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Glyph-Based Comparative Visualization for Diffusion Tensor Fields.

, , , , and . IEEE Trans. Vis. Comput. Graph., 22 (1): 797-806 (2016)

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Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes., , , and . EuroVis (Short Papers), Eurographics Association, (2014)Classification on Large Networks: A Quantitative Bound via Motifs and Graphons., , , and . CoRR, (2017)Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis., and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 150-157. Springer, (2015)Gradients Weights improve Regression and Classification., , , and . J. Mach. Learn. Res., (2016)Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles., , , , , and . ISBI, page 1479-1482. IEEE, (2012)Spherical Ridgelets for Multi-Diffusion Tensor Refinement., , and . Bildverarbeitung für die Medizin, page 437-442. Springer, (2015)Interactive Formation of Statistical Hypotheses in Diffusion Tensor Imaging., , , , , and . VCBM, page 33-43. Eurographics Association, (2019)Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography., , and . VCBM@MICCAI, page 107-115. Eurographics Association, (2018)Intelligent interaction and uncertainty visualization for efficient drusen and retinal layer segmentation in Optical Coherence Tomography., , and . Comput. Graph., (2019)Segmenting Thalamic Nuclei: What Can We Gain from HARDI?. MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 141-148. Springer, (2011)