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Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.

, , , , , , и . MICCAI (2), том 9901 из Lecture Notes in Computer Science, стр. 97-105. (2016)

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Nicola Ritter

Nicola Rath

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Nicola Kluge

Ernesto Nicola

 

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Dimensionality-Reduction Algorithms for Progressive Visual Analytics.. Delft University of Technology, Netherlands, (2019)base-search.net (fttudelft:oai:tudelft.nl:uuid:df6c0760-89ba-4db0-9621-19c512eb1955).The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification., , , , и . IEEE Trans. Vis. Comput. Graph., 30 (2): 1502-1515 (февраля 2024)On-the-fly automatic alignment and global registration of free-path collected 3D scans., , и . Digital Heritage (1), стр. 181-184. IEEE, (2013)Differentiable Image Parameterizations, , , и . Distill, (июля 2018)ProactiV: Studying Deep Learning Model Behavior Under Input Transformations., , , и . IEEE Trans. Vis. Comput. Graph., 30 (8): 5651-5665 (августа 2024)NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views., , , и . CoRR, (2024)Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge., , , , , , , , , и 31 other автор(ы). MLMIR@MICCAI, том 12964 из Lecture Notes in Computer Science, стр. 25-34. Springer, (2021)Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition., , , и . CoRR, (2020)An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge., , , , , , , , , и 2 other автор(ы). CoRR, (2020)Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks., , , и . ICIAP Workshops, том 13374 из Lecture Notes in Computer Science, стр. 228-239. Springer, (2022)