Sabine Van Huffel

Sabine Van Huffel, Rik Willems, Griet Goovaerts, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Mathematics in biomedical signal processing

Sabine Van Huffel, 2001 .

New approaches for the adaptive segmentation of neonatal EEG signals

Sabine Van Huffel, Maarten De Vos, W. Deburchgraeve, 2009 .

Improvement and Validation of an Automated Neonatal Seizure Detector

Sabine Van Huffel, Maarten De Vos, W. Deburchgraeve, 2011, BIOSIGNALS.

Level choice in truncated total least squares

Sabine Van Huffel, Diana Maria Sima, S. Huffel, 2007, Comput. Stat. Data Anal..

The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2011, NeuroImage.

Unsupervised brain tumor tissue differentiation based on MRSI with correction for the chemical shift displacement artifact

Sabine Van Huffel, Uwe Himmelreich, Sofie Van Cauter, 2013 .

Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging

Sabine Van Huffel, Lieven De Lathauwer, Uwe Himmelreich, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A blind source separation technique to remove muscle artifacts in the electroencephalogram without affecting beta activity

Wim Van Paesschen, Sabine Van Huffel, Anneleen Vergult, 2005 .

Identifying constituent tumor tissues subclasses in HR-MAS spectra using advanced blind source separation techniques

Sabine Van Huffel, Anca Croitor Sava, Diana Sima, 2010 .

Interval Coded Scoring: Towards Data-derived Medical Scoring Systems

Sabine Van Huffel, Lieven Billiet, 2017 .

Structured total least squares methods in signal processing

Sabine Van Huffel, Bart De Moor, Philippe Lemmerling, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Online seizure detection in adults with temporal lobe epilepsy using single-lead ECG

Sabine Van Huffel, Evelien Carrette, Alfred Meurs, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Bayesian Least Squares Support Vector Machines for Classification of Ovarian Tumors

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2004 .

Automatic Burst Detection based on Line Length in the Premature EEG

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2013, BIOSIGNALS.

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2007, Comput. Intell. Neurosci..

Sleep Apnea Hypopnea Syndrome classification in SpO2 signals using wavelet decomposition and phase space reconstruction

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2017, 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Improved signal enhancement procedures applied to exponential data modeling

Sabine Van Huffel, Ioannis Dologlou, Dirk van Ormondt, 1997, IEEE Trans. Signal Process..

Fast and accurate parameter estimation of noisy complex exponentials with use of prior knowledge

Sabine Van Huffel, Leentje Vanhamme, Aad van den Boogaart, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Subspace-based exponential data modeling using prior knowledge

Sabine Van Huffel, D. van Ormondt, S. Huffel, 1998 .

On the Implementation of HealthAgents: Agent Based Brain Tumour Diagnosis

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

Resolution improvement by minimum variance signal enhancement

Sabine Van Huffel, Paul Van Hecke, C Decanniere, 1994 .

Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles

Sabine Van Huffel, Frederik Maes, François Cotton, 2017, IEEE Journal of Biomedical and Health Informatics.

A new and fast approach towards sEMG decomposition

Sabine Van Huffel, Maarten De Vos, Ivan Gligorijevic, 2012, Medical & Biological Engineering & Computing.

Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

bioprofile of sleep

Wim Van Paesschen, Sabine Van Huffel, Karen O. Egiazarian, 2005 .

Numerical linear algebra and its applications

Sabine Van Huffel, Nicola Mastronardi, 2005, Numer. Linear Algebra Appl..

Tensor decompositions and data fusion in epileptic EEG and fMRI data

Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, 2017 .

Multi-sparse signal recovery for compressive sensing

Sabine Van Huffel, Maarten De Vos, Yipeng Liu, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Patch based super-resolution of MR spectroscopic images

Sabine Van Huffel, Frederik Maes, Dirk Smeets, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Integrating video and accelerometer signals for nocturnal epileptic seizure detection

Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan, 2012, ICMI '12.

Generalization Capacity of Neural Networks for the Classification of ovarium tumours

Sabine Van Huffel, E Lerouge, 1999 .

Fast Structured Total Least Squares Algorithm for Solving the Basic Deconvolution Problem

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2000, SIAM J. Matrix Anal. Appl..

Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study

Sabine Van Huffel, Vanya Van Belle, Lieven Billiet, 2016, ICPRAM.

On the computation of the multivariate structured total least squares estimator

Sabine Van Huffel, Alexander Kukush, Ivan Markovsky, 2004, Numer. Linear Algebra Appl..

Study of ballistocardiogram artifacts in simultaneous EEG-fMRI acquisitions

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2007 .

Brain tumor classification based on long echo proton MRS signals

Sabine Van Huffel, Johan A. K. Suykens, Carles Arús, 2004, Artif. Intell. Medicine.

Detection of Epileptic Seizures Using Video Data

Sabine Van Huffel, Bart Vanrumste, Kris Cuppens, 2010, 2010 Sixth International Conference on Intelligent Environments.

Comparison of different compressed sensing algorithms for low SNR 19F application --- imaging of transplanted pancreatic islets with PFCE labeled

Sabine Van Huffel, Sayuan Liang, Karim Louchami, 2015 .

An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification

Sabine Van Huffel, Vasileios Exadaktylos, Jos Vander Sloten, 2014, IEEE Journal of Biomedical and Health Informatics.

Stress classification by separation of respiratory modulations in heart rate variability using orthogonal subspace projection

Sabine Van Huffel, Devy Widjaja, Elke Vlemincx, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children

Sabine Van Huffel, Lieven Lagae, Berten Ceulemans, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

NICONET; network for performant numerical software development in control engineering

Sabine Van Huffel, Ad van den Boom, 1997 .

Advanced EEG Processing for the Detection of Drowsiness in Drivers

Sabine Van Huffel, Milica Milosevic, Griet Goovaerts, 2014, BIOSIGNALS.

Reliability of Statistical Features Describing Neural Spike Trains in the Presence of Classification Errors

Sabine Van Huffel, Ivan Gligorijevic, Ninah Koolen, 2012, BIOSIGNALS.

Total Least Squares and Errors-in-variables Modeling

Sabine Van Huffel, Alexander Kukush, Nicola Mastronardi, 2007, Comput. Stat. Data Anal..

Automatic detection and localization of epilepsy in the electroencephalogram

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

A Geometric Newton Method for Oja's Vector Field

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Neural Computation.

Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization

Sabine Van Huffel, Yiming Pi, Yuqian Li, 2012, BIOSIGNALS.

Evaluation of methods for determining a pre-ictal state in scalp-EEG measurements

Wim Van Paesschen, Sabine Van Huffel, Wim De Clercq, 2002 .

Independent component analysis as a preprocessing step for data compression of neonatal EEG

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Nosologic Imaging of Brain Tumors Using MRI and MRSI

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

Consistent estimation in an implicit quadratic measurement error model

Sabine Van Huffel, Alexander Kukush, Ivan Markovsky, 2004, Comput. Stat. Data Anal..

Time-domain spectroscopic quantitation

Sabine Van Huffel, Paul Van Hecke, Leentje Vanhamme, 2002 .

A class of template splines

Sabine Van Huffel, Diana M. Sima, 2006, Comput. Stat. Data Anal..

Assessment of different methodologies to include temporal information in classifying episodes of sleep apnea based on single-lead electrocardiogram

Sabine Van Huffel, Jos Vander Sloten, Bart Haex, 2014, Computing in Cardiology 2014.

Cardiorespiratory Dynamic Response to Mental Stress: A Multivariate Time-Frequency Analysis

Sabine Van Huffel, Michele Orini, Devy Widjaja, 2013, Comput. Math. Methods Medicine.

Improvement of an automated neonatal seizure detector using a post-processing technique

Sabine Van Huffel, Maarten De Vos, P. J. Cherian, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of pregnancy of unknown location outcome: the difficult yet important case of ectopic pregnancy

Sabine Van Huffel, Dirk Timmerman, Ben Van Calster, 2005 .

