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HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning.

, , , , , , , , , и . BIBM, стр. 1886-1889. IEEE, (2023)

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HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning., , , , , , , , , и . BIBM, стр. 1886-1889. IEEE, (2023)MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision., , , , и . MIDOG/MOOD/Learn2Reg@MICCAI, том 13166 из Lecture Notes in Computer Science, стр. 119-126. Springer, (2021)DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization., , , и . DGM4MICCAI/DALI@MICCAI, том 13003 из Lecture Notes in Computer Science, стр. 259-267. Springer, (2021)Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation., , , , , и . ECCV (29), том 12374 из Lecture Notes in Computer Science, стр. 762-780. Springer, (2020)Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort, , , , , , , , , и 15 other автор(ы). Investigative Radiology, (2022)Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies, , , , , , , , , и 15 other автор(ы). Scientific Reports, 12 (1): 18733 (2022)Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain., , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 230-240. PMLR, (2020)