S. Van Huffel

Details der Publikationsliste

Zeitraum

1997 - 2010

Anzahl

91

Co-Autoren

Total Least Squares Methods (2009)

Markovsky, I, Sima, D, Van Huffel, S

Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1. the use of weighted norms...

The optimal timing of an ultrasound scan to assess the location and viability of an early pregnancy (2009)

Bottomley, C., Van Belle, V., Mukri, F., Kirk, E., Van Huffel, S., Timmerman, D., ...

BACKGROUND The objective of this study was to determine the optimal gestational age at which to establish the location and viability of an early pregnancy using transvaginal ultrasonography (TVS). ...

A geometric Newton method for Oja's vector field (2008)

Absil, P. -A., Ishteva, M., De Lathauwer, L., Van Huffel, S.

Newton's method for solving the matrix equation $F(X)\equiv AX-XX^TAX=0$ runs up against the fact that its zeros are not isolated. This is due to a symmetry of $F$ by the action of the orthogonal...

Rationalizing the follow-up of pregnancies of unknown location (2007)

Kirk, E., Condous, G., Van Calster, B., Van Huffel, S., Timmerman, D., Bourne, T.

BACKGROUND To develop a strategy to rationalize the follow-up of pregnancies of unknown location (PULs) based on the predicted outcome using a mathematical model. METHODS Prospective interventional...

Prospective cross-validation of three methods of predicting failing pregnancies of unknown location (2007)

Condous, G., Van Calster, B., Kirk, E., Timmerman, D., Van Huffel, S., Bourne, T.

BACKGROUND We compared the performance of each of three tests for predicting pregnancy failure in the pregnancy of unknown (PUL) population. METHODS In a prospective observational study, we compared...

On the conic section fitting problem (2007)

Shklyar, S., Kukush, A., Markovsky, I., Van Huffel, S

Adjusted least squares (ALS) estimators for the conic section problem are considered. Consistency of the translation invariant version of ALS estimator is proved. The similarity invariance of the ALS...

On the conic section fitting problem (2007)

Shklyar, S., Kukush, A., Markovsky, I., Van Huffel, S

Adjusted least squares (ALS) estimators for the conic section problem are considered. Consistency of the translation invariant version of ALS estimator is proved. The similarity invariance of the ALS...

On the conic section fitting problem (2007)

Shklyar, S., Kukush, A., Markovsky, I., Van Huffel, S

Adjusted least squares (ALS) estimators for the conic section problem are considered. Consistency of the translation invariant version of ALS estimator is proved. The similarity invariance of the ALS...

A validation of the most commonly used protocol to predict the success of single-dose methotrexate in the treatment of ectopic pregnancy (2007)

Kirk, E., Condous, G., Van Calster, B., Haider, Z., Van Huffel, S., Timmerman, D., ...

BACKGROUND: Currently, the likely success of single-dose methotrexate (MTX) (50 mg/m2) for the treatment of ectopic pregnancy is indicated by a >15% decrease in hCG from days 4–7 after...

On the Design of a Web-Based decision Support System for Brain Tumour Diagnosis using Distributed Agents (2006)

Arus, C, Celda, B, Dasmahapatra, Srinandan, Dupplaw, David, Gonzalez-Velez, H, Van Huffel, S, ...

This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network of local databases or...

Agent-Based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis (2006)

Gonzalez-Velz, H, Mier, M, Arus, C, Celda, B, Van Huffel, S, Lewis, Paul, ...

Brain tumours remain an important cause of morbidity and mortality in Europe. Diagnosis using Magnetic Resonance Imaging (MRI) is non-invasive, but only achieves 60-90% accuracy depending on the...

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (2006)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B.

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the behavioral approach to mathematical modeling, an approach that requires models to be viewed as sets of...

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (2006)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B.

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the behavioral approach to mathematical modeling, an approach that requires models to be viewed as sets of...

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (2006)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B.

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the behavioral approach to mathematical modeling, an approach that requires models to be viewed as sets of...

The element-wise weighted total least squares problem (2006)

Markovsky, I., Rastello, M., Premoli, P., Van Huffel, S.

A new technique for parameter estimation is considered in a linear measurement error model AX approx B, A = A0 + tilde A, B = B0 + tilde B, with row-wise independent and non-identically distributed...

The element-wise weighted total least squares problem (2006)

Markovsky, I., Rastello, M., Premoli, P., Van Huffel, S.

A new technique for parameter estimation is considered in a linear measurement error model AX approx B, A = A0 + tilde A, B = B0 + tilde B, with row-wise independent and non-identically distributed...

The element-wise weighted total least squares problem (2006)

Markovsky, I., Rastello, M., Premoli, P., Van Huffel, S.

