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Extreme learning machine for out-of-sample extension in Laplacian eigenmaps.

, , and . Pattern Recognition Letters, (2016)

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One class random forests., , , and . Pattern Recognition, 46 (12): 3490-3506 (2013)A New Random Forest Method for One-Class Classification., , , and . SSPR/SPR, volume 7626 of Lecture Notes in Computer Science, page 282-290. Springer, (2012)Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model., , , , and . ISBI, page 1404-1407. IEEE, (2013)A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes., , , and . IbPRIA, volume 5524 of Lecture Notes in Computer Science, page 225-232. Springer, (2009)Using a Priori Knowledge to Classify in Vivo Images of the Lung., , , and . ICIC (2), volume 6216 of Lecture Notes in Computer Science, page 207-212. Springer, (2010)Medical Image Synthesis with Context-Aware Generative Adversarial Networks., , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 417-425. Springer, (2017)Automatic cardiac ventricle segmentation in MR images: a validation study., , , , and . Int. J. Comput. Assist. Radiol. Surg., 6 (5): 573-581 (2011)Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging., , and . Handbook of Pattern Recognition and Computer Vision, World Scientific, (2016)Joint segmentation of right and left cardiac ventricles using multi-label graph cut., , and . ISBI, page 429-432. IEEE, (2014)Detection of pathological condition in distal lung images., , , , and . ISBI, page 1603-1606. IEEE, (2012)