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Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals.

, , , , and . Comput. Methods Programs Biomed., 85 (2): 129-137 (2007)

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Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression., , , , , , and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 139-148. Springer, (2007)A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection., , , and . Artif. Intell. Medicine, 40 (2): 87-102 (2007)Real-Time Semiparametric Regression for Distributed Data Sets.. IEEE Trans. Knowl. Data Eng., 27 (2): 545-557 (2015)Mean field variational Bayesian inference for support vector machine classification., and . Comput. Stat. Data Anal., (2014)A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents., , , , , , , and . Knowledge Eng. Review, 26 (3): 283-301 (2011)Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals., , , , and . Comput. Methods Programs Biomed., 85 (2): 129-137 (2007)On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation., , , , , , , , , and . Comput. Biol. Medicine, 41 (2): 87-97 (2011)A mixed effects least squares support vector machine model for classification of longitudinal data., , , , and . Comput. Stat. Data Anal., 56 (3): 611-628 (2012)Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI., , , , , , , , , and . CBMS, page 1-8. IEEE Computer Society, (2009)Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning., , , , , , , , , and 3 other author(s). IWANN, volume 4507 of Lecture Notes in Computer Science, page 1012-1019. Springer, (2007)