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ORCIDSabine Van Huffel
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- affiliation: Catholic University of Leuven, Belgium
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2020 – today
- 2024
[i11]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran
, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024)- [i10]Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel:
Quantization-free Lossy Image Compression Using Integer Matrix Factorization. CoRR abs/2408.12691 (2024) - 2023
- [j155]Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. 84: 102706 (2023) - 2022
- [j154]Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers Robotics AI 9 (2022) - [j153]Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel:
Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. Frontiers Robotics AI 9: 840282 (2022) - [j152]Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel:
Corrigendum: Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. Frontiers Robotics AI 9: 899349 (2022) - [j151]Hong-Bo Xie, Kerrie L. Mengersen, Changan Di, Yongjian Zhang, Justin Lipman, Sabine Van Huffel:
A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control. IEEE Trans. Hum. Mach. Syst. 52(6): 1258-1270 (2022) - [j150]Amir Hossein Ansari, Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos:
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels. IEEE J. Biomed. Health Informatics 26(3): 1023-1033 (2022) - [c175]Berardino Barile, Pooya Ashtari, Françoise Durand-Dubief, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel:
A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. ESANN 2022 - [i9]Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR abs/2202.12295 (2022) - [i8]Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar:
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR abs/2205.05389 (2022) - 2021
- [j149]Mario Lavanga, Jessie De Ridder, Katarzyna Kotulska, Romina Moavero, Paolo Curatolo, Bernhard Weschke, Kate Riney, Martha Feucht, Pavel Krsek, Rima Nabbout, Anna C. Jansen, Konrad Wojdan, Dorota Domanska-Pakiela, Magdalena Kaczorowska-Frontczak, Christoph Hertzberg, Cyrille H. Ferrier, Sharon Samueli, Alena Jahodova, Eleonora Aronica, David J. Kwiatkowski, Floor E. Jansen, Sergiusz Jozwiak, Lieven Lagae, Sabine Van Huffel, Alexander Caicedo:
Results of quantitative EEG analysis are associated with autism spectrum disorder and development abnormalities in infants with tuberous sclerosis complex. Biomed. Signal Process. Control. 68: 102658 (2021) - [j148]Adnan Albaba, Ivan D. Castro, Pascal Borzée, Bertien Buyse, Dries Testelmans, Carolina Varon, Sabine Van Huffel, Tom Torfs:
Automatic quality assessment of capacitively-coupled bioimpedance signals for respiratory activity monitoring. Biomed. Signal Process. Control. 68: 102775 (2021) - [j147]Andrea Rozo, John F. Morales, Jonathan Moeyersons, Rohan Joshi, Enrico G. Caiani, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions. Entropy 23(8): 939 (2021) - [j146]Dorien Huysmans, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Sleep Diagnostics for Home Monitoring of Sleep Apnea Patients. Frontiers Digit. Health 3: 685766 (2021) - [j145]Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. NeuroImage 228: 117652 (2021) - [j144]Amalia Villa, Abhijith Mundanad Narayanan, Sabine Van Huffel, Alexander Bertrand, Carolina Varon:
Utility metric for unsupervised feature selection. PeerJ Comput. Sci. 7: e477 (2021) - [j143]Jonathan Moeyersons, John F. Morales, Amalia Villa Gómez, Ivan D. Castro, Dries Testelmans, Bertien Buyse, Chris Van Hoof, Rik Willems, Sabine Van Huffel, Carolina Varon:
Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG. Sensors 21(2): 662 (2021) - [j142]Thijs Becker, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk Valkenborg, Sabine Van Huffel, Maarten De Vos:
Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Sensors 21(4): 1046 (2021) - [j141]Jonathan Moeyersons, John F. Morales, Nick Seeuws, Chris Van Hoof, Evelien Hermeling, Willemijn Groenendaal, Rik Willems, Sabine Van Huffel, Carolina Varon:
Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach. Sensors 21(8): 2613 (2021) - [j140]Dorien Huysmans, Ivan D. Castro, Pascal Borzée, Aakash Patel, Tom Torfs, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Capacitively-Coupled ECG and Respiration for Sleep-Wake Prediction and Risk Detection in Sleep Apnea Patients. Sensors 21(19): 6409 (2021) - [j139]John F. Morales, Jonathan Moeyersons, Pablo Armañac, Michele Orini, Luca Faes, Sebastiaan Overeem, Merel van Gilst, Hans van Dijk, Sabine Van Huffel, Raquel Bailón, Carolina Varon:
Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation. IEEE Trans. Biomed. Eng. 68(6): 1882-1893 (2021) - [j138]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen:
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 391-404 (2021) - [c174]Dorien Huysmans, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Cardiovascular Risk Detection in Sleep Apnea Patients from Pulse Photoplethysmography Waveform. CinC 2021: 1-4 - [c173]Andrea Rozo, Jeroen Buil, Jonathan Moeyersons, John F. Morales, Roberto Garcia van der Westen, Lien Lijnen, Christophe Smeets, Sjors Jantzen, Valerie Monpellier, David Ruttens, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Carolina Varon:
Controlled Breathing Effect on Respiration Quality Assessment Using Machine Learning Approaches. CinC 2021: 1-4 - [c172]Christos Theodoropoulos, Christos Chatzichristos, Sabine Van Huffel:
Automatic Artifact Removal of Resting-State fMRI with Deep Neural Networks. EUSIPCO 2021: 1236-1240 - 2020
- [j137]Hélène De Cannière, Federico Corradi, Christophe Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter M. Vandervoort:
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors 20(12): 3601 (2020) - [j136]Margot Deviaene, Pascal Borzée, Merel van Gilst, Johannes P. van Dijk, Sebastiaan Overeem, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Multilevel Interval Coded Scoring to Assess the Cardiovascular Status of Sleep Apnea Patients Using Oxygen Saturation Markers. IEEE Trans. Biomed. Eng. 67(10): 2839-2848 (2020) - [j135]Claudio Stamile, François Cotton, Dominique Sappey-Marinier, Sabine Van Huffel:
Constrained Tensor Decomposition for Longitudinal Analysis of Diffusion Imaging Data. IEEE J. Biomed. Health Informatics 24(4): 1137-1148 (2020) - [j134]Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel:
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68: 3860-3870 (2020) - [c171]Pooya Ashtari, Frederik Maes, Sabine Van Huffel:
Low-Rank Convolutional Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 470-480 - [c170]Ivan D. Castro, Aakash Patel, Margot Deviaene, Dorien Huysmans, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon, Tom Torfs:
Unobtrusive, Through-Clothing ECG and Bioimpedance Monitoring in Sleep Apnea Patients. CinC 2020: 1-4 - [c169]Dorien Huysmans, Eva Heffinck, Ivan D. Castro, Margot Deviaene, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Sleep-Wake Classification for Home Monitoring of Sleep Apnea Patients. CinC 2020: 1-4 - [c168]Ben Jacobs, Amalia Villa Gómez, Jonathan Moeyersons, Sabine Van Huffel, Rik Willems, Carolina Varon:
Can Laplacian Eigenmaps Be Used for Differentiation Between Healthy Subjects and Patients With Corrected Tetralogy of Fallot? CinC 2020: 1-4 - [c167]Jonathan Moeyersons, Ruben De Bosscher, Christophe Dausin, Guido Claessen, André La Gerche, Jan Bogaert, Rik Willems, Sabine Van Huffel, Carolina Varon:
Predicting Left Ventricular Mass Using ECG, Demographic and DXA Features. CinC 2020: 1-4 - [c166]John F. Morales, Pascal Borzée, Dries Testelmans, Bertien Buyse, Sabine Van Huffel, Raquel Bailón, Carolina Varon:
