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Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting.

, , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (9): 1862-1874 (2015)

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Multi-point Regression Voting for Shape Model Matching., , , , and . MIUA, volume 90 of Procedia Computer Science, page 48-53. Elsevier, (2016)Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (9): 1862-1874 (2015)Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting., , , and . CSI@MICCAI, volume 10182 of Lecture Notes in Computer Science, page 51-63. Springer, (2016)Bayesian and non-Bayesian probabilistic models for medical image analysis., , , , , and . Image Vis. Comput., 21 (10): 851-864 (2003)Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration., , and . MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 607-614. Springer, (2004)Real-time Body Tracking Using a Gaussian Process Latent Variable Model., , , , and . ICCV, page 1-8. IEEE Computer Society, (2007)Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting., , and . CSI@MICCAI, volume 9402 of Lecture Notes in Computer Science, page 38-51. Springer, (2015)Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling., , , and . MSKI@MICCAI, volume 10734 of Lecture Notes in Computer Science, page 133-147. Springer, (2017)Biomechanical simulation of atrophy in MR images., , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Fusion Contours as a Source of Segmentation Training Data: A Simulation Study., , , , and . ISBI, page 1-6. IEEE, (2023)