A new technique for parameter estimation is considered in a linear measurement error model AX approx B, A = A0 + tilde A, B = B0 + tilde B, with row-wise independent and non-identically distributed...

Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression (2006)

Gevaert, O., De Smet, F., Kirk, E., Van Calster, B., Bourne, T., Van Huffel, S., ...

BACKGROUND: As women present at earlier gestations to early pregnancy units (EPUs), the number of women diagnosed with a pregnancy of unknown location (PUL) increases. Some of these women will have...

There is no role for uterine curettage in the contemporary diagnostic workup of women with a pregnancy of unknown location (2006)

Condous, G., Kirk, E., Lu, C., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to generate and evaluate a new protocol that defined non-viability in the pregnancy of unknown location (PUL) population and therefore ensured no viable...

A validation of the most commonly used protocol to predict the success of single-dose methotrexate in the treatment of ectopic pregnancy (2006)

Kirk, E., Condous, G., Van Calster, B., Haider, Z., Van Huffel, S., Timmerman, D., ...

BACKGROUND: Currently, the likely success of single-dose methotrexate (MTX) (50 mg/m2) for the treatment of ectopic pregnancy is indicated by a >15% decrease in hCG from days 4-7 after...

Prospective cross-validation of three methods of predicting failing pregnancies of unknown location (2006)

Condous, G., Van Calster, B., Kirk, E., Timmerman, D., Van Huffel, S., Bourne, T.

BACKGROUND We compared the performance of each of three tests for predicting pregnancy failure in the pregnancy of unknown (PUL) population. METHODS In a prospective observational study, we compared...

Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression (2006)

Gevaert, O., De Smet, F., Kirk, E., Van Calster, B., Bourne, T., Van Huffel, S., ...

BACKGROUND: As women present at earlier gestations to early pregnancy units (EPUs), the number of women diagnosed with a pregnancy of unknown location (PUL) increases. Some of these women will have...

There is no role for uterine curettage in the contemporary diagnostic workup of women with a pregnancy of unknown location (2006)

Condous, G., Kirk, E., Lu, C., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to generate and evaluate a new protocol that defined non-viability in the pregnancy of unknown location (PUL) population and therefore ensured no viable...

Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression (2006)

Gevaert, O., De Smet, F., Kirk, E., Van Calster, B., Bourne, T., Van Huffel, S., ...

BACKGROUND: As women present at earlier gestations to early pregnancy units (EPUs), the number of women diagnosed with a pregnancy of unknown location (PUL) increases. Some of these women will have...

There is no role for uterine curettage in the contemporary diagnostic workup of women with a pregnancy of unknown location (2006)

Condous, G., Kirk, E., Lu, C., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to generate and evaluate a new protocol that defined non-viability in the pregnancy of unknown location (PUL) population and therefore ensured no viable...

A validation of the most commonly used protocol to predict the success of single-dose methotrexate in the treatment of ectopic pregnancy (2006)

Kirk, E., Condous, G., Van Calster, B., Haider, Z., Van Huffel, S., Timmerman, D., ...

BACKGROUND: Currently, the likely success of single-dose methotrexate (MTX) (50 mg/m2) for the treatment of ectopic pregnancy is indicated by a >15% decrease in hCG from days 4-7 after...

Prospective cross-validation of three methods of predicting failing pregnancies of unknown location (2006)

Condous, G., Van Calster, B., Kirk, E., Timmerman, D., Van Huffel, S., Bourne, T.

BACKGROUND We compared the performance of each of three tests for predicting pregnancy failure in the pregnancy of unknown (PUL) population. METHODS In a prospective observational study, we compared...

On errors-in-variables estimation with unknown noise variance ratio (2006)

Markovsky, Ivan, Kukush, A., Van Huffel, S.

We propose an estimation method for an errors-in-variables model with unknown input and output noise variances. The main assumption that allows identifiability of the model is clustering of the data...

Biopattern and Bioprofile Analysis in Support of E-Healthcare UK (2005)

Ifeachor, E.C., Zervakis, M., Lowe, D., Biganzoli, E., Fonseca, J.M., Van Huffel, S.

This presentation was given at the Med-e-tel 2005 Conference in Luxembourg on April 6th, 2005.

Biopattern and Bioprofile Analysis in Support of E-Healthcare UK (2005)

Ifeachor, E.C., Zervakis, M., Lowe, D., Biganzoli, E., Fonseca, J.M., Van Huffel, S.

This presentation was given at the Med-e-tel 2005 Conference in Luxembourg on April 6th, 2005.

Consistency of the structured total least squares estimator in a multivariate errors-in-variables model (2005)

Kukush, A., Markovsky, I., Van Huffel, S.

The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction...

