leveraging 3D Visualization and VR-AR Technology." Journal of Sensor Networks and Data Communications 4, no. 3 (2024): 01–09. https://doi.org/10.33140/jsndc.04.03.03.

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Modern healthcare depends heavily on medical imaging, but traditional 2D images frequently lack depth and detail. This paper introduces a novel approach, that turns 2D medical images, such as X-rays, MRIs, and CT scans, into immersive three-dimensional visualizations using virtual and augmented reality (VR/AR) technology. The process consists of four steps: acquiring DICOM medical data, converting the data into 3D models, applying the rendering modes and slicing planes, and deploying the data in VR/AR environments. Preprocessing methods evaluate and improve the quality of medical image data, w
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Zhou, Liang, Mengjie Fan, Charles Hansen, Chris R. Johnson, and Daniel Weiskopf. "A Review of Three-Dimensional Medical Image Visualization." Health Data Science 2022 (April 5, 2022): 1–19. http://dx.doi.org/10.34133/2022/9840519.

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Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers. Highlights. Fundamental visualization techniques are revisited for vari
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Hildebrand, C., J. Stausberg, K. H. Englmeier, and G. Kopanitsa. "Visualization of Medical Data Based on EHR Standards." Methods of Information in Medicine 52, no. 01 (2013): 43–50. http://dx.doi.org/10.3414/me12-01-0016.

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SummaryBackground: To organize an efficient interaction between a doctor and an EHR the data has to be presented in the most convenient way. Medical data presentation methods and models must be flexible in order to cover the needs of the users with different backgrounds and requirements. Most visualization methods are doctor oriented, however, there are indications that the involvement of patients can optimize healthcare.Objectives: The research aims at specifying the state of the art of medical data visualization. The paper analyzes a number of projects and defines requirements for a generic
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Dissertations / Theses on the topic "Medical visualization"

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Kreiser, Julian [Verfasser]. "Projection-driven medical visualization / Julian Kreiser." Ulm : Universität Ulm, 2021. http://d-nb.info/1235528146/34.

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Lindholm, Stefan. "Medical Volume Visualization Beyond Single Voxel Values." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110239.

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Medical visualization involves many complex decisions for both the user and the imaging algorithms. This thesis aims to improve medical volume visualization through a series of technical contributions to aid such decision processes. Improvements are achieved by using more data, beyond single voxels, in the associated visual analyses. Simultaneous visualization of multiple data sources and different data formats is rapidly becoming a necessity. This is due to both the growing number of data producing image acquisition techniques as well as the increase in geometric data representations that can
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Cardoso, Pedro Miguel Tenreiro. "Modeling and visualization of medical anesthesiology acts." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11400.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>In recent years, medical visualization has evolved from simple 2D images on a light board to 3D computarized images. This move enabled doctors to find better ways of planning surgery and to diagnose patients. Although there is a great variety of 3D medical imaging software, it falls short when dealing with anesthesiology acts. Very little anaesthesia related work has been done. As a consequence, doctors and medical students have had little support to study the subject of anesthesia in the human body. We all are aware o
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Vidholm, Erik. "Visualization and Haptics for Interactive Medical Image Analysis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8409.

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Sciuto, Alex. "Data Visualization for Medical Price Education and Transparency." Research Showcase @ CMU, 2015. http://repository.cmu.edu/theses/94.

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The health care system in the United States is changing rapidly. Individual patients are expected to become educated medical consumers making informed choices and paying for those choices. Many researchers and designers are studying how medical consumers understand their medical care, but there is an opportunity for meaningful design strategies using data visualization to help consumers understand how much they pay for their care. This thesis uses service and user-centered design methods and interactive data visualization to create systems that gather medical prices and display them back to us
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Jung, Younhyun. "Feature-driven Volume Visualization of Medical Imaging Data." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14040.

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Direct volume rendering (DVR) is a volume visualization technique that has been proved to be a very powerful tool in many scientific visualization domains. Diagnostic medical imaging is one such domain in which DVR provides new capabilities for the analysis of complex cases and improves the efficiency of image interpretation workflows. However, the full potential of DVR in the medical domain has not yet been realized. A major obstacle for a better integration of DVR in the medical domain is the time-consuming process to optimize the rendering parameters that are needed to generate diagnostica
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Warrick, Philip A. "A VRML-based anatomical visualization tool for medical education." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29635.pdf.

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Bjærum, Steinar. "Detection and Visualization of Moving Targets in Medical Ultrasound Imaging." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2012.

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Tuncer, Ozgur. "Segmentation, Registration And Visualization Of Medical Images For Treatment Planning." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1093368/index.pdf.