Feature selection methods for accelerometry-based seizure detection in children

Sabine Van Huffel, Bart Vanrumste, Bert Bonroy, 2016, Medical & Biological Engineering & Computing.

The Use of Continuous Regularization in the Automated Analysis of MRS Time-Domain Data

Sabine Van Huffel, Danielle Graveron-Demilly, Aad van den Boogaart, 1997 .

Characterization of the respiratory and heart beat signal from an air pressure-based ballistocardiographic setup

Sabine Van Huffel, Jos Vander Sloten, Bart Haex, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

IQML-like algorithms for solving structured total least squares problems: a unified view

Sabine Van Huffel, Bart De Moor, Philippe Lemmerling, 2001, Signal Process..

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..

Speech compression based on exact modeling and structured total least norm optimization

Sabine Van Huffel, Ioannis Dologlou, Philippe Lemmerling, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Decimative subspace-based parameter estimation techniques

Sabine Van Huffel, Philippe Lemmerling, Geert Morren, 2003, Signal Process..

Prediction of mental development of preterm newborns at birth time using LS-SVM

Sabine Van Huffel, Johan A. K. Suykens, Chuan Lu, 2002, ESANN.

Metabolite Quantification in MRS and Pattern Recognition

Sabine Van Huffel, Diana Sima, Jean-Baptiste Poullet, 2009 .

Flexible hemodynamic coupling in EEG-fMRI: circumventing the GLM by structured coupled matrix-tensor factorization

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2017 .

Structured weighted low rank approximation

Sabine Van Huffel, Philippe Lemmerling, M. Schuermans, 2004, Numer. Linear Algebra Appl..

An efficient Total Least Squares algorithm based on a rank-revealing two-sided orthogonal decomposition

Sabine Van Huffel, Hongyuan Zha, 2005, Numerical Algorithms.

An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation

Sabine Van Huffel, Xin Liu, Yi Yao, 2017, Comput. Biol. Medicine.

Support vector methods for survival analysis: a comparison between ranking and regression approaches

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2011, Artif. Intell. Medicine.

Classifying the auditory P300 using mobile EEG recordings without calibration phase

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bayesian predictive models for ovarian cancer classification : evalution of logistic regression, multi layer perceptron and belief network models in the Bayesian context

Sabine Van Huffel, Joos Vandewalle, Bart De Moor, 2000 .

Interval Coded Scoring extensions for larger problems

Sabine Van Huffel, Vanya Van Belle, Lieven Billiet, 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

Estimation in a linear multivariate measurement error model with a change point in the data

Sabine Van Huffel, Alexander Kukush, Ivan Markovsky, 2007, Comput. Stat. Data Anal..

Numerical Linear Algebra in Signal Processing Applications

Sabine Van Huffel, Gene H. Golub, Marc Moonen, 2007, EURASIP J. Adv. Signal Process..

Complexity Analysis of Neonatal EEG Using Multiscale Entropy: Applications in Brain Maturation and Sleep Stage Classification

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, Entropy.

Hierarchical non-negative matrix factorization using multi-parametric MRI to assess tumor heterogeneity within gliomas

Sabine Van Huffel, Frederik Maes, Jelle Veraart, 2015 .

Separating respiratory influences from the tachogram: Methods and their sensitivity to the type of respiratory signal

Sabine Van Huffel, Luca Faes, Carolina Varon, 2014, Computing in Cardiology 2014.

Effect of telehealth on self-care behavior of heart failure patients

Sabine Van Huffel, Carolina Varon, Stuart Thomson, 2014, Computing in Cardiology 2014.

An approach using extreme value statistics to detect rare movement events in a bio-medical dataset

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2013 .

On SVD-based and TLS-based high-order Yule-Walker methods of frequency estimation

Sabine Van Huffel, Torsten Söderström, Petre Stoica, 1992, Signal Process..

A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT)

Sabine Van Huffel, Giorgio Terracina, Francesco Calimeri, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Jacobi iterations for spatially constrained Independent Component Analysis

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

Multi-class AUC metrics and weighted alternatives

Sabine Van Huffel, Vanya Van Belle, Dirk Timmerman, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Removal of respiratory influences from heart rate during emotional stress

Sabine Van Huffel, Jesús Lázaro, Raquel Bailón, 2017, 2017 Computing in Cardiology (CinC).

Respiratory Sinus Arrhythmia in Apnea Patients With Apnea Associated Comorbidities

Sabine Van Huffel, Raquel Bailón, Carolina Varon, 2018, 2018 Computing in Cardiology Conference (CinC).

Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection

Sabine Van Huffel, Lieven De Lathauwer, Sibasankar Padhy, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Comparative performance study of least-squares and total least squares Yule-Walker estimates of autoregressive parameters

Sabine Van Huffel, Petre Stoica, A Stoian, 1990 .

Consistent least squares fitting of ellipsoids

Sabine Van Huffel, Alexander Kukush, Ivan Markovsky, 2004, Numerische Mathematik.

On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents

Sabine Van Huffel, Paul H. Lewis, Horacio González-Vélez, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops.

A spline-based tool to assess and visualize the calibration of multiclass risk predictions

Sabine Van Huffel, Dirk Timmerman, Ben Van Calster, 2015, J. Biomed. Informatics.

Detection, multichannel SVD based filtering and characterization of trigeminal somatosensory evoked potentials

Sabine Van Huffel, Reinhilde Jacobs, A Swinnen, 1999 .

Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram

Wim Van Paesschen, Sabine Van Huffel, Bart Vanrumste, 2006, IEEE Transactions on Biomedical Engineering.

Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing

Sabine Van Huffel, Hui Wang, Qun Wan, 2015, BIOSIGNALS.

NeoGuard: a public, online learning platform for neonatal seizures

Sabine Van Huffel, Maarten De Vos, Anneleen Dereymaeker, 2019 .

Detection of epileptic convulsions from accelerometry signals through machine learning approach

Sabine Van Huffel, Bart Vanrumste, Bert Bonroy, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Automated Detection of Tonic–Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients

Sabine Van Huffel, Bart Vanrumste, Bert Bonroy, 2016, IEEE Journal of Biomedical and Health Informatics.

Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data

Sabine Van Huffel, Maarten De Vos, Anneleen Dereymaeker, 2018, IEEE Journal of Biomedical and Health Informatics.

Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2009, IWANN.

The MCA EXIN neuron for the minor component analysis

Sabine Van Huffel, Giansalvo Cirrincione, Maurizio Cirrincione, 2002, IEEE Trans. Neural Networks.

Perceptual audio modeling with exponentially damped sinusoids

Sabine Van Huffel, Patrick Wambacq, Werner Verhelst, 2005, Signal Process..

Decomposition of a Multiscale Entropy Tensor for Sleep Stage Identification in Preterm Infants

Sabine Van Huffel, Gunnar Naulaers, Ofelie De Wel, 2019, Entropy.

Simultaneous Greedy Analysis Pursuit for compressive sensing of multi-channel ECG signals

Sabine Van Huffel, Yipeng Liu, Yurrit Avonds, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Evaluation of a Continuous ECG Quality Indicator Based on the Autocorrelation Function

Sabine Van Huffel, Jonathan Moeyersons, Carolina Varon, 2018, 2018 Computing in Cardiology Conference (CinC).

Modeling the Recovery of the Sympathetic and Parasympathetic Modulation in Astronauts after Short and Long Duration Space Missions

Sabine Van Huffel, Steven Vandeput, Bart Verheyden, 2009 .

The numerics in control network NICONET

Sabine Van Huffel, A.J.W. van den Boom, S. Huffel, 1998 .

Fast algorithms for exponential data modeling

Sabine Van Huffel, Haesun Park, Lars Eldén, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

On the equivalence of constrained total least squares and structured total least squares

Sabine Van Huffel, Bart De Moor, Philippe Lemmerling, 1996, IEEE Trans. Signal Process..

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2003, AIME.

