S. Van Huffel

发表

PW7-3 Automated neonatal seizure detectors 1: heuristic approach and experience

M. De Vos, W. Deburchgraeve, P. J. Cherian, 2010, Clinical Neurophysiology.

Steady State Visual Evoked Potential (SSVEP) - Based Brain Spelling System with Synchronous and Asynchronous Typing Modes

Katrien Vanderperren, S. Van Huffel, Nikolay Chumerin, 2011 .

Bandpass filtering for the htls estimation algorithm

Joos Vandewalle, S. Van Huffel, H Chen, 1995 .

Developments around the freeware standard control library SLICOT

A.J.W. van den Boom, S. Van Huffel, 1996 .

SVD-Based modelling of medical NMR signals

S. Van Huffel, R. de Beer, D. van Ormondt, 1995 .

Ballistocardiogram artifacts in simultaneous EEG- fMRI acquisitions

Johan Wagemans, Katrien Vanderperren, S. Van Huffel, 2007 .

Computational Biosignal Processing : A Case Study Approach

S. Van Huffel, 2002 .

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach

S. Van Huffel, Jan C. Willems, B. De Moor, 2006 .

NMF in MR Spectroscopy

S. Van Huffel, Nicolas Sauwen, Diana Sima, 2016 .

SLICOT, a subroutine library in control and systems theory

Sven Hammarling, F. Dumortier, A.J.W. van den Boom, 1991 .

Biomedical Magnetic Resonance Spectroscopic Quantitation : a Review of Modern time-domain Analysis Methods

S. Van Huffel, Leentje Vanhamme, P. Van Hecke, 2001 .

Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone

Patrick Dupont, M. De Vos, S. Van Huffel, 2007, NeuroImage.

Advanced signal processing techniques for trigeminal somatosensory evoked potentials

Reinhilde Jacobs, S. Van Huffel, A Swinnen, 2000 .

Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor

Marina De Vos, P. J. Cherian, S. Van Huffel, 2016, Clinical Neurophysiology.

Advanced time-domain quantitation methods for MR spectroscopy and metabolite imaging

S. Van Huffel, D. van Ormondt, R. de Beer, 1996 .

Corrigendum to “Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor” [Clin Neurophysiol 127 (2016) 3014–3024]

P. J. Cherian, S. Van Huffel, A. Dereymaeker, 2016, Clinical Neurophysiology.

Decomposition Techniques In Neuroscience

Lieven De Lathauwer, M. De Vos, S. Van Huffel, 2011 .

IMPROVED QUANTITATIVE TIME-DOMAIN ANALYSIS OF NMR DATA BY TOTAL LEAST SQUARES.

S. Van Huffel, Joos Vandewalle, C Decanniere, 1991 .

Automated artifact removal as preprocessing refines neonatal seizure detection

M. De Vos, W. Deburchgraeve, P. J. Cherian, 2011, Clinical Neurophysiology.

Iterative improvement of lineshape estimation

S. Van Huffel, D. van Ormondt, Diana Sima, 2009 .

Combining HR-MAS and In Vivo MRI and MRSI Information for Robust Brain Tumor Recognition

S. Van Huffel, M. C. Martínez-Bisbal, T. Laudadio, 2009 .

Agent-Based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis

Paul H. Lewis, S. Van Huffel, Carles Arús, 2006 .

Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging

M. De Vos, S. Van Huffel, I. Lemahieu, 2009, Clinical Neurophysiology.

Structure preserving total least squares method and its application to parameter estimation

S. Van Huffel, Haesun Park, J. B. Rosen, 1995 .

On errors-in-variables estimation with unknown noise variance ratio

Alexander Kukush, S. Van Huffel, Ivan Markovsky, 2006 .

Lineshape estimation for magnetic resonance spectroscopy (MRS) signals: self-deconvolution revisited

S. Van Huffel, D. van Ormondt, Diana Sima, 2009 .

A Lanczos–like reduction of symmetric structured matrices to semiseparable form*

S. Van Huffel, Raf Vandebril, Nicola Mastronardi, 2005 .

On the computation of the structured total least squares estimator

Alexander Kukush, S. Van Huffel, Ivan Markovsky, 2004 .

Biology and prognosis by age of primary operable breast cancer.

Patrick Neven, S. Van Huffel, Frédéric Amant, 2009 .

Fast algorithms for signal subspace fitting with toeplitz matrices and applications to exponential data modeling

S. Van Huffel, Philippe Lemmerling, Leentje Vanhamme, 1995 .

On the equivalence between total least squares and maximum likelihood PCA

S. Van Huffel, Peter D. Wentzell, Ivan Markovsky, 2005 .

The extended classical total least squares algorithm

S. Van Huffel, 1989 .

The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location

S. Van Huffel, George Condous, Tom Bourne, 2004 .

The Use of Total Linear Least Squares Techniques for Identification and Parameter Estimation

Joos Vandewalle, S. Van Huffel, J. Vandewalle, 1985 .

Detection of Obstructive Sleep Apnea by Empirical Mode Decomposition on Tachogram

S. Van Huffel, Sergio Cerutti, Martin O. Mendez, 2009 .

Modeling Audio with Damped Sinusoids Using Total Least Squares Algorithms

Patrick Wambacq, S. Van Huffel, Werner Verhelst, 2002 .

Partial singular value decomposition algorithm ( Algorithm 32 )

S. Van Huffel, S. Huffel, 1990 .

P152 Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: preliminary results

Bart Vanrumste, S. Van Huffel, Kris Cuppens, 2009 .

Anxious women do not show the expected decrease in cardiovascular stress responsiveness as pregnancy advances

S. Van Huffel, Marijke A. K. A. Braeken, S. Huffel, 2015, Biological Psychology.

An adapted version of the element-wise weighted total least squares method for applications in chemometrics

S. Van Huffel, Ivan Markovsky, M. Schuermans, 2007 .

Processing of transient signals from damage in CFRP composite materials monitored with embedded intensity-modulated fiber optic sensors

Martine Wevers, S. Van Huffel, Laurent Rippert, 2006 .

Reliable and efficient deconvolution technique based on total linear least squares for calculating the renal retention function

S. Van Huffel, J. Vandewalle, J. L. Willems, 2006, Medical and Biological Engineering and Computing.

Optical and acoustic damage detection in laminated CFRP composite materials

Martine Wevers, S. Van Huffel, Laurent Rippert, 2000 .

Validation of a new automated neonatal seizure detection system: A clinician’s perspective

M. De Vos, W. Deburchgraeve, R. M. Swarte, 2011, Clinical Neurophysiology.

Acoustic emission monitoring using a multimode optical fibre sensor

Martine Wevers, S. Van Huffel, Steve Vandenplas, 2003 .

The suppression curve as a quantitative approach for measuring brain maturation in preterm infants

Marina De Vos, S. Van Huffel, M. De Vos, 2016, Clinical Neurophysiology.