S. Van Huffel

发表

Muscle and eye movement artifact removal prior to EEG source localization

R. Van de Walle, I. Lemahieu, H. Hallez, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Incorporating in vivo and ex vivo NMR sources of information for modeling robust brain tumor classifiers

S. Van Huffel, A. R. Croitor Sava, T. Laudadio, 2010, 2010 IEEE International Conference on Imaging Systems and Techniques.

Wavelet-Independent Component Analysis to remove Electrocardiography Contamination in surface Electromyography

S. Van Huffel, J. Taelman, A. Spaepen, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

High-performance numerical software for control

V. Sima, A. Varga, S. Hammarling, 2004, IEEE Control Systems.

Performance investigation of SLICOT system identification toolbox

V. Sima, S. Van Huffel, 2001, 2001 European Control Conference (ECC).

Using artificial neural networks to predict malignancy of ovarian tumors

D. Timmerman, S. Van Huffel, C. Lu, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Removing Artifacts and Background Activity in Multichannel Electroencephalograms by Enhancing Common Activity

A. Vergult, W. De Clercq, B. Vanrumste, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

SLICOT and control systems numerical software packages

S. Van Huffel, V. Sima, 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

Quantification and classification of high-resolution magic angle spinning data for brain tumor diagnosis

S. Van Huffel, J.-B. Poullet, M.C. Martinez-Bisbal, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic Removal of Ocular Artifacts in the EEG without an EOG Reference Channel

W. De Clercq, W. Van Paesschen, S. Van Huffel, 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.

Efficient numerical algorithms and software for subspace-based system identification

S. Van Huffel, V. Sima, 2000, CACSD. Conference Proceedings. IEEE International Symposium on Computer-Aided Control System Design (Cat. No.00TH8537).

Non-negative blind source separation techniques for tumor tissue typing using HR-MAS signals

S. Van Huffel, M. C. Martinez-Bisbal, B. Celda, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas

S. Van Huffel, D. M. Sima, H. N. Bharath, 2017, IEEE Journal of Biomedical and Health Informatics.

Preoperative prediction of malignancy of ovarian tumours using modified sequential non-uniform procedure

D. Timmerman, S. Van Huffel, V. Stalbovskaya, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

SLICOT system identification software and applications

S. Van Huffel, V. Sima, D.M. Simal, 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

F. Maes, S. Van Huffel, U. Himmelreich, 2016, NeuroImage: Clinical.

Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study

D. Timmerman, S. Van Huffel, L. Valentin, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

The Bayesian approach: a natural framework for statistical modeling

S. Van Huffel, D. Timmerman, B. Van Calster, 2007, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Software for Approximate Linear System Identification

B. De Moor, S. Van Huffel, I. Markovsky, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Ex vivo high resolution magic angle spinning metabolic profiles describe intratumoral histopathological tissue properties in adult human gliomas

S. Van Huffel, B. Celda, A. Croitor Sava, 2011, Magnetic resonance in medicine.

Viability of intrauterine pregnancy in women with pregnancy of unknown location: prediction using human chorionic gonadotropin ratio vs. progesterone

S. Van Huffel, D. Timmerman, B. Van Calster, 2010, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Nonlinear heart rate variability in a healthy population: Influence of age

B. Verheyden, S. Van Huffel, A.E. Aubert, 2008, 2008 Computers in Cardiology.

Clinical implications of intra‐ and interobserver reproducibility of transvaginal sonographic measurement of gestational sac and crown–rump length at 6–9 weeks' gestation

S. Van Huffel, D. Van Schoubroeck, D. Timmerman, 2011, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Cardiorespiratory analysis on children suffering from absence and complex partial seizures

S. Van Huffel, L. Lagae, S. Van Huffel, 2012, 2012 Computing in Cardiology.

Quantification of magnetic resonance spectroscopy signals with lineshape estimation

S. Van Huffel, U. Himmelreich, S. Huffel, 2011 .

Prospective Internal Validation of Mathematical Models to Predict Malignancy in Adnexal Masses: Results from the International Ovarian Tumor Analysis Study

S. Van Huffel, C. Van Holsbeke, L. Valentin, 2009, Clinical Cancer Research.

Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis

S. Cerutti, T. Penzel, S. Van Huffel, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?

L. Lukas, S. Van Huffel, A. Heerschap, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multiscale principal component analysis to separate respiratory influences from the tachogram: Application to stress monitoring

S. Van Huffel, S. Van Huffel, E. Vlemincx, 2012, 2012 Computing in Cardiology.

Instrumented BASFI (iBASFI) Shows Promising Reliability and Validity in the Assessment of Activity Limitations in Axial Spondyloarthritis

S. Van Huffel, S. Van Huffel, M. Milosevic, 2016, The Journal of Rheumatology.

Different quantification algorithms may lead to different results: a comparison using proton MRS lipid signals

S. Van Huffel, P. Marzola, E. Mosconi, 2014, NMR in biomedicine.

BOLD correlates of Alpha and Beta EEG-rhythm during a motor task

S. Cerutti, S. Van Huffel, F. Panzica, 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.

Calculation of the renal perfusion and glomerular filtration rate from the renal impulse response obtained with MRI

S. Van Huffel, F. Jamar, F. Peeters, 2004, Magnetic resonance in medicine.

Extended HTLS methods for parameter estimation of multiple data sets modeled as sums of exponentials

A. van den Boom, S. Van Huffel, Hua Chen, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

Early development of synchrony in cortical activations in the human

Marina De Vos, S. Van Huffel, A. Dereymaeker, 2016, Neuroscience.

Detection of autoregulation in the brain of premature infants using a novel subspace-based technique

S. Van Huffel, S. Van Huffel, P. Lemmerling, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Improvement of lineshape estimation for MRS signals

S. Van Huffel, D. van Ormondt, M.I. Osorio, 2008, 2008 IEEE International Workshop on Imaging Systems and Techniques.