Block-Toeplitz/Hankel structured total least squares (2005)

Markovsky, I., Van Huffel, S., Pintelon, R.

A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...

Application of structured total least squares for system identification and model reduction (2005)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.

The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...

High-performance numerical algorithms and software for structured total least squares (2005)

Markovsky, I., Van Huffel, S.

We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact....

On the equivalence between Total Least Squares and Maximum Likelihood PCA (2005)

Schuermans, M., Markovsky, I., Wentzell, P., Van Huffel, S.

The maximum likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with...

Consistency of the structured total least squares estimator in a multivariate errors-in-variables model (2005)

Kukush, A., Markovsky, I., Van Huffel, S.

The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction...

Block-Toeplitz/Hankel structured total least squares (2005)

Markovsky, I., Van Huffel, S., Pintelon, R.

A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...

Application of structured total least squares for system identification and model reduction (2005)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.

The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...

High-performance numerical algorithms and software for structured total least squares (2005)

Markovsky, I., Van Huffel, S.

We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact....

On the equivalence between Total Least Squares and Maximum Likelihood PCA (2005)

Schuermans, M., Markovsky, I., Wentzell, P., Van Huffel, S.

The maximum likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with...

Consistency of the structured total least squares estimator in a multivariate errors-in-variables model (2005)

Kukush, A., Markovsky, I., Van Huffel, S.

The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction...

Block-Toeplitz/Hankel structured total least squares (2005)

Markovsky, I., Van Huffel, S., Pintelon, R.

A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...

Application of structured total least squares for system identification and model reduction (2005)

Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.

The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...

High-performance numerical algorithms and software for structured total least squares (2005)

Markovsky, I., Van Huffel, S.

We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact....

On the equivalence between Total Least Squares and Maximum Likelihood PCA (2005)

Schuermans, M., Markovsky, I., Wentzell, P., Van Huffel, S.

The maximum likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with...

A prospective evaluation of a single-visit strategy to manage pregnancies of unknown location (2005)

Condous, G., Okaro, E., Khalid, A., Lu, C., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim was to assess whether women with a pregnancy of unknown location (PUL) can be safely excluded from potentially unnecessary multiple clinic visits. METHODS: A single-visit protocol...

Do levels of serum cancer antigen 125 and creatine kinase predict the outcome in pregnancies of unknown location? (2005)

Condous, G., Kirk, E., Syed, A., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to evaluate the role of maternal serum cancer antigen 125 (CA 125) and creatine kinase (CK) levels in predicting the outcome of pregnancies of unknown location...

Third generation aromatase inhibitors may prevent endometrial growth and reverse tamoxifen-induced uterine changes in postmenopausal breast cancer patients (2005)

Morales, L., Timmerman, D., Neven, P., Konstantinovic, M. L., Carbonez, A., Van Huffel, S., ...

Background: Tamoxifen may induce uterine abnormalities of clinical concern. Our aim was to compare early uterine changes occurring in postmenopausal breast cancer patients treated in first-line with...

A prospective evaluation of a single-visit strategy to manage pregnancies of unknown location (2005)

Condous, G., Okaro, E., Khalid, A., Lu, C., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim was to assess whether women with a pregnancy of unknown location (PUL) can be safely excluded from potentially unnecessary multiple clinic visits. METHODS: A single-visit protocol...

Do levels of serum cancer antigen 125 and creatine kinase predict the outcome in pregnancies of unknown location? (2005)

Condous, G., Kirk, E., Syed, A., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to evaluate the role of maternal serum cancer antigen 125 (CA 125) and creatine kinase (CK) levels in predicting the outcome of pregnancies of unknown location...

Do levels of serum cancer antigen 125 and creatine kinase predict the outcome in pregnancies of unknown location? (2005)

Condous, G., Kirk, E., Syed, A., Van Calster, B., Van Huffel, S., Timmerman, D., ...

BACKGROUND: The aim of this study was to evaluate the role of maternal serum cancer antigen 125 (CA 125) and creatine kinase (CK) levels in predicting the outcome of pregnancies of unknown location...

Consistent estimation in an implicit quadratic measurement error model (2004)

Kukush, A., Markovsky, I., Van Huffel, S.

An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent estimator for the...

Consistent estimation in an implicit quadratic measurement error model (2004)

Kukush, A., Markovsky, I., Van Huffel, S.

An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent estimator for the...

Consistent estimation in an implicit quadratic measurement error model (2004)

Kukush, A., Markovsky, I., Van Huffel, S.

An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent estimator for the...

Consistent least squares fitting of ellipsoids (2004)

Markovsky, I., Kukush, A., Van Huffel, S.

A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the...

On the computation of the structured total least squares estimator (2004)

Markovsky, I., Van Huffel, S., Kukush, A.