A JAVA-based graphical user interface for the displaying and processing of MRSI data of the prostate

Sabine Van Huffel, Paul Van Hecke, Leentje Vanhamme, 2002 .

Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis

Sabine Van Huffel, Maarten De Vos, Ivan Gligorijevic, 2010, IEEE Transactions on Biomedical Engineering.

Classification of ovarian tumor using Bayesian least squares support vector machines

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2003 .

R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks

Sabine Van Huffel, Jonathan Moeyersons, Carolina Varon, 2019, PeerJ. Computer science.

Fast structured TLS algorithms via exploitation of the displacement structure

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2001 .

Bayesian model selection of template forward models for EEG source reconstruction

Sabine Van Huffel, Maarten De Vos, Hans Hallez, 2014, NeuroImage.

Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG

Sabine Van Huffel, Maarten De Vos, Ivan Gligorijevic, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Improved methods for exponential parameter estimation in the presence of known poles and noise

Sabine Van Huffel, Joos Vandewalle, Hua Chen, 1997, IEEE Trans. Signal Process..

Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework

Sabine Van Huffel, Luca Faes, Giandomenico Nollo, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy

Patrick Dupont, Simon Tousseyn, Wim Van Paesschen, 2015, NeuroImage.

Hierarchical non-negative matrix factorization applied to in vivo 3T MRSI prostate data for automatic detection and visualization of tumours

Sabine Van Huffel, Anca Croitor Sava, A. Heerschap, 2013 .

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach

Sabine Van Huffel, Michel Verleysen, Maarten De Vos, 2015, BIOSIGNALS.

Sleep Apnea Detection Using Pulse Photoplethysmography

Sabine Van Huffel, Jesús Lázaro, Carolina Varon, 2018, 2018 Computing in Cardiology Conference (CinC).

Two-level ℓ1 minimization for compressed sensing

Sabine Van Huffel, Johan A. K. Suykens, Lei Shi, 2015, Signal Process..

Incorporating higher dimensionality in joint decomposition of EEG and fMRI

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach

Sabine Van Huffel, Lieven Billiet, Thijs Willem Swinnen, 2018, Informatics.

Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data

Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, 2017, WIREs Data Mining Knowl. Discov..

Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants

Sabine Van Huffel, Gunnar Naulaers, Alexander Caicedo, 2018, Complex..

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

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

Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification

Sabine Van Huffel, Gunnar Naulaers, Amir Hossein Ansari, 2019, BNAIC/BENELEARN.

Recent Advances in Biomedical Signal Processing

Sabine Van Huffel, Misha Pavel, Alberto Olivares, 2012 .

Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization

Sabine Van Huffel, Yiming Pi, Yuqian Li, 2012, BIOSIGNALS.

Automatic frequency correction for quantitation of magnetic resonance spectroscopic images

Sabine Van Huffel, Paul Van Hecke, Yu Wang, 2001 .

How might we combine the information we know about a mass better ? The use of mathematical models to handle medical data

Sabine Van Huffel, Bart De Moor, Dirk Timmerman, 2000 .

Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration

Sabine Van Huffel, Johan A. K. Suykens, Carolina Varon, 2012, IEEE Transactions on Biomedical Engineering.

Biomedical Engineering Systems and Technologies: 5th International Joint Conference, BIOSTEC 2012, Vilamoura, Portugal, February 1-4, 2012, Revised Selected Papers

Sabine Van Huffel, Joaquim Gabriel, Jan Schier, 2013 .

State-space based approximation methods for the harmonic retrieval problem in the presence of known signal poles

Sabine Van Huffel, Joos Vandewalle, Hua Chen, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Artefact detection and quality assessment of ambulatory ECG signals

Sabine Van Huffel, Jonathan Moeyersons, Elena Smets, 2019, Comput. Methods Programs Biomed..

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (Mathematical Modeling and Computation) (Mathematical Modeling and Computation)

Sabine Van Huffel, Bart De Moor, Jan C. Willems, 2006 .

One-bit Matrix Compressed Sensing Algorithm for Sparse Matrix Recovery

Sabine Van Huffel, Hui Wang, Qun Wan, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A user-friendly approach to sleep stage classification using heart rate, breathing rate and movement

Sabine Van Huffel, Vasileios Exadaktylos, Jos Vander Sloten, 2012 .

Activity recognition for physical therapy: fusing signal processing features and movement patterns

Sabine Van Huffel, Lieven Billiet, Thijs Willem Swinnen, 2016, iWOAR.

Can muscle artifact removal improve seizure detection in scalp EEG

Sabine Van Huffel, Anneleen Vergult, J Gotman, 2006 .

Towards a Clinical Decision Support System for Pregnancies of Unknown Location

Sabine Van Huffel, Dirk Timmerman, Ben Van Calster, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Concept of bridging the lesion cavity wall with stimulating and recording devices in the central nervous system

Sabine Van Huffel, Jean-Pierre Kruth, Wolfgang Eberle, 2010 .

Learning Transformation Models for Ranking and Survival Analysis

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2011, J. Mach. Learn. Res..

Total least squares and errors-in-variables modeling

Sabine Van Huffel, Torsten Söderström, Richard J. Vaccaro, 2007, Signal Process..

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.

Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis

Sabine Van Huffel, Johan A. K. Suykens, Carolina Varon, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of the maximal heart rate to improve online tonic-clonic seizure detection using ECG

Wim Van Paesschen, Sabine Van Huffel, Bart Vanrumste, 2015, 2015 Computing in Cardiology Conference (CinC).

High-PerformanceSoftware for Control

Sabine Van Huffel, Andras Varga, Vasile Sima, 2004 .

The element-wise weighted total least-squares problem

Sabine Van Huffel, Alexander Kukush, Maria Luisa Rastello, 2006, Comput. Stat. Data Anal..

The “why” and “how” of JointICA: Results from a visual detection task

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2012, NeuroImage.

Integration-by-prediction of simultaneous ERP and fMRI to peripherally presented checkerboard segments

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2010 .

Tensor-based detection of T wave alternans in multilead ECG signals

Sabine Van Huffel, Carolina Varon, Rik Willems, 2014, Computing in Cardiology 2014.

2. Approximate Modeling via Misfit Minimization

Sabine Van Huffel, Bart De Moor, Jan C. Willems, 2006 .

Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2008, Numerical Algorithms.

Automatic muscle artifact removal as a preprocessing technique for seizure detection

Sabine Van Huffel, Maarten De Vos, Anneleen Vergult, 2006 .

Bandpass prefiltering for exponential data fitting with known frequency region of interest

Sabine Van Huffel, Joos Vandewalle, Hua Chen, 1996, Signal Process..

Robust Cosparse Greedy Signal Reconstruction for Compressive Sensing with Multiplicative and Additive Noise pdf

Sabine Van Huffel, Yipeng Liu, Yurrit Avonds, 2013, ArXiv.

Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy

Sabine Van Huffel, Paulo J. G. Lisboa, Dirk Timmerman, 2007, ISNN.

Phase-Rectified Signal Averaging for automatic detection of QRS fragmentation

Sabine Van Huffel, Carolina Varon, Rik Willems, 2016, 2016 Computing in Cardiology Conference (CinC).

Automatic artifact removal of resting-state fMRI with Deep Neural Networks

Sabine Van Huffel, Christos Chatzichristos, Christos Theodoropoulos, 2020 .

Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment

Sabine Van Huffel, Arthur Spaepen, Ivan Gligorijevic, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The use of LS-SVM in the classification of brain tumors based on 1H-MR spectroscopy signals

Sabine Van Huffel, Johan A. K. Suykens, Carles Arús, 2002 .

Tensor- versus matrix-based algorithms in exponential data fitting (abstract)

Sabine Van Huffel, Pierre-Antoine Absil, Mariya Ishteva, 2010 .

