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, 2021 This data visualization (dataviz) infographics presents six plots based on COVID-19 data from hospitalized patients during the pandemic Spanish first wave. Each graphic explores different statistical concepts. Code available at: https://github.com/GRBio/Dataviz/ This project is part of the GRBIO Divulga initiative from the research group GRBIO.
Besalú Mayol, Mireia +8 more
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Frontiers in Immunology, 2022 AimThe term “Cuproptosis” was coined to describe a novel type of cell death triggered by intracellular copper buildup that is fundamentally distinct from other recognized types such as autophagy, ferroptosis, and pyroptosis in recent days.
Xufeng Huang +5 more
doaj +1 more source
A systematic comparison of deep learning methods for EEG time series analysis
Frontiers in Neuroinformatics, 2023 Analyzing time series data like EEG or MEG is challenging due to noisy, high-dimensional, and patient-specific signals. Deep learning methods have been demonstrated to be superior in analyzing time series data compared to shallow learning methods which ...
Dominik Walther +4 more
doaj +1 more source
Exploring narrativity in data visualization in journalism [PDF]
, 2020 Many news stories are based on data visualization, and storytelling with data has become a buzzword in journalism. But what exactly does storytelling with data mean? When does a data visualization tell a story? And what are narrative constituents in data
Weber, Wibke
core +1 more source
The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem
Scientific Data, 2023 We present a multidisciplinary forest ecosystem 3D perception dataset. The dataset was collected in the Hainich-Dün region in central Germany, which includes two dedicated areas, which are part of the Biodiversity Exploratories - a long term research ...
Stefan Milz +9 more
doaj +1 more source
Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles
Mathematics, 2023 An important concern with regard to the ensembles of algorithms is that using the individually optimal parameter settings of the members does not necessarily maximize the performance of the ensemble itself.
János Tóth +3 more
doaj +1 more source
Cosmography and Data Visualization [PDF]
Publications of the Astronomical Society of the Pacific, 2017 Accepted for publication in the PASP Special Focus Issue: Techniques and Methods for Astrophysical Data ...
Daniel Pomarède +3 more
openaire +7 more sources
Undoing Seamlessness: Exploring Seams for Critical Visualization [PDF]
, 2022 While seamful design has been part of discourses and work within HCI contexts for some time, it has not yet been fully explored in data visualization design. At the same time, critics of visualization have been arguing that the representation of data as contextual, contingent, relational, partial, heterogeneous, and situated is currently lacking in ...
arxiv +1 more source
Visualization of Biomedical Data [PDF]
Annual Review of Biomedical Data Science, 2018 The rapid increase in volume and complexity of biomedical data requires changes in research, communication, and clinical practices. This includes learning how to effectively integrate automated analysis with high–data density visualizations that clearly express complex phenomena.
James B. Procter +15 more
openaire +4 more sources
Fully automatic wound segmentation with deep convolutional neural networks
Scientific Reports, 2020 Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion by 2024.
Chuanbo Wang +7 more
doaj +1 more source