A class of structured total least squares problems is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is (block) Toeplitz/Hankel structured,...

Consistent least squares fitting of ellipsoids (2004)

Markovsky, I., Kukush, A., Van Huffel, S.

A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the...

On the computation of the structured total least squares estimator (2004)

Markovsky, I., Van Huffel, S., Kukush, A.

A class of structured total least squares problems is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is (block) Toeplitz/Hankel structured,...

Consistent least squares fitting of ellipsoids (2004)

Markovsky, I., Kukush, A., Van Huffel, S.

A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the...

On the computation of the structured total least squares estimator (2004)

Markovsky, I., Van Huffel, S., Kukush, A.

A class of structured total least squares problems is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is (block) Toeplitz/Hankel structured,...

The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location (2004)

Condous, G., Okaro, E., Khalid, A., Timmerman, D., Lu, C., Zhou, Y., ...

BACKGROUND: The aim of this study was to generate and evaluate new logistic regression models from simple demographic and hormonal data to predict the outcome of pregnancies of unknown location...

The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location (2004)

Condous, G., Okaro, E., Khalid, A., Timmerman, D., Lu, C., Zhou, Y., ...

BACKGROUND: The aim of this study was to generate and evaluate new logistic regression models from simple demographic and hormonal data to predict the outcome of pregnancies of unknown location...

The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location (2004)

Condous, G., Okaro, E., Khalid, A., Timmerman, D., Lu, C., Zhou, Y., ...

BACKGROUND: The aim of this study was to generate and evaluate new logistic regression models from simple demographic and hormonal data to predict the outcome of pregnancies of unknown location...

Consistent estimation in the bilinear multivariate errors-in-variables model (2003)

Kukush, A., Markovsky, I., Van Huffel, S.

A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A∈Rm×n, B∈Rp×q, in which the data A, B, C are perturbed by...

Using Artificial Neural Networks to Predict Malignancy of Ovarian Tumors (2003)

Lu, C., De Brabanter, J., Van Huffel, S., Vergote, I., Timmerman, D.

This paper discusses the application of artificial neural networks (ANNs) to preoperative discrimination between benign and malignant ovarian tumors. With the input variables selected by logistic...

Consistent estimation in the bilinear multivariate errors-in-variables model (2003)

Kukush, A., Markovsky, I., Van Huffel, S.

A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A∈Rm×n, B∈Rp×q, in which the data A, B, C are perturbed by...

Consistent estimation in the bilinear multivariate errors-in-variables model (2003)

Kukush, A., Markovsky, I., Van Huffel, S.

A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A∈Rm×n, B∈Rp×q, in which the data A, B, C are perturbed by...

Consistent Fundamental Matrix Estimation in a Quadratic Measurement Error Model Arising in Motion Analysis (2002)

Kukush, A., Markovsky, I., Van Huffel, S.

Consistent estimators of the rank-deficient fundamental matrix yielding information on the relative orientation of two images in two-view motion analysis are derived. The estimators are derived by...

Consistent Fundamental Matrix Estimation in a Quadratic Measurement Error Model Arising in Motion Analysis (2002)

Kukush, A., Markovsky, I., Van Huffel, S.

Consistent estimators of the rank-deficient fundamental matrix yielding information on the relative orientation of two images in two-view motion analysis are derived. The estimators are derived by...

Consistent Fundamental Matrix Estimation in a Quadratic Measurement Error Model Arising in Motion Analysis (2002)

Kukush, A., Markovsky, I., Van Huffel, S.

Consistent estimators of the rank-deficient fundamental matrix yielding information on the relative orientation of two images in two-view motion analysis are derived. The estimators are derived by...

Identification of a novel A20-binding inhibitor of nuclear factor-kappa B activation termed ABIN-2 (2001)

Van Huffel, S, Delaei, F, Heyninck, K, De Valck, Dirk; U0012541, Beyaert, R

The nuclear factor kappaB (NF-kappaB) plays a central role in the regulation of genes implicated immune responses, inflammatory processes, and apoptotic cell death. The zinc finger protein A20 is a...

Cerebral tissue oxygenation index in very premature infants

Naulaers, G, Morren, G, Van Huffel, S, Casaer, P, Devlieger, H

Aim: To describe normal values of the cerebral tissue oxygenation index (TOI) in premature infants.

Clinical study investigating the role of lymphadenectomy, surgical castration and adjuvant hormonal treatment in endometrial stromal sarcoma

Amant, F, De Knijf, A, Van Calster, B, Leunen, K, Neven, P, Berteloot, P, ...

The objective of this study is to assess the therapeutic importance of surgical castration, adjuvant hormonal treatment and lymphadenectomy in endometrial stromal sarcoma (ESS). A retrospective and...