Differences in the cerebral hemodynamics regulation mechanisms of premature infants with intra-ventricular hemorrhage assessed by means of phase rectified signal averaging

Sabine Van Huffel, Carolina Varon, Gunnar Naulaers, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Dictionaries of waveforms for frequency analysis of simulated spindles

Wim Van Paesschen, Sabine Van Huffel, Karen O. Egiazarian, 2005 .

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

Sabine Van Huffel, Eric Achten, Frederik Maes, 2017, BMC Medical Imaging.

Detection of body movement using optical flow and clustering

Sabine Van Huffel, Liesbet Lagae, Bert Bonroy, 2011 .

Biomedical Engineering Systems and Technologies

Sabine Van Huffel, Joaquim Gabriel, Jan Schier, 2012, Communications in Computer and Information Science.

Neural signal analysis and artifact removal in single and multichannel in-vivo deep brain recordings

Sabine Van Huffel, Wolfgang Eberle, Carmen Bartic, 2009 .

Fast and stable algorithms for blackbox MRS data quantitation

Sabine Van Huffel, Nicola Mastronardi, Leentje Vanhamme, 2001 .

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Heart beat detection in multimodal data using signal recognition and beat location estimation

Sabine Van Huffel, Carolina Varon, Griet Goovaerts, 2014, Computing in Cardiology 2014.

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Total Least Squares and Errors- In-Variables Modeling: Bridging the Gap Between Statistics, Computational Mathematics and Engineering

Sabine Van Huffel, S. Huffel, 2002 .

Spatially Constrained Independent Component Analysis for real-time eye artifact removal from the electroencephalogram

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

The power of tensor decompositions in biomedical applications

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2016 .

Study of rupture of membranes before 26 weeks of gestation

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2002 .

On the Significance of Nongeneric Total Least Squares Problems

Sabine Van Huffel, 1992, SIAM J. Matrix Anal. Appl..

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2015, IEEE Transactions on Biomedical Engineering.

Alpha and low-beta oscillatory patterns extracted with Canonical PolyadicDecomposition relate to LDA classifier performance in real-life Mobile

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2016 .

Algorithm for imposing SOBI-type constraints on the CP model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Automation of spectroscopic scoring of prostate MRSI by a canonical analysis based classification

Sabine Van Huffel, Maarten De Vos, John Kurhanewicz, 2006 .

Comparison of model function fitting algorithms for the quantification of strongly overlapping peaks in 31P NMR spectra

Sabine Van Huffel, Paul Van Hecke, D. van Ormondt, 1993 .

Using prior knowledge in SVD-based parameter estimation for magnetic resonance spectroscopy-the ATP example

Sabine Van Huffel, Petre Stoica, Yngve Selén, 2004, IEEE Transactions on Biomedical Engineering.

Irregular heartbeat detection using sequentially truncated multilinear singular value decomposition

Sabine Van Huffel, Carlos R. Vázquez-Seisdedos, Alexander A. Suárez León, 2017, 2017 Computing in Cardiology (CinC).

Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation

Sabine Van Huffel, Frederik Maes, Dirk Smeets, 2016, MCV/BAMBI@MICCAI.

Relationships between structured and constrained TLS, with applications to signal enhancement

Sabine Van Huffel, Bart De Moor, H Chen, 1994 .

10 The total least squares problem

Sabine Van Huffel, Hongyuan Zha, H. Zha, 1993, Computational Statistics.

Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices

Sabine Van Huffel, Haesun Park, 1994, Parallel Comput..

Frequency-selective techniques based on SVD, TLS and bandpass filtering

Sabine Van Huffel, Joos Vandewalle, H Chen, 1994 .

Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis

Sabine Van Huffel, Alexander Kukush, Ivan Markovsky, 2002, Comput. Stat. Data Anal..

Decoupling the influence of systemic variables in the peripheral and cerebral haemodynamics during ECMO procedure by means of oblique and orthogonal subspace projections

Sabine Van Huffel, Ilias Tachtsidis, Alexander Caicedo, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy

Patrick Dupont, Simon Tousseyn, Wim Van Paesschen, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Overview of total least-squares methods

Sabine Van Huffel, Ivan Markovsky, I. Markovsky, 2007, Signal Process..

Proceedings of bio-inspired systems and signal processing

Sabine Van Huffel, S. Huffel, 2012, BIOSTEC 2012.

Structural Health Monitoring of a helicopter tail boom using lamb waves - Advanced data analysis of results obtained with integrated optical fibre sensing technology

Sabine Van Huffel, Martine Wevers, Helge Pfeiffer, 2007 .

Temporal Beat-to-Beat Variability of Repolarization Changes Predict Non-Sustained Ventricular Tachycardia in Ischemic Heart Disease Patients

Sabine Van Huffel, Jonathan Moeyersons, Karin Sipido, 2018, 2018 Computing in Cardiology Conference (CinC).

Neonatal Seizure Detection Using Deep Convolutional Neural Networks

Sabine Van Huffel, Maarten De Vos, P. J. Cherian, 2019, Int. J. Neural Syst..

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.

Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data

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

Effect of the Heart Rate Variability Representations on the Quantification of the Cardiorespiratory Interactions During Autonomic Nervous System Blockade

Sabine Van Huffel, Raquel Bailón, Juan Bolea, 2019, 2019 Computing in Cardiology (CinC).

Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization

Sabine Van Huffel, Maarten De Vos, Yipeng Liu, 2015, IEEE Transactions on Biomedical Engineering.

PyECG: A software tool for the analysis of the QT interval in the electrocardiogram

Sabine Van Huffel, Alexander A. Suárez León, Carolina Varon, 2019 .

Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2016, IEEE Transactions on Biomedical Engineering.

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011, SIAM J. Matrix Anal. Appl..

Block-Toeplitz/Hankel Structured Total Least Squares

Sabine Van Huffel, Rik Pintelon, Ivan Markovsky, 2005, SIAM J. Matrix Anal. Appl..

Development of open-source interactive smart energy house for K12 engineering education on residential energy efficiency

Sabine Van Huffel, Georges Gielen, Borbála Hunyadi, 2013 .

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..

Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties pdf

Sabine Van Huffel, Yipeng Liu, Maarten De Vos, 2013, ArXiv.

R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks

Sabine Van Huffel, Jonathan Moeyersons, Carolina Varon, 2019, bioRxiv.

Van spectroscopisch signaal tot klinische diagnose

Sabine Van Huffel, Paul Van Hecke, Leentje Vanhamme, 2005 .

Preprocessing by means of subspace projections for continuous Cerebral Autoregulation assessment using NIRS

Sabine Van Huffel, Gunnar Naulaers, Alexander Caicedo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Formulation and solution of structured total least norm problems for parameter estimation

Sabine Van Huffel, J. Ben Rosen, Haesun Park, 1996, IEEE Trans. Signal Process..

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.

Data-Driven Clustering of P300 EEG Data Using Coupled Tensor Decompositions

Sabine Van Huffel, S. Huffel, 2017 .

Common pole estimation in multi-channel exponential data modeling

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2006, Signal Process..

Improved performance on high-dimensional survival data by application of Survival-SVM

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2011, Bioinform..

Multiway methods and their use in neuroscience

Sabine Van Huffel, Maarten De Vos, Katrien Vanderperren, 2007 .

A Combination of Parallel Factor and Independent Component Analysis

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2022 .

Support vector machines for survival analysis

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2007 .

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, Complex..

Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction

Sabine Van Huffel, Diana Maria Sima, Halandur Nagaraja Bharath, 2017, BrainLes@MICCAI.

Data-driven method for tracking early EEG maturation

Sabine Van Huffel, Maarten De Vos, Sampsa Vanhatalo, 2015 .

Pulse photoplethysmography derived respiration for obstructive sleep apnea detection

Sabine Van Huffel, Jesús Lázaro, Eduardo Gil, 2017, 2017 Computing in Cardiology (CinC).

Semi-supervised one-class transfer learning for heart rate based epileptic seizure detection

Sabine Van Huffel, Lieven Lagae, Berten Ceulemans, 2017, 2017 Computing in Cardiology (CinC).

