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                        style="width: 20%; margin-right: 20px;  object-fit: contain; ">

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                        <h2>About</h2>

                <p>This website accompanies the book <b><a href="https://link.springer.com/book/9783031667886">BioMedical Visualization: Past Work, Current Trends, and Open Challenges </a></b>. 

                    The goal of this book is to provide an overview of biomedical visualization by

                    highlighting the overall trends of research through the years and the evolution of

                    topics over time. To uncover the trends, we have manually curated over 3,800

                    research publications related to biomedical visualization, which we categorized

                    according to the application field.</p>

                <p>A searchable repository of all the curated publications along with overview statistics can be found under the tab <b>Trends</b>. We complemented the publication overview with the list 

                    of available biomedical visualization tools, that can be found under the tab <b>Software</b>.</p>

                    <p>Katarína Furmanová <br>

                    Barbora Kozlíková<br>

                    Thomas Höllt<br>

                    Eduard Gröller<br>

                    Bernhard Preim<br>

                    Renata Georgia Raidou

                        <p>This website accompanies the book <b><a

                                    href="https://link.springer.com/book/9783031667886">BioMedical Visualization: Past

                                    Work, Current Trends, and Open Challenges </a></b>.

                            This book provides an overview of the many visualization strategies that have been proposed

                            in recent decades for solving problems within the disciplines of medicine and biology. It

                            also evaluates which visualization techniques applied to various areas of biomedicine have

                            been the most impactful and which challenges can be considered solved using visualization.

                            The topics covered in this book include visualization research in omics, interaction

                            networks and pathways, biological structures, tumor diagnosis and treatment, vasculature,

                            brain, surgery, educational contexts, therapy and rehabilitation, electronic health records,

                            and public health. One chapter is dedicated to general visualization techniques commonly

                            used for biomedical data, such as surface and volume rendering, as well as abstract and

                            illustrative approaches. For each of these areas, the past and present research trends are

                            discussed, highlighting the influential works. Furthermore, the book explains how research

                            is affected by developments in technology, data availability, and domain practice.

                            Individual sections also summarize the typical target users, the nature of the data, and the

                            typical tasks addressed in the given domain.</p>

                        <p>To uncover the trends, we have manually curated over 3,800 research publications related to

                            biomedical visualization, which we categorized according to the application field. A

                            searchable repository of all the curated publications along with overview statistics can be

                            found under the tab <b>Trends</b>. We complemented the publication overview with the list

                            of available biomedical visualization tools, that can be found under the tab

                            <b>Software</b>.

                        </p>

                        <hr>

                        <p><b>Katarína Furmanová</b>, Faculty of Informatics, Masaryk University, Brno, Czech Republic

                            <br>

                            <b>Barbora Kozlíková</b>, Faculty of Informatics, Masaryk University, Brno, Czech

                            Republic<br>

                            <b>Thomas Höllt</b>, Faculty of Electrical Engineering, Mathematics and Computer Science,

                            Delft University of Technology, Delft, The Netherlands<br>

                            <b>Eduard Gröller</b>, Institute of Visual Computing & Human-Centered Technology, TU Wien,

                            Wien, Austria<br>

                            <b>Bernhard Preim</b>, Faculty of Computer Science, Otto-von-Guericke University Magdeburg,

                            Magdeburg, Germany<br>

                            <b>Renata Georgia Raidou</b>, Institute of Visual Computing & Human-Centered Technology, TU

                            Wien, Wien, Austria

                        </p>

                    </div>

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                    <h3>Interaction Filters:</h3>

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                        <li><a href="https://itk.org/">ITK</a> - The Insight Toolkit</li>

                        <li><a href="https://pyvista.org/">PyVista</a></li>

                        <li><a href="https://www.uni-muenster.de/Voreen/">Voreen</a></li>

                    <li><a href="https://www.thermofisher.com/cz/en/home/electron-microscopy/products/software-em-3d-vis/amira-software.html">Amira</a></li>   

                        <li><a

                                href="https://www.thermofisher.com/cz/en/home/electron-microscopy/products/software-em-3d-vis/amira-software.html">Amira</a>

                        </li>

                        <li><a href="https://www.osirix-viewer.com/">Osirix</a></li>

                    </ul>

                </div>

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