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Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks., , , , и . ISBI, стр. 868-871. IEEE, (2018)Pattern Based Morphometry., , и . MICCAI (2), том 6892 из Lecture Notes in Computer Science, стр. 459-466. Springer, (2011)Feature ranking based nested support vector machine ensemble for medical image classification., , , , и . ISBI, стр. 146-149. IEEE, (2012)Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons., и . MICCAI (1), том 7510 из Lecture Notes in Computer Science, стр. 723-730. Springer, (2012)Classifying medical images using morphological appearance manifolds., , и . ISBI, стр. 744-747. IEEE, (2013)Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97852I. SPIE, (2016)A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease., , и . PRNI, стр. 105-108. IEEE Computer Society, (2012)Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets., , , , , , , , , и 4 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Adaptive geodesic transform for segmentation of vertebrae on CT images., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 903516. SPIE, (2014)