On the use of a clinical kernel in survival analysis

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2010, ESANN.

T-wave end detection using neural networks and Support Vector Machines

Sabine Van Huffel, Carlos R. Vázquez-Seisdedos, Alexander A. Suárez León, 2018, Comput. Biol. Medicine.

Analysis of non-linear respiratory influences on sleep apnea classification

Sabine Van Huffel, Carolina Varon, Alexander Caicedo, 2014, Computing in Cardiology 2014.

Brain tumour classification using short echo time 1H MRS. Objective comparison of classification techniques (LDA, LS-SVM)

Sabine Van Huffel, Johan A. K. Suykens, Carles Arús, 2004 .

Time-Domain Methods for Quantifying MR Spectra

Sabine Van Huffel, Dirk van Ormondt, Diana M. Sima, 2015 .

Application of the structured total least norm technique in spectral estimation

Sabine Van Huffel, Dirk van Ormondt, Hua Chen, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

TLS applications in biomedical signal processing

Sabine Van Huffel, S. Huffel, 1997 .

Irregular heartbeat classification using Kronecker Product Equations

Nico Vervliet, Sabine Van Huffel, Lieven De Lathauwer, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Second order algorithm for imposing independence constraints to the CP model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2008, ISCAS 2008.

Fast algorithm for solving the Hankel/Toeplitz Structured Total Least Squares problem

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2004, Numerical Algorithms.

Tensor-based analysis of ECG changes prior to in-hospital cardiac arrest

Sabine Van Huffel, Xiao Hu, Griet Goovaerts, 2017, 2017 Computing in Cardiology (CinC).

Cardiopulmonary coupling in sleep apnea assessed by means of orthogonal subspace projection

Sabine Van Huffel, Carolina Varon, Alexander Caicedo Dorado, 2012 .

Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2010, NeuroImage.

Block term decomposition for modelling epileptic seizures

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2014, EURASIP J. Adv. Signal Process..

Evaluation of a Commercial Ballistocardiography Sensor for Sleep Apnea Screening and Sleep Monitoring

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2019, Sensors.

The dynamics of contour integration: A simultaneous EEG–fMRI study

Sabine Van Huffel, Johan Wagemans, Maarten De Vos, 2014, NeuroImage.

An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation

Sabine Van Huffel, Maarten De Vos, Kirubin Pillay, 2017, Int. J. Neural Syst..

Neural network approach for T-wave end detection: A comparison of architectures

Sabine Van Huffel, Carlos R. Vázquez-Seisdedos, Alexander A. Suárez León, 2015, 2015 Computing in Cardiology Conference (CinC).

ERP-driven analysis of simultaneously acquired fMRI data in a visual detection task

Sabine Van Huffel, Johan Wagemans, Katrien Vanderperren, 2009 .

MINLIP: Efficient Learning of Transformation Models

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2009, ICANN.

Enhancing the localizing value of ictal scalp EEG by applying the new BSS-CCA method to remove muscle artifacts

Wim Van Paesschen, Sabine Van Huffel, Anneleen Vergult, 2006 .

The use of total least squares data fitting in the shape-from-moments problem

Sabine Van Huffel, Lieven De Lathauwer, Philippe Lemmerling, 2006, Signal Process..

Online detection of auditory attention in a neurofeedback application

Sabine Van Huffel, Maarten De Vos, Alexander Bertrand, 2016 .

Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection

Wim Van Paesschen, Sabine Van Huffel, Carolina Varon, 2018, 2018 Computing in Cardiology Conference (CinC).

Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity

Simon Van Eyndhoven, Nico Vervliet, Sabine Van Huffel, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Fast algorithms for structured total least squares in speech compression

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2001 .

The Total Least Squares Problem in AX ≈ B: A New Classification with the Relationship to the Classical Works

Sabine Van Huffel, Zdenek Strakos, Diana Maria Sima, 2011, SIAM J. Matrix Anal. Appl..

Automatic selection of epileptic independent fMRI components

Patrick Dupont, Simon Tousseyn, Wim Van Paesschen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Decomposition methods in Neuroscience

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2010 .

Multi-class classification of ovarian tumors

Sabine Van Huffel, Dirk Timmerman, Ben Van Calster, 2008, ESANN.

Exploring the epileptic network with parallel ICA of interictal EEG-FMRI

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

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 .

The total least squares problem

Sabine Van Huffel, Hongyuan Zha, H. Zha, 1993 .

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

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

Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2014, IEEE Journal of Biomedical and Health Informatics.

Improved parallel algorithm for band matrix reconstruction

Sabine Van Huffel, Haesun Park, 1993 .

Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery

Sabine Van Huffel, Dirk Timmerman, Ian T. Nabney, 2008, Neural Computing and Applications.

Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

The Cardiorespiratory Graph in Sleep Apnea and Associated Comorbidities

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2018, 2018 Computing in Cardiology Conference (CinC).

Data-driven metric representing the maturation of preterm EEG

Sabine Van Huffel, Maarten De Vos, Okko Johannes Räsänen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SLICOT subspace identification toolbox

Sabine Van Huffel, Vasile Sima, S. Huffel, 2000 .

Detection of epileptic seizures by means of morphological changes in the ECG

Sabine Van Huffel, Lieven Lagae, Carolina Varon, 2013, Computing in Cardiology 2013.

Multiple sparse volumetric priors for distributed EEG source reconstruction

Sabine Van Huffel, Maarten De Vos, Hans Hallez, 2014, NeuroImage.

Fast regularized structured total least squares algorithm for solving the basic deconvolution problem

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2005, Numer. Linear Algebra Appl..

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation

Sabine Van Huffel, Chris Van Hoof, Willemijn Groenendaal, 2020, Sensors.

Independent component analysis of single trial evoked brain reponses : is it reliable ?

Wim Van Paesschen, Sabine Van Huffel, Karen O. Egiazarian, 2005 .

Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

On the Stability of the Generalized Schur Algorithm

Sabine Van Huffel, Paul Van Dooren, Nicola Mastronardi, 2000, NAA.

Interval coded scoring systems for survival analysis

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2012, ESANN.

Exploring CPD based unsupervised classification for auditory BCI with mobile EEG

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Unsupervised Artefact Detection and Screening Using Emfit Sensor in Patients With Sleep Apnea

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2018, 2018 Computing in Cardiology Conference (CinC).

ECG Artifact Removal from Surface EMG Signals by Combining Empirical Mode Decomposition and Independent Component Analysis

Sabine Van Huffel, Thierry Dutoit, Stéphanie Devuyst, 2011, BIOSIGNALS.

Departement Elektrotechniek ESAT-SISTA / TR 2004-51 Application of Structured Total Least Squares for System Identification and Model Reduction 1

Sabine Van Huffel, Bart De Moor, Rik Pintelon, 2007 .

Influence of volume conductor model errors on EEG dipole source localization in neonates

Sabine Van Huffel, Maarten De Vos, Ewout Vansteenkiste, 2012 .

Irregular heartbeats detection using tensors and Support Vector Machines

Sabine Van Huffel, Carlos R. Vázquez-Seisdedos, Alexander A. Suárez León, 2016, 2016 Computing in Cardiology Conference (CinC).

Heart Rate Variability Analysis of Children with Refractory Epilepsy before and after the Vagus Nerve Stimulation

Sabine Van Huffel, Lieven Lagae, Milica Milosevic, 2011, BIOSIGNALS.

9. Balanced Model Identification

Sabine Van Huffel, Bart De Moor, Jan C. Willems, 2006 .

Assessing cardiovascular comorbidities in sleep apnea patients using SpO2

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2017, 2017 Computing in Cardiology (CinC).

Different quantification algorithms may lead to different results : a comparison on 1H MRS lipid signals

Sabine Van Huffel, Pasquina Marzola, Diana Sima, 2011 .

Bayesian networks in ovarian cancer diagnosis: potentials and limitations

Sabine Van Huffel, Bart De Moor, Dirk Timmerman, 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.

