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Simulated microgravity and the lumbo-pelvic musculature development and application of novel analysis techniques and implications for lumbo-pelvic pain aetiology. University of Queensland, Australia, (2006)3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images., , , , , , , , , and . Medical Image Anal., (2018)Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation., , , , , , , and . IEEE Trans. Medical Imaging, 34 (8): 1719-1729 (2015)Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews., , , , , , and . npj Digit. Medicine, (2020)Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks., , , and . CSI@MICCAI, volume 10182 of Lecture Notes in Computer Science, page 38-48. Springer, (2016)Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge., , , and . CSI@MICCAI, volume 11397 of Lecture Notes in Computer Science, page 163-171. Springer, (2018)3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification., , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 50-58. Springer, (2014)