Jan Luts

发表

Genomics and metabolomics research of Brain Tumours based on Machine Learning

Sabine Van Huffel, Alfons Juan-Císcar, Juan Miguel García-Gómez, 2007 .

Real-Time Semiparametric Regression for Distributed Data Sets

Jan Luts, J. Luts, 2013, IEEE Transactions on Knowledge and Data Engineering.

On the Implementation of HealthAgents: Agent Based Brain Tumour Diagnosis

Sabine Van Huffel, Paul H. Lewis, Horacio González-Vélez, 2007 .

Nosologic Imaging of Brain Tumors Using MRI and MRSI

Sabine Van Huffel, Johan A. K. Suykens, Dirk Vandermeulen, 2011 .

Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

Sabine Van Huffel, Salvador Tortajada, Jan Luts, 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

A mixed effects least squares support vector machine model for classification of longitudinal data

Sabine Van Huffel, Johan A. K. Suykens, Geert Molenberghs, 2012, Comput. Stat. Data Anal..

Mean field variational Bayesian inference for support vector machine classification

John T. Ormerod, Jan Luts, J. Ormerod, 2013, Comput. Stat. Data Anal..

Differentation between brain metastasis and glioblastoma using MRI and two-dimensional Turbo spectroscopic imaging data

Jan Luts, Bernardo Celda, Sabine Van Huffel, 2009 .

HealthAgents: Agent-Based Distributed Decision Support System for Brain Tumour Di

Sabine Van Huffel, Giovanni B. Valsecchi, Horacio González-Vélez, 2008 .

Nosologic imaging of the brain: segmentation and classification using MRI and MRSI

Sabine Van Huffel, Dirk Vandermeulen, Jan Luts, 2009, NMR in biomedicine.

Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2007, ICANN.

A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection

Sabine Van Huffel, Johan A. K. Suykens, Jan Luts, 2007, Artif. Intell. Medicine.

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

Sabine Van Huffel, Jan Luts, Philippe Lemmerling, 2007, Comput. Methods Programs Biomed..

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Sabine Van Huffel, Carlos Sáez, Juan Miguel García-Gómez, 2011, The Knowledge Engineering Review.

Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra

Jan Luts, Montserrat Robles, Arend Heerschap, 2008, Magnetic resonance in medicine.

The effect of combining two echo times in automatic brain tumor classification by MRS

Sabine Van Huffel, Juan M García-Gómez, Salvador Tortajada, 2008, NMR in biomedicine.

Semiparametric Regression Analysis via Infer.NET

Jan Luts, Matt P. Wand, John T. Ormerod, 2018 .

Statistical machine learning approach to multimodal magnetic resonance data processing for clinical decision support in brain tumor diagnostics

Sabine Van Huffel, Johan A. K. Suykens, Dirk Vandermeulen, 2010 .

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning

Sabine Van Huffel, Alfons Juan-Císcar, Juan Miguel García-Gómez, 2007, IWANN.

On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation

Sabine Van Huffel, Johan A. K. Suykens, Jan Luts, 2011, Comput. Biol. Medicine.

Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI

Sabine Van Huffel, Johan A. K. Suykens, Jan Luts, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Reproducibility and variance of short echo time 1H MR chemical shift imaging of the human brain at 3T with automated planning software

Sabine Van Huffel, Jan Luts, Uwe Himmelreich, 2011 .

Nosologic imaging of the brain : combined MRI and MRSI segmentation and classification

Sabine Van Huffel, Johan A. K. Suykens, Dirk Vandermeulen, 2008 .

Reproducibility of rapid short echo time CSI at 3 tesla for clinical applications

Sabine Van Huffel, Jan Luts, Uwe Himmelreich, 2013, Journal of magnetic resonance imaging : JMRI.