Automatic seizure detection algorithm based on the human visual interpretation process of scalp EEG

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2010 .

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2003, Artif. Intell. Medicine.

On the accuracy of total least squares and least squares techniques in the presence of errors on all data

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1989, Autom..

ECG-derived respiration for ambulatory monitoring

Sabine Van Huffel, Carolina Varon, 2015, 2015 Computing in Cardiology Conference (CinC).

Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a 1H-MRS study

Sabine Van Huffel, Ronald R. Peeters, Dante Mantini, 2019, NeuroImage.

Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis

Sabine Van Huffel, Johan A. K. Suykens, Chuan Lu, 2007, IEEE Transactions on Information Technology in Biomedicine.

A novel approach to voluntary HD-sEMG decomposition

Sabine Van Huffel, Maarten De Vos, Ivan Gligorijevic, 2011 .

Sparse reconstruction of correlated multichannel activity

Sabine Van Huffel, Maarten De Vos, Annie A. M. Cuyt, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Power of Tensor-Based Approaches in Cardiac Applications

Sabine Van Huffel, Sibasankar Padhy, Lieven De Lathauwer, 2019, Series in BioEngineering.

Linear and Nonlinear Preoperative Classification of Ovarian Tumors

Sabine Van Huffel, Johan A. K. Suykens, Dirk Timmerman, 2004 .

Adaptive Alternating Minimization for Fitting Magnetic Resonance Spectroscopic Imaging Signals

Sabine Van Huffel, Anca Croitor Sava, Diana Sima, 2010 .

Evaluation of time- and frequency domain methods for the quantification of a multi-component line

Sabine Van Huffel, Paul Van Hecke, D. van Ormondt, 1994 .

Automatic Seizure Detection Incorporating Structural Information

Wim Van Paesschen, Sabine Van Huffel, Johan A. K. Suykens, 2011, ICANN.

Analysis of cardio-respiratory dynamics during mental stress using (partial) time-frequency spectra

Sabine Van Huffel, Michele Orini, Devy Widjaja, 2013, Computing in Cardiology 2013.

Enhanced resolution based on minimum variance estimation and exponential data modeling

Sabine Van Huffel, S. Huffel, 1993, Signal Process..

Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection

Sabine Van Huffel, Bart Vanrumste, Lieven Lagae, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SLICOT—A Subroutine Library in Systems and Control Theory

Sabine Van Huffel, Peter Benner, Andras Varga, 1999 .

Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG

Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi, 2017, Int. J. Neural Syst..

A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2007, IEEE Signal Processing Letters.

SINGLE-CHANNEL EEG CLASSIFICATION BY MULTI-CHANNEL TENSOR SUBSPACE LEARNING AND REGRESSION

Simon Van Eyndhoven, Sabine Van Huffel, Lieven De Lathauwer, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Phase-Rectified Signal Averaging to Evaluate ANS Development in Premature Infants

Sabine Van Huffel, Maristella Lucchini, Carolina Varon, 2013, BIOSIGNALS.

HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

Sabine Van Huffel, Theodoros N. Arvanitis, Paul H. Lewis, 2009, Applied Intelligence.

Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study

Sabine Van Huffel, Bart De Moor, Olivier Gevaert, 2009, Computational Intelligence and Bioengineering.

Information dynamics in cardiorespiratory analyses: Application to controlled breathing

Sabine Van Huffel, Luca Faes, Daniele Marinazzo, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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.

Transient behavior of cardiorespiratory interactions towards the onset of epileptic seizures

Sabine Van Huffel, Luca Faes, Lieven Lagae, 2014, Computing in Cardiology 2014.

Early soft and flexible fusion of EEG and fMRI via tensor decompositions pdf

Sabine Van Huffel, Lieven De Lathauwer, Sergios Theodoridis, 2020, ArXiv.

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.

Developing engineering-oriented educational workshops within a student branch

Sabine Van Huffel, Joos Vandewalle, Robert Puers, 2013, Eurocon 2013.

Artifact Detection of Wrist Photoplethysmograph Signals

Wim Van Paesschen, Sabine Van Huffel, Jesús Lázaro, 2018, BIOSIGNALS.

Total least squares problem - computational aspects and analysis

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1991, Frontiers in applied mathematics.

Using prior knowledge in SVD-based NMR spectroscopy - the ATP example

Sabine Van Huffel, Petre Stoica, Yngve Selén, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring

Sabine Van Huffel, Chris Van Hoof, Robert Puers, 2018, Sensors.

Improving the efficiency and accuracy of the MATLAB Control Toolbox using SLICOT-based gateways

Sabine Van Huffel, Peter Benner, Andras Varga, 1998 .

Improved Fitting Method for Parameter Estimation of MRS Signals with Prior Knowledge

Sabine Van Huffel, Leentje Vanhamme, A. van den Boogaart, 1997 .

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 .

The power of tensor decompositions in smart patient monitoring

Sabine Van Huffel, 2015 .

The structured total least-squares approach for non-linearly structured matrices

Sabine Van Huffel, Bart De Moor, Philippe Lemmerling, 2002, Numer. Linear Algebra Appl..

On Weighted Structured Total Least Squares

Sabine Van Huffel, Ivan Markovsky, 2005, LSSC.

2. Basic Principles of the Total Least Squares Problem

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1991 .

Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

Sabine Van Huffel, Maarten De Vos, Stéphanie Riès, 2010, Neuroinformatics.

The Progression of Heart Rate Variability Parameters Throughout Cardiac Rehabilitation

Sabine Van Huffel, Willemijn Groenendaal, Chris Van Hoof, 2019, 2019 Computing in Cardiology (CinC).

Comparison of imputation approaches in ovarian tumor diagnostic models based on LS-SVMs

Sabine Van Huffel, Michalis Zervakis, Dirk Timmerman, 2007 .

Analyzing multichannel scalp electroencephalograms of patients with epilepsy using exponential data modelling

Wim Van Paesschen, Sabine Van Huffel, Bart Vanrumste, 2004 .

Recent advances in total least squares techniques and errors-in-variables modeling

Sabine Van Huffel, Errors-in-Variables Modeling, S. Huffel, 1997 .

Improved spectral resolution of NMR data by minimum variance signal enhancement

Sabine Van Huffel, Paul Van Hecke, C Decanniere, 1992 .

Detection of irregular heartbeats using tensors

Sabine Van Huffel, Rik Willems, Griet Goovaerts, 2015, 2015 Computing in Cardiology Conference (CinC).

Fast and stable two-way algorithm for diagonal plus semi-separable systems of linear equations

Sabine Van Huffel, Shivkumar Chandrasekaran, Nicola Mastronardi, 2001, Numer. Linear Algebra Appl..

Comressed Sensing as a valuable tool for visualization of low SNR signal in 19F MRI

Sabine Van Huffel, Sayuan Liang, Uwe Himmelreich, 2015 .

Interval Coded Scoring: a toolbox for interpretable scoring systems

Sabine Van Huffel, Vanya Van Belle, Lieven Billiet, 2018, PeerJ Comput. Sci..

Improved quantification of MRSI data using spatial constraints

Sabine Van Huffel, Anca Croitor Sava, Diana Sima, 2009 .

Using spatio-temporal interest points (STIP) for myoclonic jerk detection in nocturnal video

Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multimodal Imaging of Human Brain Activity: Rational, Biophysical Aspects and Modes of Integration

Sabine Van Huffel, Katrien Vanderperren, Laura Astolfi, 2009, Comput. Intell. Neurosci..

Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings

Wim Van Paesschen, Sabine Van Huffel, Bart Vanrumste, 2005, IEEE Transactions on Biomedical Engineering.

The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals

Sabine Van Huffel, Johan A. K. Suykens, Carles Arús, 2002, The European Symposium on Artificial Neural Networks.

International conference on fractional signals and systems

Sabine Van Huffel, Gerd Vandersteen, Robain De Keyser, 2013 .

