Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. - Ben Van Calster; Jan Luts; Johan A. K. Suykens; George Condous; Tom Bourne; Dirk Timmerman; Sabine Van Huffel (ICANN (2), 2007)

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. - Juan Miguel García-Gómez; Salvador Tortajada; Javier Vicente; Carlos Sáez; Xavier Castells; Jan Luts; Margarida Julià-Sapé; Alfons Juan-Císcar; Sabine Van Huffel; Anna Barceló; Joaquín Ariño; Carles Arús; et al. (IWANN, 2007)

A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. - Jan Luts; Arend Heerschap; Johan A. K. Suykens; Sabine Van Huffel (Artif. Intell. Medicine, 2007)

Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. - B. De Neuter; Jan Luts; Leentje Vanhamme; Philippe Lemmerling; Sabine Van Huffel (Comput. Methods Programs Biomed., 2007)

Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. - Jan Luts; Johan A. K. Suykens; Sabine Van Huffel; Teresa Laudadio; Sofie Van Cauter; Uwe Himmelreich; Enrique Molla; Jose Piquer; M. Carmen Martínez-Bisbal; Bernardo Celda (CBMS, 2009)

On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. - Geert J. Postma; Jan Luts; Albert J. Idema; Margarida Julià-Sapé; Àngel Moreno-Torres; Witek Gajewicz; Johan A. K. Suykens; Arend Heerschap; Sabine Van Huffel; Lutgarde M. C. Buydens (Comput. Biol. Medicine, 2011)

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. - Carlos Sáez; Juan Miguel García-Gómez; Javier Vicente; Salvador Tortajada; Jan Luts; David Dupplaw; Sabine Van Huffel; Montserrat Robles (Knowl. Eng. Rev., 2011)

A mixed effects least squares support vector machine model for classification of longitudinal data. - Jan Luts; Geert Molenberghs; Geert Verbeke; Sabine Van Huffel; Johan A. K. Suykens (Comput. Stat. Data Anal., 2012)

Mean field variational Bayesian inference for support vector machine classification. - Jan Luts; John T. Ormerod (Comput. Stat. Data Anal., 2014)

Real-Time Semiparametric Regression for Distributed Data Sets. - Jan Luts (IEEE Trans. Knowl. Data Eng., 2015)