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Medical imaging has become the key to access inside human body for the purpose of diagnosis and treatment planning. In order to understand the effectiveness of planned treatment following the diagnosis, treated body part may have to be monitored several times during a period of time. Information gained from successive imaging of body part provides guidance to next step of treatment. Comparison of images or datasets taken at different times requires registration of these images or datasets since the same conditions may not be provided at all times. Accurate segmentation of the body part under t
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Kitasaka, Takayuki, Kensaku Mori, and Yasuhito Suenaga. "New Paradigm of Medical Image Processing - Visualization, Detection, and Navigation-." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10458.

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Books on the topic "Medical visualization"

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Rea, Paul M., ed. Medical Visualization and Applications of Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06735-8.

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Feng, Dong, Ghinea Gheorghita, and Chen Sherry Y, eds. User centered design for medical visualization. Medical Information Science Reference, 2008.

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Feng, Dong, Ghinea Gheorghita, and Chen Sherry Y, eds. User centered design for medical visualization. Medical Information Science Reference, 2008.

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Clancy, Jenny, and Matthieu Poyade, eds. Medical Visualization and Applications of Technology ‒ Volume 2. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63463-5.

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D, Bartz, ed. Visualization in medicine: Theory, algorithms, and applications. Morgan Kaufmann, 2007.

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Strothotte, Thomas. Computational Visualization: Graphics, Abstraction and Interactivity. Springer Berlin Heidelberg, 1999.

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Longacre, R. D. Visualization and guided imagery for pain management: Psychological concepts, medical applications. Kendall/Hunt Pub. Co., 1995.

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International, Conference on Medical Information Visualisation (5th 2008 London England). MediVis 2008: Fifth International Conference [on] BioMedical Visualization : Information Visualization in Medical and Biomedical Informatics : proceedings, 9-11 July 2008, London, United Kingdom. IEEE Computer Society, 2008.

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International Conference on Medical Information Visualisation (5th 2008 London, England). MediVis 2008: Fifth International Conference [on] BioMedical Visualization : Information Visualization in Medical and Biomedical Informatics : proceedings, 9-11 July 2008, London, United Kingdom. IEEE Computer Society, 2008.

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International Conference on Medical Information Visualisation (4th 2007 Zurich, Switzerland). Proceedings, 4th International Conference Medical Information Visualisation: BioMedical Visualisation : MediViz 2007 : 4-6 July, 2007, Zurich, Switzerland. IEEE Computer Society, 2007.

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Book chapters on the topic "Medical visualization"

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Strothotte, Thomas. "Interactive Medical Illustrations." In Computational Visualization. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-59847-0_17.

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Adams, Karen M. "Making Psychology Accessible to Students in Medical Education." In Biomedical Visualization. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81795-3_4.

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Müller, Henning. "Medical (Visual) Information Retrieval." In Information Retrieval Meets Information Visualization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36415-0_10.

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Botha, C. P., B. Preim, A. E. Kaufman, S. Takahashi, and A. Ynnerman. "From Individual to Population: Challenges in Medical Visualization." In Mathematics and Visualization. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6497-5_23.

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Beck, Rudolf, Peter Deuflhard, Hans-Christian Hege, Martin Seebaß, and Detlev Stalling. "Numerical Algorithms and Visualization in Medical Treatment Planning." In Visualization and Mathematics. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59195-2_20.

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Ratankar, Nayankumar C., Beenkumar R. Prajapati, Bhupendra G. Prajapati, and Jigna B. Prajapati. "Artificial Intelligence and Medical Visualization." In Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003333081-5.

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Meyer-Spradow, Jennis, Timo Ropinski, and Klaus Hinrichs. "Supporting Depth and Motion Perception in Medical Volume Data." In Mathematics and Visualization. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72630-2_7.

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Elmoasry, Ahmed, Mohamed Sadek Maswadah, and Lars Linsen. "Semi-Automatic Rough Classification of Multichannel Medical Imaging Data." In Mathematics and Visualization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-21608-4_5.

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L’Abbé, Ericka N., Amanda Alblas, Jan H. P. Ackermann, et al. "Bakeng se Afrika: Digital Skeletal Repository: Advancing Biological Anthropology and Medical Research in South Africa." In Biomedical Visualization. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68501-9_3.

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Malladi, R., and J. A. Sethian. "Fast Methods for Shape Extraction in Medical and Biomedical Imaging." In Mathematics and Visualization. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55987-7_1.

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Conference papers on the topic "Medical visualization"

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Gore, Himanee, Uttam Chaskar, Bhushan Borotikar, and Kalyani Bhole. "Medical Image Visualization using Augmented Reality." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842894.

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Jezek, B., K. Antos, and A. Homola. "Medicus-system for medical data visualization." In Information Technology Applications in Biomedicine. ITAB '97. Proceedings of the IEEE Engineering in Medicine and Biology Society Region 8 International Conference. IEEE, 1997. http://dx.doi.org/10.1109/itab.1997.649421.

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Grevera, George, Jayaram Udupa, Dewey Odhner, et al. "CAVASS: a computer assisted visualization and analysis software system - visualization aspects." In Medical Imaging, edited by Kevin R. Cleary and Michael I. Miga. SPIE, 2007. http://dx.doi.org/10.1117/12.711170.