A New Method for Modeling Preoperative Diagnosis of Ovarian Tumors

Sabine Van Huffel, Dirk Timmerman, Emmanuel C. Ifeachor, 2007, IEEE Transactions on Biomedical Engineering.

Imposing Independence Constraints in the CP Model

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2007, ICA.

Comment on "Estimating the parameters of exponentially damped/undamped sinusoids in noise: A non-iterative approach, by Debasis Kundu and Amit Mitra"

Sabine Van Huffel, 1996, Signal Process..

Detection of epileptic seizures from single lead ECG by means of phase rectified signal averaging

Sabine Van Huffel, Lieven Lagae, Carolina Varon, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Survival SVM: a practical scalable algorithm

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2008, ESANN.

Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas

Sabine Van Huffel, Lieven De Lathauwer, Uwe Himmelreich, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Comparison of ICA algorithms for ECG artifact removal from EEG signals

Sabine Van Huffel, W. Deburchgraeve, Vladimir Matic, 2009 .

Single Trial Classification for Mobile BCI

Sabine Van Huffel, Michel Verleysen, Maarten De Vos, 2015, BIOSTEC 2015.

Learning Transformation Models for Failure Time Data

Sabine Van Huffel, Vanya Van Belle, Johan A. K. Suykens, 2008 .

Automated burst detection in the EEG of the preterm newborn

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2012 .

An application of methods for the probabilistic three-class classification of pregnancies of unknown location

Sabine Van Huffel, Dirk Timmerman, Ben Van Calster, 2009, Artif. Intell. Medicine.

Automated T Wave End Detection Methods - Comparison of Four Different Methods for T Wave End Detection

Sabine Van Huffel, Jonathan Moeyersons, Rik Willems, 2017, BIOSIGNALS.

Nonconvulsive epileptic seizures detection using multiway data analysis

Sabine Van Huffel, Borbála Hunyadi, Enrique Juan Marañón Reyes, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation

Sabine Van Huffel, Eric Achten, Frederik Maes, 2016, ESANN.

A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization

Sabine Van Huffel, Eric Achten, Frederik Maes, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Sleep apnea classification using least-squares support vector machines on single lead ECG

Sabine Van Huffel, Johan A. K. Suykens, Carolina Varon, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Towards automatic detection of myoclonic shocks in pediatric patients by means of video recording

Sabine Van Huffel, Bart Vanrumste, Liesbet Lagae, 2010, AmI 2010.

Block-row Hankel weighted low rank approximation

Sabine Van Huffel, Philippe Lemmerling, M. Schuermans, 2006, Numer. Linear Algebra Appl..

Mapping Approximation by the GMR Neural Network

Sabine Van Huffel, Maurizio Cirrincione, G. Cirrincione, 2000 .

The quest for single trial correlations in multimodal EEG-fMRI data

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Detecting rare events using extreme value statistics applied to epileptic convulsions in children

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2014, Artif. Intell. Medicine.

Automated Respiration Detection from Neonatal Video Data

Sabine Van Huffel, Maarten De Vos, Bart Vanrumste, 2015, ICPRAM.

Information transfer between respiration and heart rate during sleep apnea

Sabine Van Huffel, Luca Faes, Carolina Varon, 2016, 2016 Computing in Cardiology Conference (CinC).

Damage in CFRP composite materials monitored with intensity modulated fiber optic sensors

Sabine Van Huffel, Martine Wevers, Laurent Rippert, 2004 .

Data Quality Assessment of Capacitively-Coupled ECG Signals

Sabine Van Huffel, Robert Puers, Jonathan Moeyersons, 2019, 2019 Computing in Cardiology (CinC).

11. Approximate System Identification

Sabine Van Huffel, Bart De Moor, Jan C. Willems, 2006 .

Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2014, ICPRAM.

Exponential data fitting using multilinear algebra: the single‐channel and multi‐channel case

Sabine Van Huffel, Lieven De Lathauwer, Jean-Michel Papy, 2005, Numer. Linear Algebra Appl..

Spatially constrained ICA algorithm with an application in EEG processing

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2011, Signal Process..

The GeTLS EXIN neuron for linear regression

Sabine Van Huffel, Giansalvo Cirrincione, Maurizio Cirrincione, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Nonconvulsive epileptic seizure monitoring with incremental learning

Sabine Van Huffel, Borbála Hunyadi, Enrique Juan Marañón Reyes, 2019, Comput. Biol. Medicine.

Neural Geometry for Constrained Optimization

Sabine Van Huffel, Maurizio Cirrincione, G. Cirrincione, 1999 .

$H_2$-Optimal linear parametric design

Sabine Van Huffel, Bart De Moor, Ivan Markovsky, 2004 .

The total least squares technique: computation, properties and applications

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1989 .

Comparison of BEM and FDM head modeling in SPM for EEG source reconstruction based on free energy

Sabine Van Huffel, Maarten De Vos, Katrien Vanderperren, 2012 .

Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment

Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi, 2017, Sensors.

Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification

Sabine Van Huffel, Uwe Himmelreich, Diana Maria Sima, 2011, BIOSIGNALS.

Analysis of the Structured Total Least Squares Problem for Hankel/Toeplitz Matrices

Sabine Van Huffel, Philippe Lemmerling, S. Huffel, 2004, Numerical Algorithms.

Improved neonatal seizure detection using adaptive learning

Sabine Van Huffel, Maarten De Vos, P. J. Cherian, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Pulse Oximetry Markers for Cardiovascular Disease in Sleep Apnea

Sabine Van Huffel, Dries Testelmans, Bertien Buyse, 2019, 2019 Computing in Cardiology (CinC).

Phase-rectified Signal Averaging for the Quantification of the Influence of Prenatal Anxiety on Heart Rate Variability of Babies

Sabine Van Huffel, Katrien Vanderperren, Renée A. Otte, 2012, BIOSIGNALS.

Comparative study between three different subspace identification algorithms

Sabine Van Huffel, Bart De Moor, Michel Verhaegen, 1999 .

Unsupervised Nosologic Imaging for Glioma Diagnosis

Sabine Van Huffel, Yiming Pi, Yuqian Li, 2013, IEEE Transactions on Biomedical Engineering.

Multi-structural Signal Recovery for Biomedical Compressive Sensing

Sabine Van Huffel, Maarten De Vos, Yuqian Li, 2013, IEEE Transactions on Biomedical Engineering.

Results of quantitative EEG analysis are associated with autism spectrum disorder and development abnormalities in infants with tuberous sclerosis complex

Sabine Van Huffel, Pavel Krsek, Konrad Wojdan, 2021, Biomed. Signal Process. Control..

Utility metric for unsupervised feature selection

Sabine Van Huffel, Alexander Bertrand, Carolina Varon, 2021, PeerJ Comput. Sci..

Controlled Breathing Effect on Respiration Quality Assessment Using Machine Learning Approaches

Sabine Van Huffel, Chris Van Hoof, Jonathan Moeyersons, 2021, 2021 Computing in Cardiology (CinC).

Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach

Sabine Van Huffel, Chris Van Hoof, Jonathan Moeyersons, 2021, Sensors.

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2021, Sensors.

Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG

Sabine Van Huffel, Chris Van Hoof, Jonathan Moeyersons, 2021, Sensors.

Automatic Artifact Removal of Resting-State fMRI with Deep Neural Networks

Sabine Van Huffel, Christos Chatzichristos, Christos Theodoropoulos, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Automatic quality assessment of capacitively-coupled bioimpedance signals for respiratory activity monitoring

Sabine Van Huffel, Tom Torfs, Carolina Varon, 2021, Biomed. Signal Process. Control..

Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions

Sabine Van Huffel, Jonathan Moeyersons, Enrico G. Caiani, 2021, Entropy.

Sleep Diagnostics for Home Monitoring of Sleep Apnea Patients

Sabine Van Huffel, Carolina Varon, Dries Testelmans, 2021, Frontiers in Digital Health.

