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IEEE Computer Graphics and Applications
|
January 23, 2019
Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research
Christina Gillmann, Tobias Post, Thomas Wischgoll, et al.
IEEE Computer Graphics and Applications
|
April 14, 2025
How FAIR is VIS?
Daniel Wiegreffe, Christoph Garth, Guido Reina, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 19, 2023
Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network
Ariel Iporre-Rivas, Dorothee Saur, Karl Rohr, et al.
IEEE Computer Graphics and Applications
|
September 10, 2021
Visualizing Multimodal Deep Learning for Lesion Prediction
Christina Gillmann, Lucas Peter, Carlo Schmidt, et al.
IEEE Computer Graphics and Applications
|
August 18, 2023
A Taxonomy of Uncertainty Events in Visual Analytics
Christina Gillmann, Robin Georg Claus Maack, Felix Raith, et al.
IEEE Computer Graphics and Applications
|
September 10, 2021
Ten Open Challenges in Medical Visualization
Christina Gillmann, Noeska N Smit, Eduard Groller, et al.
Translational Stroke Research
|
May 30, 2023
Tissue Outcome Prediction in Patients with Proximal Vessel Occlusion and Mechanical Thrombectomy Using Logistic Models
Florian Welle, Kristin Stoll, Christina Gillmann, et al.
Brain : a Journal of Neurology
|
January 19, 2025
Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning
Marie-Sophie von Braun, Kristin Starke, Lucas Peter, et al.
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Search research articles
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Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
IEEE Computer Graphics and Applications
|
January 23, 2019
Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research
Christina Gillmann, Tobias Post, Thomas Wischgoll, et al.
IEEE Computer Graphics and Applications
|
April 14, 2025
How FAIR is VIS?
Daniel Wiegreffe, Christoph Garth, Guido Reina, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 19, 2023
Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network
Ariel Iporre-Rivas, Dorothee Saur, Karl Rohr, et al.
IEEE Computer Graphics and Applications
|
September 10, 2021
Visualizing Multimodal Deep Learning for Lesion Prediction
Christina Gillmann, Lucas Peter, Carlo Schmidt, et al.
IEEE Computer Graphics and Applications
|
August 18, 2023
A Taxonomy of Uncertainty Events in Visual Analytics
Christina Gillmann, Robin Georg Claus Maack, Felix Raith, et al.
IEEE Computer Graphics and Applications
|
September 10, 2021
Ten Open Challenges in Medical Visualization
Christina Gillmann, Noeska N Smit, Eduard Groller, et al.
Translational Stroke Research
|
May 30, 2023
Tissue Outcome Prediction in Patients with Proximal Vessel Occlusion and Mechanical Thrombectomy Using Logistic Models
Florian Welle, Kristin Stoll, Christina Gillmann, et al.
Brain : a Journal of Neurology
|
January 19, 2025
Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning
Marie-Sophie von Braun, Kristin Starke, Lucas Peter, et al.
Page
of 1