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Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace.

, , , , , и . ISBI, стр. 197-200. IEEE, (2016)

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Andreas Jedynak

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Horst Bruno

 

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Voxel based morphometry in optical coherence tomography: validation and core findings., , , , , , , , и . Biomedical Applications in Molecular, Structural, and Functional Imaging, том 9788 из SPIE Proceedings, стр. 97880P. SPIE, (2016)Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace., , , , , и . ISBI, стр. 197-200. IEEE, (2016)Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss., , и . CoRR, (2014)Fully Convolutional Boundary Regression for Retina OCT Segmentation., , , , , , , и . MICCAI (1), том 11764 из Lecture Notes in Computer Science, стр. 120-128. Springer, (2019)Automatic landmarking of magnetic resonance brain images., , и . Image Processing, том 5747 из SPIE Proceedings, SPIE, (2005)A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction., , , , , , , и . Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97852P. SPIE, (2016)Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs., , , , , , , , и . FIFI/OMIA@MICCAI, том 10554 из Lecture Notes in Computer Science, стр. 202-209. Springer, (2017)Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease., , , , , , и . NeuroImage, (2016)Learning nonparametric ordinary differential equations from noisy data., , , , , и . J. Comput. Phys., (2024)Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization., , , , , , , и . Image Processing, том 9784 из SPIE Proceedings, стр. 97840P. SPIE, (2016)