Extraction of direct respiratory influences form the tachogram using multiscale principal component analysis

Sabine Van Huffel, Devy Widjaja, S. Huffel, 2012 .

Cerebral Tissue Oxygenation and Regional Oxygen Saturation Can Be Used to Study Cerebral Autoregulation in Prematurely Born Infants

Sabine Van Huffel, Gunnar Naulaers, Alexander Caicedo, 2011, Pediatric Research.

Parameter Estimation with Prior Knowledge of Known Signal Poles for the Quantification of NMR Spectroscopy Data in the Time Domain

Sabine Van Huffel, Dirk van Ormondt, Ron de Beer, 1996 .

Tissue typing within glial tumours

Sabine Van Huffel, Anca Croitor Sava, Bernardo Celda, 2009 .

Oxygen Transport to Tissue XXXV

Sabine Van Huffel, Gunnar Naulaers, David K. Harrison, 2013, Advances in Experimental Medicine and Biology.

On the conic section fitting problem

Sabine Van Huffel, Alexander Kukush, Sergiy Shklyar, 2007 .

Exponential Data Fitting and Its Applications

Sabine Van Huffel, Kaustav Banerjee, Dianne P. O'Leary, 2018 .

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

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

FAST report: short-echo time MRS quantitation

Sabine Van Huffel, Diana Sima, Jean-Baptiste Poullet, 2008 .

8. Statistical Properties of the Total Least Squares Problem

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1991 .

Computational aspects of exponential data fitting in Magnetic Resonance Spectroscopy

Sabine Van Huffel, Diana Sima, Jean-Baptiste Poullet, 2010 .

Peri-ictal ECG changes in childhood epilepsy: Implications for detection systems

Sabine Van Huffel, Lieven Lagae, Carolina Varon, 2013, Epilepsy & Behavior.

Structured Total Least Squares

Sabine Van Huffel, Philippe Lemmerling, S. Huffel, 2002 .

Long-term home monitoring of hypermotor seizures by patient-worn accelerometers

Sabine Van Huffel, Bart Vanrumste, Bert Bonroy, 2013, Epilepsy & Behavior.

ResearchArticle Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Sabine Van Huffel, Maarten De Vos, Bart Vanrumste, 2007 .

Ictal and interictal respiratory changes in temporal lobe and absence epilepsy in childhood

Sabine Van Huffel, Lieven Lagae, Carolina Varon, 2013, Epilepsy Research.

Exploiting Spatial Information for Estimating Metabolite Concentration in MRSI

Sabine Van Huffel, Anca Croitor Sava, Diana Sima, 2009 .

An efficient and reliable algorithm for computing the singular subspace of a matrix, associated with its smallest singular values

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1987 .

Use Case II: Imaging Biomarkers and New Trends for Integrated Glioblastoma Management

Sabine Van Huffel, Juan Miguel García-Gómez, Elena De Angelis, 2017 .

Tucker compression and local optima

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2011 .

Structured total least squares problems: formulations, algorithms and applications

Sabine Van Huffel, Bart De Moor, Philippe Lemmerling, 1997 .

Patient-specific seizure detection with limited training period

Wim Van Paesschen, Sabine Van Huffel, Johan A. K. Suykens, 2011 .

Comparison of total least squares and instrumental variable methods for parameter estimation of transfer function models

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1989 .

Spectral subtraction method applied to damage detection in composite materials with embedded optical fibers

Sabine Van Huffel, Martine Wevers, Laurent Rippert, 2001 .

Fast structured total least squares algorithms via exploitation of the displacement structure

Sabine Van Huffel, Nicola Mastronardi, Philippe Lemmerling, 2002 .

Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase.

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2016, Journal of neural engineering.

An algorithm for approximate common divisor computation

Sabine Van Huffel, Ivan Markovsky, 2006 .

Integrated discrimination improvement and probability‐sensitive AUC variants

Sabine Van Huffel, Ben Van Calster, 2010 .

Efficient and reliable algorithms for condition estimation of Lyapunov and Riccati equations

Sabine Van Huffel, Vasile Sima, 2000 .

Appropriate cross-validation for regularized errors-in-variables linear models

Sabine Van Huffel, Diana M. Sima, 2004 .

Data Fusion of HR-MAS and in-vivo Information with Application in Brain Tumor Recognition

Sabine Van Huffel, Teresa Laudadio, Anca Croitor Sava, 2008 .

Correcting electrode displacement errors in motor unit tracking using high density surface electromyography (HDsEMG)

Sabine Van Huffel, Maarten De Vos, Marco Signoretto, 2012 .

Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG database

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2017, Clinical Neurophysiology.

Respiratory pattern in infants with West symdrome

Sabine Van Huffel, Carolina Varon, Katrien Jansen, 2012 .

Minor component analysis by incremental inverse iteration

Sabine Van Huffel, Diana M. Sima, S. Huffel, 2004 .

Linear and nonlinear functional connectivity methods to predict brain maturation in preterm babies

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2016 .

Accelerometers used for the detection of nocturnal frontal lobe seizures in pediatric patients

Sabine Van Huffel, Bart Vanrumste, Kris Cuppens, 2010 .

High-performance numerical algorithms and software for subspace-based linear multivariable system identification

Sabine Van Huffel, Vasile Sima, Diana M. Sima, 2004 .

Best multilinear rank approximation of tensors : a trust-region algorithm and local mimina (Best poster award)

Sabine Van Huffel, Lieven De Lathauwer, Pierre-Antoine Absil, 2009 .

Iterative algorithms for computing the singular subspace of a matrix associated with its smallest singular values

Sabine Van Huffel, 1991 .

Jacobi Iteration for Spatially Constrained Independent Component Analysis

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2006 .

Proof of concept : the novel instrumented Bath Ankylosing spondylitis functional index (iBASFI) shows promising reliability and validity in the assessment of activity limitations in axial spondyloarthritis

Sabine Van Huffel, Kurt de Vlam, Milica Milosevic, 2016 .

Formulation an Solution of Least Norm Problems for

Sabine Van Huffel, J. Ben Rosen, Haesun Park, 1996 .

Total least squares methods

Sabine Van Huffel, Ivan Markovsky, Diana Sima, 2010 .

Contactless emg sensors for continuous monitoring of muscle activity to prevent musculoskeletal disorders

Sabine Van Huffel, Arthur Spaepen, Joachim Taelman, 2006 .

Iterative methods for solving total least squares problems

Sabine Van Huffel, 1992 .

Total least squares algorithms based on rank-revealing complete orthogonal decompositions

Sabine Van Huffel, Leentje Vanhamme, S. Huffel, 1997 .

Introduction to Total Least Squares and Errors-In-Variables Modeling

Sabine Van Huffel, Philippe Lemmerling, S. Huffel, 2002 .

Algebraic connections between the least squares and total least squares problems

Sabine Van Huffel, Joos Vandewalle, J. Vandewalle, 1989 .

Cerebral Autoregulation Assessment in Premature Infants: Clinical Relevance

Sabine Van Huffel, Gunnar Naulaers, Lieveke Ameye, 2010 .

Heart Rate and Blood Pressure Variability under Moon, Mars and Zero Gravity Conditions During Parabolic Flights

Sabine Van Huffel, Carolina Varon, Devy Widjaja, 2013 .

Frequency-selective quantification of short-echo time Magnetic Resonance spectra

Sabine Van Huffel, Diana Maria Sima, Jean-Baptiste Poullet, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

A mimicking approach for human epileptic seizure detection

Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos, 2010 .

Total least norm problem formulation and solution of structured problems in parameter extraction

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

A combination of independent component and parallel factor analysis

Sabine Van Huffel, Maarten De Vos, Lieven De Lathauwer, 2010 .

Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks

Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, 2016, Journal of neural engineering.

Optical sensor for continuous damage monitoring in composite materials

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

Two-way bidiagonalization scheme for downdating the singular-value decomposition

Sabine Van Huffel, Haesun Park, 1995 .