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Nadeem, Saad, and Arie Kaufman. "Multimodal brain visualization." In SPIE Medical Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2016. http://dx.doi.org/10.1117/12.2217003.

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Persons, Timothy M., Richard L. Webber, Paul F. Hemler, Wolfram Bettermann, and J. Daniel Bourland. "Brachytherapy volume visualization." In Medical Imaging 2000, edited by Seong K. Mun. SPIE, 2000. http://dx.doi.org/10.1117/12.383064.

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Meyer, Joerg. "High-Fidelity Medical Visualization." In ASME 2007 2nd Frontiers in Biomedical Devices Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/biomed2007-38102.

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Brain imaging requires high levels of precision and accuracy, especially for diagnostic or surgical applications. Histological sections represent the “gold standard” in high-resolution imaging. For high-fidelity volume renderings of stacks of histological sections image registration using linear and non-linear transformations is required. Non-invasive scanning techniques, such as MRI, CT, PET, etc., produce inherently lower resolution, but better aligned imagery. By combining invasive and non-invasive scanning techniques, the advantages of various modalities can be combined into a hybrid syste
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Gatti, Claudio, Vittorio Accomazzi, Robert Chann, Sandra J. Stapleton, and Egan Done. "Vascular visualization using IAP." In Medical Imaging '99, edited by Seong K. Mun and Yongmin Kim. SPIE, 1999. http://dx.doi.org/10.1117/12.349422.

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Schafhitzel, Tobias, Friedemann Rößler, Daniel Weiskopf, and Thomas Ertl. "Simultaneous visualization of anatomical and functional 3D data by combining volume rendering and flow visualization." In Medical Imaging, edited by Kevin R. Cleary and Michael I. Miga. SPIE, 2007. http://dx.doi.org/10.1117/12.708799.

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Steen, Erik N., Bjoern Olstad, and Gaute Myklebust. "Visualization of multiattribute medical images." In Medical Imaging 1995, edited by Yongmin Kim. SPIE, 1995. http://dx.doi.org/10.1117/12.207658.

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Chinzei, Kiyoyuki, Takeyoshi Dohi, Takashi Horiuchi, et al. "Quantitative integration of multimodality medical images." In Visualization in Biomedical Computing, edited by Richard A. Robb. SPIE, 1992. http://dx.doi.org/10.1117/12.131077.

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Reports on the topic "Medical visualization"

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Zhu, Lei, Steven Haker, and Allen Tannenbaum. Area-Preserving Mappings for the Visualization of Medical Structures. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada465685.

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Burastero, S., and D. D'Alfonse. Enhanced Visualization Technologies with Medical and Manufacturing Application Final Report CRADA No. TC-1084-95. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1424636.

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Burastero, S. Enhanced Visualization Technologies with Medical and Manufacturing Application Final Report CRADA No. TC-1084-95. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/761753.

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Muyle, Aline. Analysis of DNA Methylation. Instats Inc., 2024. http://dx.doi.org/10.61700/6ayq8hff26qxn1470.

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This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes. Led by Dr Aline Muyle, participants will gain theoretical knowledge and practical skills in data preprocessing, statistical analysis, and visualization using RStudio and various bioinformatic software using Bash scripts. The workshop is suited for researchers in Biostatistics, Biology, Genetics, Ecology, Evolution, Bioinformatics, Molecular Biology, and Medical Research.
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Szekely, Pedro. First Principles Selection of Social Media Visualizations. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada582097.

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Boehm, R. F. Main task: Visualization methods in heat transfer through porous media. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10172967.

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Roy Haggerty. Transport Visualization for Studying Mass Trasnfer and Solute Transport in Permeable Media. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/836906.

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Xu, Ran. Introduction to Social Network Analysis (Free Seminar). Instats Inc., 2024. https://doi.org/10.61700/zud3mrhp34b2l1910.

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This seminar provides an introduction to social network analysis (SNA), equipping researchers in social sciences, population health science, and systems science with essential tools to examine relationships and behaviors in varied contexts, including mHealth and social media. Attendees will gain a practical understanding of the basics of network theory, data analysis, visualization methods, and real-world applications of SNA.
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Yatsymirska, Mariya, and Bohdan Markevych. MEDIA TEXTS AND PERSUASION. Ivan Franko National University of Lviv, 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12170.

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Abstract. The article clarifies specific concepts of persuasion in media texts; describes new techniques of media influence based on materials of online publications; shows the role of expressive means of language and emotions in visual communication. In social communication, persuasive logos refer to meaningful words and thoughts conveyed through mass media and logically perceived as a reasonable persuasion to proper actions based on the principles of morality, ethics, and culture; informational and influential accents. In modern science (Philosophy, Psychology, Rhetoric, Linguistics), logos
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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wide
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