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A deep learning approach to spine segmentation using a feed-forward chain of pixel-wise convolutional networks., , , , and . ISBI, page 868-871. IEEE, (2018)Multi-resolution deep network ensembles for cervical intervertebral disc segmentation are biased by trainer., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons., and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 723-730. Springer, (2012)Pattern Based Morphometry., , and . MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 459-466. Springer, (2011)Feature ranking based nested support vector machine ensemble for medical image classification., , , , and . ISBI, page 146-149. IEEE, (2012)Classifying medical images using morphological appearance manifolds., , and . ISBI, page 744-747. IEEE, (2013)Adaptive geodesic transform for segmentation of vertebrae on CT images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903516. SPIE, (2014)Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation., , , , , , , , , and 1 other author(s). Medical Image Anal., (2021)Segmentation and identification of fatty infiltration of the erector spinae using deep learning., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013447. SPIE, (2017)