A Robust Estimation of the Cardiorespiratory Coupling in the Presence of Abnormal Beats. CinC 2020: 1-4 - [c165]Amalia Villa, Sebastian Ingelaere, Sabine Van Huffel, Rik Willems, Carolina Varon:
Fragmented QRS Dynamics Towards Electrical Storm in ICD Patients. CinC 2020: 1-4 - [i7]Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. CoRR abs/2004.14185 (2020) - [i6]Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel:
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR abs/2005.07134 (2020)
2010 – 2019
- 2019
- [j133]Yissel Rodriguez Aldana, Enrique Juan Marañón Reyes, Frank Sanabria-Macias, Valia Rodriguez Rodriguez, Lilia Morales Chacón, Sabine Van Huffel, Borbála Hunyadi:
Nonconvulsive epileptic seizure monitoring with incremental learning. Comput. Biol. Medicine 114 (2019) - [j132]Jonathan Moeyersons, Elena Smets, John F. Morales, Amalia Villa Gómez, Walter De Raedt, Dries Testelmans, Bertien Buyse, Chris Van Hoof, Rik Willems, Sabine Van Huffel, Carolina Varon:
Artefact detection and quality assessment of ambulatory ECG signals. Comput. Methods Programs Biomed. 182 (2019) - [j131]Ofelie De Wel, Mario Lavanga, Alexander Caicedo, Katrien Jansen, Gunnar Naulaers, Sabine Van Huffel:
Decomposition of a Multiscale Entropy Tensor for Sleep Stage Identification in Preterm Infants. Entropy 21(10): 936 (2019) - [j130]Amir Hossein Ansari, Perumpillichira J. Cherian, Alexander Caicedo, Gunnar Naulaers, Maarten De Vos, Sabine Van Huffel:
Neonatal Seizure Detection Using Deep Convolutional Neural Networks. Int. J. Neural Syst. 29(4): 1850011:1-1850011:20 (2019) - [j129]Oron Levin, Akila Weerasekera, Bradley R. King, Kirstin-Friederike Heise, Diana Maria Sima, Sima Chalavi, Celine Maes, Ronald R. Peeters, Stefan Sunaert, Koen Cuypers, Sabine Van Huffel, Dante Mantini, Uwe Himmelreich, Stephan P. Swinnen:
Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a 1H-MRS study. NeuroImage 202 (2019) - [j128]Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel, Rik Willems, Carolina Varon:
R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks. PeerJ Comput. Sci. 5: e226 (2019) - [j127]Dorien Huysmans, Pascal Borzée, Dries Testelmans, Bertien Buyse, Tim Willemen, Sabine Van Huffel, Carolina Varon:
Evaluation of a Commercial Ballistocardiography Sensor for Sleep Apnea Screening and Sleep Monitoring. Sensors 19(9): 2133 (2019) - [j126]Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. 66(2): 584-594 (2019) - [j125]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen:
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28(10): 4899-4911 (2019) - [j124]Margot Deviaene, Dries Testelmans, Bertien Buyse, Pascal Borzée, Sabine Van Huffel, Carolina Varon:
Automatic Screening of Sleep Apnea Patients Based on the SpO2 Signal. IEEE J. Biomed. Health Informatics 23(2): 607-617 (2019) - [j123]Yissel Rodriguez Aldana, Borbála Hunyadi, Enrique Juan Marañón Reyes, Valia Rodriguez Rodriguez, Sabine Van Huffel:
Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis. IEEE J. Biomed. Health Informatics 23(2): 660-671 (2019) - [j122]Griet Goovaerts, Sibasankar Padhy, Bert Vandenberk, Carolina Varon, Rik Willems, Sabine Van Huffel:
A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation. IEEE J. Biomed. Health Informatics 23(5): 1980-1989 (2019) - [j121]Carolina Varon, Jesús Lázaro, Juan Bolea, Alberto Hernando, Jordi Aguiló, Eduardo Gil, Sabine Van Huffel, Raquel Bailón:
Unconstrained Estimation of HRV Indices After Removing Respiratory Influences From Heart Rate. IEEE J. Biomed. Health Informatics 23(6): 2386-2397 (2019) - [c164]Nick Seeuws, Amir Hossein Ansari, Sabine Van Huffel, Gunnar Naulaers:
Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification. BNAIC/BENELEARN 2019 - [c163]Hélène De Cannière, John F. Morales, Carolina Varon, Christophe Smeets, Melanie Schoutteten, Chris Van Hoof, Willemijn Groenendaal, Sabine Van Huffel, Pieter M. Vandervoort:
The Progression of Heart Rate Variability Parameters Throughout Cardiac Rehabilitation. CinC 2019: 1-4 - [c162]Ivan D. Castro, Carolina Varon, Jonathan Moeyersons, Amalia Villa Gómez, John F. Morales, Margot Deviaene, Tom Torfs, Sabine Van Huffel, Robert Puers, Chris Van Hoof:
Data Quality Assessment of Capacitively-Coupled ECG Signals. CinC 2019: 1-4 - [c161]Margot Deviaene, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Pulse Oximetry Markers for Cardiovascular Disease in Sleep Apnea. CinC 2019: 1-4 - [c160]John F. Morales, Juan Bolea, Sabine Van Huffel, Raquel Bailón, Carolina Varon:
Effect of the Heart Rate Variability Representations on the Quantification of the Cardiorespiratory Interactions During Autonomic Nervous System Blockade. CinC 2019: 1-4 - [c159]Alexander Caicedo, Ofelie De Wel, Michiel Vandecappelle, Liesbeth Thewissen, Anne Smits, Karel Allegaert, Lieven De Lathauwer, Gunnar Naulaers, Sabine Van Huffel:
Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions. EMBC 2019: 660-663 - [c158]John F. Morales, Margot Deviaene, Javier Milagro, Dries Testelmans, Bertien Buyse, Rik Willems, Michele Orini, Sabine Van Huffel, Raquel Bailón, Carolina Varon:
Evaluation of Methods to Characterize the Change of the Respiratory Sinus Arrhythmia with Age in Sleep Apnea Patients. EMBC 2019: 1588-1591 - [c157]Margot Deviaene, Dries Testelmans, Pascal Borzée, Bertien Buyse, Sabine Van Huffel, Carolina Varon:
Feature Selection Algorithm based on Random Forest applied to Sleep Apnea Detection. EMBC 2019: 2580-2583 - [c156]Claudio Stamile, François Cotton, Dominique Sappey-Marinier, Sabine Van Huffel:
Tensor Based Blind Source Separation in Longitudinal Magnetic Resonance Imaging Analysis. EMBC 2019: 3879-3883 - [c155]Mario Lavanga, Ofelie De Wel, Alexander Caicedo, Margot Deviaene, Jonathan Moeyersons, Carolina Varon, Bieke Bollen, Katrien Jansen, Els Ortibus, Gunnar Naulaers, Sabine Van Huffel:
The implementation of an apnea-based perinatal stress calculator. EMBC 2019: 6000-6003 - [c154]Amalia Villa Gómez, Margot Deviaene, Rik Willems, Sabine Van Huffel, Carolina Varon:
Are we training our heartbeat classification algorithms properly? EMBC 2019: 6363-6366 - [c153]Simon Van Eyndhoven, Nico Vervliet, Lieven De Lathauwer, Sabine Van Huffel:
Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. EUSIPCO 2019: 1-5 - [c152]Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP 2019: 1-5 - 2018
- [j120]Alexander A. Suárez León, Carolina Varon, Rik Willems, Sabine Van Huffel, Carlos R. Vázquez-Seisdedos:
T-wave end detection using neural networks and Support Vector Machines. Comput. Biol. Medicine 96: 116-127 (2018) - [j119]Dries Hendrikx, Liesbeth Thewissen, Anne Smits, Gunnar Naulaers, Karel Allegaert, Sabine Van Huffel, Alexander Caicedo:
Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants. Complex. 2018: 6504039:1-6504039:15 (2018) - [j118]Lieven Billiet, Thijs Willem Swinnen, Kurt de Vlam, René Westhovens, Sabine Van Huffel:
Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach. Informatics 5(2): 20 (2018) - [j117]Lieven Billiet, Sabine Van Huffel, Vanya Van Belle:
Interval Coded Scoring: a toolbox for interpretable scoring systems. PeerJ Comput. Sci. 4: e150 (2018) - [j116]Ying Gu, Evy Cleeren, Jonathan Dan, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. Sensors 18(1): 29 (2018) - [j115]Ivan D. Castro, Carolina Varon, Tom Torfs, Sabine Van Huffel, Robert Puers, Chris Van Hoof:
Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring. Sensors 18(2): 577 (2018) - [j114]Amir Hossein Ansari, Perumpillichira J. Cherian, Alexander Caicedo Dorado, Katrien Jansen, Anneleen Dereymaeker, Leen De Wispelaere, Charlotte Dielman, Jan Vervisch, Paul Govaert, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data. IEEE J. Biomed. Health Informatics 22(4): 1114-1123 (2018) - [c151]Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel:
Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. ACSSC 2018: 799-805 - [c150]Thomas De Cooman, Carolina Varon, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel:
Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children. BHI 2018: 438-441 - [c149]Kaat Vandecasteele, Jesús Lázaro, Evy Cleeren, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Artifact Detection of Wrist Photoplethysmograph Signals. BIOSIGNALS 2018: 182-189 - [c148]Thomas De Cooman, Carolina Varon, Wim Van Paesschen, Sabine Van Huffel:
Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection. CinC 2018: 1-4 - [c147]Margot Deviaene, Jesús Lázaro, Dorien Huysmans, Dries Testelmans, Bertien Buyse, Sabine Van Huffel, Carolina Varon:
Sleep Apnea Detection Using Pulse Photoplethysmography. CinC 2018: 1-4 - [c146]Amalia Villa Gómez, Sibasankar Padhy, Rik Willems, Sabine Van Huffel, Carolina Varon:
Variational Mode Decomposition Features for Heartbeat Classification. CinC 2018: 1-4 - [c145]Griet Goovaerts, Sibasankar Padhy, Carolina Varon, Bert Vandenberk, Rik Willems, Sabine Van Huffel:
Risk Assessment of All-Cause Mortality in Patients with an Implantable Cardioverter Defibrillator Using a Novel QRS Fragmentation Score. CinC 2018: 1-4 - [c144]Dorien Huysmans, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon:
Unsupervised Artefact Detection and Screening Using Emfit Sensor in Patients With Sleep Apnea. CinC 2018: 1-4 - [c143]Jonathan Moeyersons, Matthew Amoni, Bert Vandenberk, Carolina Varon, Karin Sipido, Sabine Van Huffel, Rik Willems:
Temporal Beat-to-Beat Variability of Repolarization Changes Predict Non-Sustained Ventricular Tachycardia in Ischemic Heart Disease Patients. CinC 2018: 1-4 - [c142]Jonathan Moeyersons, Dries Testelmans, Bertien Buyse, Rik Willems, Sabine Van Huffel, Carolina Varon:
Evaluation of a Continuous ECG Quality Indicator Based on the Autocorrelation Function. CinC 2018: 1-4 - [c141]John F. Morales, Margot Deviaene, Javier Milagro, Dries Testelmans, Bertien Buyse, Raquel Bailón, Rik Willems, Sabine Van Huffel, Carolina Varon:
Respiratory Sinus Arrhythmia in Apnea Patients With Apnea Associated Comorbidities. CinC 2018: 1-4 - [c140]Carolina Varon, Margot Deviaene, Dries Hendrikx, Sara Van de Putte, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
The Cardiorespiratory Graph in Sleep Apnea and Associated Comorbidities. CinC 2018: 1-4 - [c139]Simon Van Eyndhoven, Martijn Bousse, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel:
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. MLSP 2018: 1-6 - 2017
- [j113]Nicolas Sauwen, Marjan Acou, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel:
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. BMC Medical Imaging 17(1): 29:1-29:14 (2017) - [j112]Yuqian Li, Xin Liu, Feng Wei, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Guang Hu, Yi Yao, Sabine Van Huffel:
An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation. Comput. Biol. Medicine 81: 121-129 (2017) - [j111]Mario Lavanga, Ofelie De Wel, Alexander Caicedo, Katrien Jansen, Anneleen Dereymaeker, Gunnar Naulaers, Sabine Van Huffel:
Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation. Complex. 2017: 9078541:1-9078541:13 (2017) - [j110]Ofelie De Wel, Mario Lavanga, Alexander Caicedo Dorado, Katrien Jansen, Anneleen Dereymaeker, Gunnar Naulaers, Sabine Van Huffel:
Complexity Analysis of Neonatal EEG Using Multiscale Entropy: Applications in Brain Maturation and Sleep Stage Classification. Entropy 19(10): 516 (2017) - [j109]Anneleen Dereymaeker, Kirubin Pillay, Jan Vervisch, Sabine Van Huffel, Gunnar Naulaers, Katrien Jansen, Maarten De Vos:
An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation. Int. J. Neural Syst. 27(6): 1750023:1-1750023:18 (2017) - [j108]Thomas De Cooman, Carolina Varon, Borbála Hunyadi, Wim Van Paesschen, Lieven Lagae, Sabine Van Huffel:
Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG. Int. J. Neural Syst. 27(7): 1750022:1-1750022:17 (2017) - [j107]Milica Milosevic, Anouk Van de Vel, Kris Cuppens, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Feature selection methods for accelerometry-based seizure detection in children. Medical Biol. Eng. Comput. 55(1): 151-165 (2017) - [j106]Kaat Vandecasteele, Thomas De Cooman, Ying Gu, Evy Cleeren, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment. Sensors 17(10): 2338 (2017) - [j105]Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics 21(4): 1124-1132 (2017) - [j104]Claudio Stamile, Gabriel Kocevar, François Cotton, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel:
Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. IEEE J. Biomed. Health Informatics 21(5): 1393-1402 (2017) - [j103]Borbála Hunyadi, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel:
Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data. WIREs Data Mining Knowl. Discov. 7(1) (2017) - [c138]Jonathan Moeyersons, Griet Goovaerts, Suzy Huijghebaert, Bert Vandenberk, Rik Willems, Sabine Van Huffel:
Automated T Wave End Detection Methods - Comparison of Four Different Methods for T Wave End Detection. BIOSIGNALS 2017: 92-98 - [c137]John F. Morales, Carolina Varon, Margot Deviaene, Pascal Borzée, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
Sleep Apnea Hypopnea Syndrome classification in SpO2 signals using wavelet decomposition and phase space reconstruction. BSN 2017: 43-46 - [c136]Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Francesco Calimeri, Sabine Van Huffel:
A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). CEC 2017: 681-687 - [c135]Jesús Lázaro, Eduardo Gil, Margot Deviaene, Raquel Bailón, Dries Testelmans, Bertien Buyse, Carolina Varon, Sabine Van Huffel:
Pulse Photoplethysmography Derived Respiration for Obstructive Sleep Apnea Detection. CinC 2017 - [c134]Thomas De Cooman, Carolina Varon, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel:
Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection. CinC 2017 - [c133]Margot Deviaene, Carolina Varon, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
Assessing Cardiovascular Comorbidities in Sleep Apnea Patients Using SpO2. CinC 2017 - [c132]Griet Goovaerts, Sabine Van Huffel, Xiao Hu:
Tensor-based Analysis of ECG Changes Prior to In-Hospital Cardiac Arrest. CinC 2017 - [c131]Alexander A. Suárez León, Griet Goovaerts, Carolina Varon, Carlos R. Vázquez-Seisdedos, Sabine Van Huffel:
Irregular Heart Beat Detection Using Sequentially Truncated Multi-Linear Singular Value Decomposition. CinC 2017 - [c130]Jonathan Moeyersons, Carolina Varon, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
ECG Artefact Detection Using Ensemble Decision Trees. CinC 2017 - [c129]Carolina Varon, Jesús Lázaro, Alberto Hernando Sanz, Alexander Caicedo, Sabine Van Huffel, Raquel Bailón:
Removal of Respiratory Influences from Heart Rate During Emotional Stress. CinC 2017 - [c128]Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer:
Irregular heartbeat classification using Kronecker Product Equations. EMBC 2017: 438-441 - [c127]Mario Lavanga, Ofelie De Wel, Alexander Caicedo, Elke Heremans, Katrien Jansen, Anneleen Dereymaeker, Gunnar Naulaers, Sabine Van Huffel:
Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation. EMBC 2017: 2010-2013 - [c126]Amir Hossein Ansari, P. J. Cherian, Alexander Caicedo, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Improved neonatal seizure detection using adaptive learning. EMBC 2017: 2810-2813 - [c125]Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel:
Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. ESANN 2017 - [c124]Simon Van Eyndhoven, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel:
Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. EUSIPCO 2017: 26-30 - [c123]Yissel Rodriguez Aldana, Borbála Hunyadi, Enrique Juan Marañón Reyes, Valia Rodriguez Rodriguez, Sabine Van Huffel:
Nonconvulsive epileptic seizures detection using multiway data analysis. EUSIPCO 2017: 2344-2348 - [c122]Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. ICANN (2) 2017: 643-651 - [c121]Lieven Billiet, Sabine Van Huffel, Vanya Van Belle:
Interval Coded Scoring extensions for larger problems. ISCC 2017: 198-203 - [c120]Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel:
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. BrainLes@MICCAI 2017: 463-473 - 2016
- [j102]Hui Wang, Sabine Van Huffel, Guan Gui, Qun Wan:
One-bit Matrix Compressed Sensing Algorithm for Sparse Matrix Recovery. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(2): 647-650 (2016) - [j101]Lieven Billiet, Thijs Willem Swinnen, René Westhovens, Kurt de Vlam, Sabine Van Huffel:
Accelerometry-Based Activity Recognition and Assessment in Rheumatic and Musculoskeletal Diseases. Sensors 16(12): 2151 (2016) - [j100]Vladimir Matic, Perumpillichira J. Cherian, Katrien Jansen, Ninah Koolen, Gunnar Naulaers, Renate M. Swarte, Paul Govaert, Sabine Van Huffel, Maarten De Vos:
Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants. IEEE Trans. Biomed. Eng. 63(5): 973-983 (2016) - [j99]Milica Milosevic, Anouk Van de Vel, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Automated Detection of Tonic-Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients. IEEE J. Biomed. Health Informatics 20(5): 1333-1341 (2016) - [c119]Griet Goovaerts, Bert Vandenberk, Carolina Varon, Rik Willems, Sabine Van Huffel:
Phase-Rectified Signal Averaging for Automatic Detection of QRS Fragmentation. CinC 2016 - [c118]Alexander A. Suárez León, Griet Goovaerts, Carlos R. Vázquez-Seisdedos, Sabine Van Huffel:
Irregular Heartbeats Detection Using Tensors and Support Vector Machines. CinC 2016 - [c117]Carolina Varon, Luca Faes, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
Information Transfer Between Respiration and Heart Rate During Sleep Apnea. CinC 2016 - [c116]Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel:
Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. ESANN 2016 - [c115]Borbála Hunyadi, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel:
Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity. EUSIPCO 2016: 240-244 - [c114]Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO 2016: 547-551 - [c113]Claudio Stamile, François Cotton, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel:
White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization. ICIAR 2016: 650-657 - [c112]Lieven Billiet, Sabine Van Huffel, Vanya Van Belle:
Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study. ICPRAM 2016: 33-40 - [c111]Saurabh Jain, Diana Maria Sima, Faezeh Sanaei Nezhad, Steve Williams, Sabine Van Huffel, Frederik Maes, Dirk Smeets:
Patch based super-resolution of MR spectroscopic images. ISBI 2016: 452-456 - [c110]Lieven Billiet, Thijs Willem Swinnen, René Westhovens, Kurt de Vlam, Sabine Van Huffel:
Activity recognition for physical therapy: fusing signal processing features and movement patterns. iWOAR 2016: 5:1-5:6 - [c109]Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets:
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI 2016: 208-219 - [c108]Claudio Stamile, François Cotton, Dominique Sappey-Marinier, Sabine Van Huffel:
Longitudinal Neuroimaging Analysis Using Non-Negative Matrix Factorization. SITIS 2016: 55-61 - [c107]Nicolas Sauwen, Diana Maria Sima, Marjan Acou, Eric Achten, Frederik Maes, Uwe Himmelreich, Sabine Van Huffel:
A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. SITIS 2016: 88-95 - 2015
- [j98]K. Van Hoorde, Sabine Van Huffel, Dirk Timmerman, Tom Bourne, Ben Van Calster:
A spline-based tool to assess and visualize the calibration of multiclass risk predictions. J. Biomed. Informatics 54: 283-293 (2015) - [j97]Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Maarten De Vos, Wim Van Paesschen:
A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. NeuroImage 113: 329-339 (2015) - [j96]Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan A. K. Suykens:
Two-level ℓ1 minimization for compressed sensing. Signal Process. 108: 459-475 (2015) - [j95]Yipeng Liu, Maarten De Vos, Sabine Van Huffel:
Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization. IEEE Trans. Biomed. Eng. 62(8): 2055-2061 (2015) - [j94]Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel:
Corrections to "Unsupervised Nosologic Imaging for Glioma Diagnosis". IEEE Trans. Biomed. Eng. 62(8): 2091 (2015) - [j93]Carolina Varon, Alexander Caicedo, Dries Testelmans, Bertien Buyse, Sabine Van Huffel:
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG. IEEE Trans. Biomed. Eng. 62(9): 2269-2278 (2015) - [c106]Lieven Billiet, Borbála Hunyadi, Vladimir Matic, Sabine Van Huffel, Michel Verleysen, Maarten De Vos:
Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. BIOSIGNALS 2015: 5-11 - [c105]Hui Wang, Xiaolin Huang, Yipeng Liu, Sabine Van Huffel, Qun Wan:
Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing. BIOSIGNALS 2015: 206-210 - [c104]Carolina Varon, Sabine Van Huffel:
ECG-Derived Respiration for Ambulatory Monitoring. CinC 2015: 169-172 - [c103]Griet Goovaerts, Ofelie De Wel, Bert Vandenberk, Rik Willems, Sabine Van Huffel:
Detection of Irregular Heartbeats Using Tensors. CinC 2015: 573-576 - [c102]Alexander A. Suárez León, Danelia Matos Molina, Griet Goovaerts, Carlos R. Vázquez-Seisdedos, Steven Vandeput, Sabine Van Huffel:
Neural Network Approach for T-wave End Detection: a Comparison of Architectures. CinC 2015: 589-592 - [c101]Thomas De Cooman, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Wim Van Paesschen, Bart Vanrumste, Sabine Van Huffel:
Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG. CinC 2015: 977-980 - [c100]Ninah Koolen, Anneleen Dereymaeker, Okko Johannes Räsänen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel, Sampsa Vanhatalo:
Data-driven metric representing the maturation of preterm EEG. EMBC 2015: 1492-1495 - [c99]Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos:
Classifying the auditory P300 using mobile EEG recordings without calibration phase. EMBC 2015: 1777-1780 - [c98]Thomas De Cooman, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection. EMBC 2015: 5597-5600 - [c97]Amir Hossein Ansari, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, P. J. Cherian, Sabine Van Huffel:
Improvement of an automated neonatal seizure detector using a post-processing technique. EMBC 2015: 5859-5862 - [c96]Griet Goovaerts, Bert Vandenberk, Rik Willems, Sabine Van Huffel:
Tensor-based detection of T wave alternans using ECG. EMBC 2015: 6991-6994 - [c95]Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel:
Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. EMBC 2015: 7003-7006 - [c94]Borbála Hunyadi, Maarten De Vos, Wim Van Paesschen, Sabine Van Huffel:
Exploring the epileptic network with parallel ICA of interictal EEG-FMRI. EUSIPCO 2015: 429-433 - [c93]Ninah Koolen, Olivier Decroupet, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos:
Automated Respiration Detection from Neonatal Video Data. ICPRAM (2) 2015: 164-169 - [c92]Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos:
Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. NER 2015: 53-56 - [i5]Yipeng Liu, Maarten De Vos, Sabine Van Huffel:
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization. CoRR abs/1506.08499 (2015) - 2014
- [j92]Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Artif. Intell. Medicine 60(2): 89-96 (2014) - [j91]Borbála Hunyadi, Daan Camps, Laurent Sorber, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel, Lieven De Lathauwer:
Block term decomposition for modelling epileptic seizures. EURASIP J. Adv. Signal Process. 2014: 139 (2014) - [j90]Bogdan Mijovic, Maarten De Vos, Katrien Vanderperren, Bart Machilsen, Stefan Sunaert, Sabine Van Huffel, Johan Wagemans:
The dynamics of contour integration: A simultaneous EEG-fMRI study. NeuroImage 88: 10-21 (2014) - [j89]Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe:
Bayesian model selection of template forward models for EEG source reconstruction. NeuroImage 93: 11-22 (2014) - [j88]Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe:
Multiple sparse volumetric priors for distributed EEG source reconstruction. NeuroImage 100: 715-724 (2014) - [j87]Tim Willemen, Dorien Van Deun, Vincent Verhaert, Marie Vandekerckhove, Vasileios Exadaktylos, Johan Verbraecken, Sabine Van Huffel, Bart Haex, Jos Vander Sloten:
An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification. IEEE J. Biomed. Health Informatics 18(2): 661-669 (2014) - [j86]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Stijn Luca, Tom Croonenborghs, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. IEEE J. Biomed. Health Informatics 18(3): 1026-1033 (2014) - [c91]Griet Goovaerts, Ad Denissen, Milica Milosevic, Geert J. M. van Boxtel, Sabine Van Huffel:
Advanced EEG Processing for the Detection of Drowsiness in Drivers. BIOSIGNALS 2014: 205-212 - [c90]Griet Goovaerts, Carolina Varon, Bert Vandenberk, Rik Willems, Sabine Van Huffel:
Tensor-based Detection of T Wave Alternans in Multilead ECG Signals. CinC 2014: 185-188 - [c89]Tim Willemen, Carolina Varon, Bart Haex, Jos Vander Sloten, Sabine Van Huffel:
Assessment of Different Methodologies to Include Temporal Information in Classifying Episodes of Sleep Apnea Based on Single-Lead Electrocardiogram. CinC 2014: 245-248 - [c88]Thomas De Cooman, Griet Goovaerts, Carolina Varon, Devy Widjaja, Sabine Van Huffel:
Heart Beat Detection in Multimodal Data using Signal Recognition and Beat Location Estimation. CinC 2014: 257-260 - [c87]Carolina Varon, Morenikeji Alao, Jan Minter, Michelle Stapleton, Stuart Thomson, Siegfried Jaecques, Hans-Peter Brunner-La Rocca, Sabine Van Huffel:
Effect of Telehealth on Self-Care Behavior of Heart Failure Patients. CinC 2014: 473-476 - [c86]Alexander Caicedo, Carolina Varon, Sabine Van Huffel:
Analysis of Non-linear Respiratory Influences on Sleep Apnea Classification. CinC 2014: 593-596 - [c85]Devy Widjaja, Carolina Varon, Dries Testelmans, Bertien Buyse, Luca Faes, Sabine Van Huffel:
Separating Respiratory Influences from the Tachogram: Methods and their Sensitivity to the Type of Respiratory Signal. CinC 2014: 609-612 - [c84]Carolina Varon, Katrien Jansen, Lieven Lagae, Luca Faes, Sabine Van Huffel:
Transient Behavior of Cardiorespiratory Interactions towards the Onset of Epileptic Seizures. CinC 2014: 917-920 - [c83]Carolina Varon, Alexander Caicedo, Katrien Jansen, Lieven Lagae, Sabine Van Huffel:
Detection of epileptic seizures from single lead ECG by means of phase rectified signal averaging. EMBC 2014: 3789-3790 - [c82]Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Wim Van Paesschen, Maarten De Vos:
Automatic selection of epileptic independent fMRI components. EMBC 2014: 3853-3856 - [c81]Alexander Caicedo, Carolina Varon, Thomas Alderliesten, Petra M. A. Lemmers, Frank van Bel, Gunnar Naulaers, Sabine Van Huffel:
Differences in the cerebral hemodynamics regulation mechanisms of premature infants with intra-ventricular hemorrhage assessed by means of phase rectified signal averaging. EMBC 2014: 4208-4211 - [c80]Luca Faes, Devy Widjaja, Sabine Van Huffel, Giandomenico Nollo:
Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework. EMBC 2014: 6020-6023 - [c79]Tim Willemen, Dorien Van Deun, Vincent Verhaert, Sabine Van Huffel, Bart Haex, Jos Vander Sloten:
Characterization of the respiratory and heart beat signal from an air pressure-based ballistocardiographic setup. EMBC 2014: 6298-6301 - [c78]Devy Widjaja, Luca Faes, Alessandro Montalto, Ilse Van Diest, Daniele Marinazzo, Sabine Van Huffel:
Information dynamics in cardiorespiratory analyses: Application to controlled breathing. EMBC 2014: 6353-6356 - [c77]Yurrit Avonds, Yipeng Liu, Sabine Van Huffel:
Simultaneous Greedy Analysis Pursuit for compressive sensing of multi-channel ECG signals. EMBC 2014: 6385-6388 - [c76]Wout Swinnen, Borbála Hunyadi, Evrim Acar, Sabine Van Huffel, Maarten De Vos:
Incorporating higher dimensionality in joint decomposition of EEG and fMRI. EUSIPCO 2014: 121-125 - [c75]Thomas De Cooman, Evelien Carrette, Paul Boon, Alfred Meurs, Sabine Van Huffel:
Online seizure detection in adults with temporal lobe epilepsy using single-lead ECG. EUSIPCO 2014: 1532-1536 - [c74]Ninah Koolen, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. ICPRAM 2014: 765-770 - [c73]Milica Milosevic, Anouk Van de Vel, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Detection of epileptic convulsions from accelerometry signals through machine learning approach. MLSP 2014: 1-6 - 2013
- [j85]Devy Widjaja, Michele Orini, Elke Vlemincx, Sabine Van Huffel:
Cardiorespiratory Dynamic Response to Mental Stress: A Multivariate Time-Frequency Analysis. Comput. Math. Methods Medicine 2013: 451857:1-451857:12 (2013) - [j84]Vanya Van Belle, Patrick Neven, Vernon Harvey, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd:
Risk group detection and survival function estimation for interval coded survival methods. Neurocomputing 112: 200-210 (2013) - [j83]Ivan Gligorijevic, Johannes P. van Dijk, Bogdan Mijovic, Sabine Van Huffel, Joleen H. Blok, Maarten De Vos:
A new and fast approach towards sEMG decomposition. Medical Biol. Eng. Comput. 51(5): 593-605 (2013) - [j82]Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel:
Unsupervised Nosologic Imaging for Glioma Diagnosis. IEEE Trans. Biomed. Eng. 60(6): 1760-1763 (2013) - [j81]Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel:
Multi-structural Signal Recovery for Biomedical Compressive Sensing. IEEE Trans. Biomed. Eng. 60(10): 2794-2805 (2013) - [c72]Ninah Koolen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Automatic Burst Detection based on Line Length in the Premature EEG. BIOSIGNALS 2013: 105-111 - [c71]Maristella Lucchini, Devy Widjaja, Carolina Varon, Katrien Jansen, Sabine Van Huffel:
Phase-Rectified Signal Averaging to Evaluate ANS Development in Premature Infants. BIOSIGNALS 2013: 203-208 - [c70]Devy Widjaja, Michele Orini, Elke Vlemincx, Sabine Van Huffel:
Analysis of Cardio-respiratory Dynamics during Mental Stress using (Partial) Time-Frequency Spectra. CinC 2013: 105-108 - [c69]Carolina Varon, Katrien Jansen, Lieven Lagae, Sabine Van Huffel:
Detection of Epileptic Seizures by Means of Morphological Changes in the ECG. CinC 2013: 863-866 - [c68]Alexander Caicedo, Gunnar Naulaers, Sabine Van Huffel:
Preprocessing by means of subspace projections for continuous Cerebral Autoregulation assessment using NIRS. EMBC 2013: 2032-2035 - [c67]Sem Peelman, Joachim van der Herten, Maarten De Vos, Wen-shin Lee, Sabine Van Huffel, Annie A. M. Cuyt:
Sparse reconstruction of correlated multichannel activity. EMBC 2013: 3897-3900 - [c66]Carolina Varon, Dries Testelmans, Bertien Buyse, Johan A. K. Suykens, Sabine Van Huffel:
Sleep apnea classification using least-squares support vector machines on single lead ECG. EMBC 2013: 5029-5032 - [c65]Bogdan Mijovic, Bart Machilsen, Borbála Hunyadi, Maarten De Vos, Johan Wagemans, Sabine Van Huffel:
Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task. EMBC 2013: 6019-6022 - [c64]Maarten De Vos, Rob Zink, Borbála Hunyadi, Bogdan Mijovic, Sabine Van Huffel, Stefan Debener:
The quest for single trial correlations in multimodal EEG-fMRI data. EMBC 2013: 6027-6030 - [c63]Devy Widjaja, Elke Vlemincx, Sabine Van Huffel:
Stress classification by separation of respiratory modulations in heart rate variability using orthogonal subspace projection. EMBC 2013: 6123-6126 - [c62]Jan Verveckken, Frederik Geth, Borbála Hunyadi, Jef Beerten, Niels Leemput, Juan Van Roy, Pieter Tielens, Valentijn De Smedt, Sandro Iacovella, Ninah Koolen, Hans De Clercq, Johan Driesen, Georges G. E. Gielen, Robert Puers, Joos Vandewalle, Sabine Van Huffel, Ronnie Belmans, Geert Deconinck, Wim Dehaene:
Developing engineering-oriented educational workshops within a student branch. EUROCON 2013: 933-940 - [c61]Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste:
Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers. ICPRAM 2013: 447-452 - [c60]Borbála Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos:
Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. PRNI 2013: 98-101 - [e2]Joaquim Gabriel, Jan Schier, Sabine Van Huffel, Emmanuel Conchon, Carlos Manuel B. A. Correia, Ana L. N. Fred, Hugo Gamboa:
Biomedical Engineering Systems and Technologies - 5th International Joint Conference, BIOSTEC 2012, Vilamoura, Portugal, February 1-4, 2012, Revised Selected Papers. Communications in Computer and Information Science 357, Springer 2013, ISBN 978-3-642-38255-0 [contents] - [i4]Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel:
Multi-Structural Signal Recovery for Biomedical Compressive Sensing. CoRR abs/1306.6510 (2013) - [i3]Yurrit Avonds, Yipeng Liu, Sabine Van Huffel:
Simultaneous Greedy Analysis Pursuit for Compressive Sensing of Multi-Channel ECG Signals. CoRR abs/1311.4922 (2013) - [i2]Yipeng Liu, Maarten De Vos, Sabine Van Huffel:
Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties. CoRR abs/1311.4924 (2013) - 2012
- [j80]Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens:
A mixed effects least squares support vector machine model for classification of longitudinal data. Comput. Stat. Data Anal. 56(3): 611-628 (2012) - [j79]Bogdan Mijovic, Katrien Vanderperren, Nikolay Novitskiy, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Lieven Lagae, Stefan Sunaert, Johan Wagemans, Sabine Van Huffel, Maarten De Vos:
The "why" and "how" of JointICA: Results from a visual detection task. NeuroImage 60(2): 1171-1185 (2012) - [j78]Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer:
A combination of parallel factor and independent component analysis. Signal Process. 92(12): 2990-2999 (2012) - [j77]Devy Widjaja, Carolina Varon, Alexander Dorado, Johan A. K. Suykens, Sabine Van Huffel:
Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration. IEEE Trans. Biomed. Eng. 59(4): 1169-1176 (2012) - [c59]Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel:
Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization. BIOSIGNALS 2012: 25-31 - [c58]Hannelore Eykens, Devy Widjaja, Katrien Vanderperren, Joachim Taelman, Marijke A. K. A. Braeken, Renée A. Otte, Bea Van den Bergh, Sabine Van Huffel:
Phase-rectified Signal Averaging for the Quantification of the Influence of Prenatal Anxiety on Heart Rate Variability of Babies. BIOSIGNALS 2012: 163-168 - [c57]Ninah Koolen, Ivan Gligorijevic, Sabine Van Huffel:
Reliability of Statistical Features Describing Neural Spike Trains in the Presence of Classification Errors. BIOSIGNALS 2012: 169-173 - [c56]Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel:
Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization. BIOSIGNALS 2012: 212-217 - [c55]Kris Cuppens, Bert Bonroy, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste:
Automatic Video Detection of Nocturnal Epileptic Movement based on Motion Tracks. BIOSIGNALS 2012: 342-345 - [c54]Vladimir Matic, Perumpillichira J. Cherian, Katrien Jansen, Ninah Koolen, Gunnar Naulaers, Renate M. Swarte, Paul Govaert, Gerhard H. Visser, Sabine Van Huffel, Maarten De Vos:
Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy. EMBC 2012: 17-20 - [c53]Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Multi-sparse signal recovery for compressive sensing. EMBC 2012: 1053-1056 - [c52]Carolina Varon, Dries Testelmans, Bertien Buyse, Johan A. K. Suykens, Sabine Van Huffel:
Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis. EMBC 2012: 3151-3154 - [c51]Kris Cuppens, Chih-Wei Chen, Kevin Bing-Yung Wong, Anouk Van de Vel, Lieven Lagae, Berten Ceulemans, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan:
Using spatio-temporal interest points (STIP) for myoclonic jerk detection in nocturnal video. EMBC 2012: 4454-4457 - [c50]Alexander Caicedo, Ilias Tachtsidis, Maria D. Papademetriou, Sabine Van Huffel:
Decoupling the influence of systemic variables in the peripheral and cerebral haemodynamics during ECMO procedure by means of oblique and orthogonal subspace projections. EMBC 2012: 6153-6156 - [c49]Vanya Van Belle, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd:
Interval coded scoring systems for survival analysis. ESANN 2012 - [c48]Kris Cuppens, Chih-Wei Chen, Kevin Bing-Yung Wong, Anouk Van de Vel, Lieven Lagae, Berten Ceulemans, Tinne Tuytelaars, Sabine Van Huffel, Bart Vanrumste, Hamid K. Aghajan:
Integrating video and accelerometer signals for nocturnal epileptic seizure detection. ICMI 2012: 161-164 - [c47]Borbála Hunyadi, Bogdan Mijovic, Simon Tousseyn, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos:
ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. PRNI 2012: 21-24 - [e1]Sabine Van Huffel, Carlos Manuel B. A. Correia, Ana L. N. Fred, Hugo Gamboa:
BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, Vilamoura, Algarve, Portugal, 1-4 February, 2012. SciTePress 2012, ISBN 978-989-8425-89-8 [contents] - [i1]Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Multi-Sparse Signal Recovery for Compressive Sensing. CoRR abs/1206.0663 (2012) - 2011
- [j76]Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens:
Support vector methods for survival analysis: a comparison between ranking and regression approaches. Artif. Intell. Medicine 53(2): 107-118 (2011) - [j75]Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens:
Improved performance on high-dimensional survival data by application of Survival-SVM. Bioinform. 27(1): 87-94 (2011) - [j74]Geert J. Postma, Jan Luts, Albert J. Idema, Margarida Julià-Sapé, Àngel Moreno-Torres, Witek Gajewicz, Johan A. K. Suykens, Arend Heerschap, Sabine Van Huffel, Lutgarde M. C. Buydens:
On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. Comput. Biol. Medicine 41(2): 87-97 (2011) - [j73]Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel:
Learning Transformation Models for Ranking and Survival Analysis. J. Mach. Learn. Res. 12: 819-862 (2011) - [j72]Carlos Sáez, Juan Miguel García-Gómez, Javier Vicente, Salvador Tortajada, Jan Luts, David Dupplaw, Sabine Van Huffel, Montserrat Robles:
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. Knowl. Eng. Rev. 26(3): 283-301 (2011) - [j71]Nikolay Novitskiy, Jennifer R. Ramautar, Katrien Vanderperren, Maarten De Vos, Maarten Mennes, Bogdan Mijovic, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Lieven Lagae, Stefan Sunaert, Sabine Van Huffel, Johan Wagemans:
The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. NeuroImage 54(2): 824-835 (2011) - [j70]Mariya Ishteva, Pierre-Antoine Absil, Sabine Van Huffel, Lieven De Lathauwer:
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme. SIAM J. Matrix Anal. Appl. 32(1): 115-135 (2011) - [j69]Iveta Hnetynková, Martin Plesinger, Diana Maria Sima, Zdenek Strakos, Sabine Van Huffel:
The Total Least Squares Problem in AX ≈ B: A New Classification with the Relationship to the Classical Works. SIAM J. Matrix Anal. Appl. 32(3): 748-770 (2011) - [j68]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Spatially constrained ICA algorithm with an application in EEG processing. Signal Process. 91(8): 1963-1972 (2011) - [c46]Perumpillichira J. Cherian, W. Deburchgraeve, Vladimir Matic, Maarten De Vos, Renate M. Swarte, Joleen H. Blok, Paul Govaert, Sabine Van Huffel, Gerhard H. Visser:
Improvement and Validation of an Automated Neonatal Seizure Detector. BIOSIGNALS 2011: 31-37 - [c45]M. I. Osorio Garcia, Diana Maria Sima, Sabine Van Huffel, F. U. Nielsen, Uwe Himmelreich:
Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification. BIOSIGNALS 2011: 176-181 - [c44]Milica Milosevic, Steven Vandeput, Sabine Van Huffel, Katrien Jansen, Lieven Lagae:
Heart Rate Variability Analysis of Children with Refractory Epilepsy before and after the Vagus Nerve Stimulation. BIOSIGNALS 2011: 409-412 - [c43]Joachim Taelman, Bogdan Mijovic, Sabine Van Huffel, Stéphanie Devuyst, Thierry Dutoit:
ECG Artifact Removal from Surface EMG Signals by Combining Empirical Mode Decomposition and Independent Component Analysis. BIOSIGNALS 2011: 421-424 - [c42]Joachim Taelman, Steven Vandeput, Ivan Gligorijevic, Arthur Spaepen, Sabine Van Huffel:
Time-frequency heart rate variability characteristics of young adults during physical, mental and combined stress in laboratory environment. EMBC 2011: 1973-1976 - [c41]Ivan Gligorijevic, Maarten De Vos, Joleen H. Blok, Bogdan Mijovic, Johannes P. van Dijk, Sabine Van Huffel:
Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. EMBC 2011: 4090-4093 - [c40]Bogdan Mijovic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Independent component analysis as a preprocessing step for data compression of neonatal EEG. EMBC 2011: 7316-7319 - [c39]Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel:
Automatic Seizure Detection Incorporating Structural Information. ICANN (1) 2011: 233-240 - 2010
- [j67]Kris Cuppens, Lieven Lagae, Berten Ceulemans, Sabine Van Huffel, Bart Vanrumste:
Automatic video detection of body movement during sleep based on optical flow in pediatric patients with epilepsy. Medical Biol. Eng. Comput. 48(9): 923-931 (2010) - [j66]Katrien Vanderperren, Maarten De Vos, Jennifer R. Ramautar, Nikolay Novitskiy, Maarten Mennes, Sara Assecondi, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Johan Wagemans, Lieven Lagae, Stefan Sunaert, Sabine Van Huffel:
Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects. NeuroImage 50(3): 920-934 (2010) - [j65]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(2): 135-150 (2010) - [j64]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(3): 155 (2010) - [j63]Bogdan Mijovic, Maarten De Vos, Ivan Gligorijevic, Joachim Taelman, Sabine Van Huffel:
Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis. IEEE Trans. Biomed. Eng. 57(9): 2188-2196 (2010) - [c38]Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel:
On the use of a clinical kernel in survival analysis. ESANN 2010 - [c37]Kris Cuppens, Bart Vanrumste, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel:
Detection of Epileptic Seizures Using Video Data. Intelligent Environments 2010: 372-373
2000 – 2009
- 2009
- [j62]Horacio González-Vélez, Mariola Mier, Margarida Julià-Sapé, Theodoros N. Arvanitis, Juan Miguel García-Gómez, Montserrat Robles, Paul H. Lewis, Srinandan Dasmahapatra, David Dupplaw, Andrew Peet, Carles Arús, Bernardo Celda, Sabine Van Huffel, Magí Lluch i Ariet:
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis. Appl. Intell. 30(3): 191-202 (2009) - [j61]Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel:
An application of methods for the probabilistic three-class classification of pregnancies of unknown location. Artif. Intell. Medicine 46(2): 139-154 (2009) - [j60]Katarzyna J. Blinowska, Gernot R. Müller-Putz, Vera Kaiser, Laura Astolfi, Katrien Vanderperren, Sabine Van Huffel, Louis Lemieux:
Multimodal Imaging of Human Brain Activity: Rational, Biophysical Aspects and Modes of Integration. Comput. Intell. Neurosci. 2009: 813607:1-813607:10 (2009) - [j59]Mariya Ishteva, Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel:
Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors. Numer. Algorithms 51(2): 179-194 (2009) - [j58]Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel:
A Geometric Newton Method for Oja's Vector Field. Neural Comput. 21(5): 1415-1433 (2009) - [c36]Jan Luts, Johan A. K. Suykens, Sabine Van Huffel, Teresa Laudadio, Sofie Van Cauter, Uwe Himmelreich, Enrique Molla, Jose Piquer, M. Carmen Martínez-Bisbal, Bernardo Celda:
Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI. CBMS 2009: 1-8 - [c35]Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel:
MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69 - [c34]Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel:
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. IWANN (1) 2009: 65-72 - [p2]Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman:
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128 - 2008
- [j57]Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel:
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Comput. Appl. 17(5-6): 489-500 (2008) - [c33]Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous:
Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS 2008: 581-583 - [c32]Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel:
Multi-class classification of ovarian tumors. ESANN 2008: 65-70 - [c31]Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel:
Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94 - [c30]Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel:
Multi-class AUC metrics and weighted alternatives. IJCNN 2008: 1390-1396 - [c29]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Algorithm for imposing SOBI-type constraints on the CP model. ISCAS 2008: 1344-1347 - 2007
- [j56]Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sabine Van Huffel:
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection. Artif. Intell. Medicine 40(2): 87-102 (2007) - [j55]Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen:
Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. Comput. Intell. Neurosci. 2007 (2007) - [j54]B. De Neuter, Jan Luts, Leentje Vanhamme, Philippe Lemmerling, Sabine Van Huffel:
Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. Comput. Methods Programs Biomed. 85(2): 129-137 (2007) - [j53]Sabine Van Huffel, Chi-Lun Cheng, Nicola Mastronardi, Chris Paige, Alexander Kukush:
Total Least Squares and Errors-in-variables Modeling. Comput. Stat. Data Anal. 52(2): 1076-1079 (2007) - [j52]Diana Maria Sima, Sabine Van Huffel:
Level choice in truncated total least squares. Comput. Stat. Data Anal. 52(2): 1103-1118 (2007) - [j51]Alexander Kukush, Ivan Markovsky, Sabine Van Huffel:
Estimation in a linear multivariate measurement error model with a change point in the data. Comput. Stat. Data Anal. 52(2): 1167-1182 (2007) - [j50]Nicola Mastronardi, Gene H. Golub, Shivkumar Chandrasekaran, Marc Moonen, Paul Van Dooren, Sabine Van Huffel:
Numerical Linear Algebra in Signal Processing Applications. EURASIP J. Adv. Signal Process. 2007 (2007) - [j49]Maarten De Vos, Anneleen Vergult, Lieven De Lathauwer, Wim De Clercq, Sabine Van Huffel, Patrick Dupont, A. Palmini, Wim Van Paesschen:
Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage 37(3): 844-854 (2007) - [j48]Sabine Van Huffel, Ivan Markovsky, Richard J. Vaccaro, Torsten Söderström:
Total least squares and errors-in-variables modeling. Signal Process. 87(10): 2281-2282 (2007) - [j47]Ivan Markovsky, Sabine Van Huffel:
Overview of total least-squares methods. Signal Process. 87(10): 2283-2302 (2007) - [j46]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling. IEEE Signal Process. Lett. 14(7): 473-476 (2007) - [j45]Viktoriya Stalbovskaya, Emmanuel C. Ifeachor, Sabine Van Huffel, Dirk Timmerman:
A New Method for Modeling Preoperative Diagnosis of Ovarian Tumors. IEEE Trans. Biomed. Eng. 54(11): 2064-2072 (2007) - [j44]Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel:
Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis. IEEE Trans. Inf. Technol. Biomed. 11(3): 338-347 (2007) - [c28]Juan Miguel García-Gómez, Montserrat Robles, Sabine Van Huffel, Alfons Juan-Císcar:
Modelling of Magnetic Resonance Spectra Using Mixtures for Binned and Truncated Data. IbPRIA (2) 2007: 266-273 - [c27]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Imposing Independence Constraints in the CP Model. ICA 2007: 33-40 - [c26]Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel:
Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148 - [c25]M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman:
Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186 - [c24]Juan Miguel García-Gómez, Salvador Tortajada, Javier Vicente, Carlos Sáez, Xavier Castells, Jan Luts, Margarida Julià-Sapé, Alfons Juan-Císcar, Sabine Van Huffel, Anna Barceló, Joaquín Ariño, Carles Arús, Montserrat Robles:
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. IWANN 2007: 1012-1019 - 2006
- [j43]Ivan Markovsky, Maria Luisa Rastello, Amedeo Premoli, Alexander Kukush, Sabine Van Huffel:
The element-wise weighted total least-squares problem. Comput. Stat. Data Anal. 50(1): 181-209 (2006) - [j42]Diana Maria Sima, Sabine Van Huffel:
A class of template splines. Comput. Stat. Data Anal. 50(12): 3486-3499 (2006) - [j41]M. Schuermans, Philippe Lemmerling, Sabine Van Huffel:
Block-row Hankel weighted low rank approximation. Numer. Linear Algebra Appl. 13(4): 293-302 (2006) - [j40]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
Common pole estimation in multi-channel exponential data modeling. Signal Process. 86(4): 846-858 (2006) - [j39]M. Schuermans, Philippe Lemmerling, Lieven De Lathauwer, Sabine Van Huffel:
The use of total least squares data fitting in the shape-from-moments problem. Signal Process. 86(5): 1109-1115 (2006) - [j38]Wim De Clercq, Anneleen Vergult, Bart Vanrumste, Wim Van Paesschen, Sabine Van Huffel:
Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram. IEEE Trans. Biomed. Eng. 53(12): 2583-2587 (2006) - [c23]Hans Hallez, Anneleen Vergult, Ronald Phlypo, Peter Van Hese, Wim De Clercq, Yves D'Asseler, Rik Van de Walle, Bart Vanrumste, Wim Van Paesschen, Sabine Van Huffel, Ignace Lemahieu:
Muscle and eye movement artifact removal prior to EEG source localization. EMBC 2006: 1002-1005 - [c22]Andy Devos, Niki Bergans, Tom Dresselaers, Jos De Brabanter, Diana Maria Sima, Leentje Vanhamme, Florent Vanstapel, Paul Van Hecke, Sabine Van Huffel:
Model order selection for quantification of a multi-exponential magnetic resonance spectrum. EMBC 2006: 1299-1302 - [c21]Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel:
Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. EMBC 2006: 5342-5345 - [c20]Jean-Baptiste Poullet, Diana Maria Sima, Sabine Van Huffel:
Frequency-selective quantification of short-echo time Magnetic Resonance spectra. EMBC 2006: 6351-6355 - [c19]Carles Arús, Bernardo Celda, Srinandan Dasmahapatra, David Dupplaw, Horacio González-Vélez, Sabine Van Huffel, Paul H. Lewis, Magí Lluch i Ariet, Mariola Mier, Andrew Peet, Montserrat Robles:
On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents. IAT Workshops 2006: 208-211 - 2005
- [j37]Nicola Mastronardi, Philippe Lemmerling, Sabine Van Huffel:
Fast regularized structured total least squares algorithm for solving the basic deconvolution problem. Numer. Linear Algebra Appl. 12(2-3): 201-209 (2005) - [j36]Nicola Mastronardi, Sabine Van Huffel:
Numerical linear algebra and its applications. Numer. Linear Algebra Appl. 12(8): 683 (2005) - [j35]Jean-Michel Papy, Lieven De Lathauwer, Sabine Van Huffel:
Exponential data fitting using multilinear algebra: the single-channel and multi-channel case. Numer. Linear Algebra Appl. 12(8): 809-826 (2005) - [j34]Ivan Markovsky, Sabine Van Huffel, Rik Pintelon:
Block-Toeplitz/Hankel Structured Total Least Squares. SIAM J. Matrix Anal. Appl. 26(4): 1083-1099 (2005) - [j33]Kris Hermus, Werner Verhelst, Philippe Lemmerling, Patrick Wambacq, Sabine Van Huffel:
Perceptual audio modeling with exponentially damped sinusoids. Signal Process. 85(1): 163-176 (2005) - [j32]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon:
Application of structured total least squares for system identification and model reduction. IEEE Trans. Autom. Control. 50(10): 1490-1500 (2005) - [j31]Wim De Clercq, Bart Vanrumste, Jean-Michel Papy, Wim Van Paesschen, Sabine Van Huffel:
Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings. IEEE Trans. Biomed. Eng. 52(12): 2006-2015 (2005) - [c18]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor:
Software for Approximate Linear System Identification. CDC/ECC 2005: 1559-1564 - [c17]Ivan Markovsky, Sabine Van Huffel:
On Weighted Structured Total Least Squares. LSSC 2005: 695-702 - 2004
- [j30]Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Franklyn A. Howe, Carles Majós, Àngel Moreno-Torres, M. Van Der Graaf, Anne Rosemary Tate, Carles Arús, Sabine Van Huffel:
Brain tumor classification based on long echo proton MRS signals. Artif. Intell. Medicine 31(1): 73-89 (2004) - [j29]Alexander Kukush, Ivan Markovsky, Sabine Van Huffel:
Consistent estimation in an implicit quadratic measurement error model. Comput. Stat. Data Anal. 47(1): 123-147 (2004) - [j28]Ivan Markovsky, Sabine Van Huffel, Alexander Kukush:
On the computation of the multivariate structured total least squares estimator. Numer. Linear Algebra Appl. 11(5-6): 591-608 (2004) - [j27]M. Schuermans, Philippe Lemmerling, Sabine Van Huffel:
Structured weighted low rank approximation. Numer. Linear Algebra Appl. 11(5-6): 609-618 (2004) - [j26]Ivan Markovsky, Alexander Kukush, Sabine Van Huffel:
Consistent least squares fitting of ellipsoids. Numerische Mathematik 98(1): 177-194 (2004) - [j25]Petre Stoica, Yngve Selén, Niclas Sandgren, Sabine Van Huffel:
Using prior knowledge in SVD-based parameter estimation for magnetic resonance spectroscopy-the ATP example. IEEE Trans. Biomed. Eng. 51(9): 1568-1578 (2004) - [c16]Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon:
Application of structured total least squares for system identification. CDC 2004: 3382-3387 - 2003
- [j24]Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman:
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artif. Intell. Medicine 28(3): 281-306 (2003) - [j23]Geert Morren, Philippe Lemmerling, Sabine Van Huffel:
Decimative subspace-based parameter estimation techniques. Signal Process. 83(5): 1025-1033 (2003) - [c15]Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote:
Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228 - [c14]Yngve Selén, Petre Stoica, Niclas Sandgren, Sabine Van Huffel:
Using prior knowledge in SVD-based NMR spectroscopy - the ATP example. ISSPA (2) 2003: 33-36 - 2002
- [j22]Alexander Kukush, Ivan Markovsky, Sabine Van Huffel:
Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis. Comput. Stat. Data Anal. 41(1): 3-18 (2002) - [j21]Philippe Lemmerling, Sabine Van Huffel, Bart De Moor:
The structured total least-squares approach for non-linearly structured matrices. Numer. Linear Algebra Appl. 9(4): 321-332 (2002) - [j20]Giansalvo Cirrincione, Maurizio Cirrincione, Jeanny Hérault, Sabine Van Huffel:
The MCA EXIN neuron for the minor component analysis. IEEE Trans. Neural Networks 13(1): 160-187 (2002) - [c13]Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús:
The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. ESANN 2002: 131-136 - [c12]Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger:
Prediction of mental development of preterm newborns at birth time using LS-SVM. ESANN 2002: 167-172 - 2001
- [j19]Philippe Lemmerling, Sabine Van Huffel:
Analysis of the Structured Total Least Squares Problem for Hankel/Toeplitz Matrices. Numer. Algorithms 27(1): 89-114 (2001) - [j18]Nicola Mastronardi, Shivkumar Chandrasekaran, Sabine Van Huffel:
Fast and stable two-way algorithm for diagonal plus semi-separable systems of linear equations. Numer. Linear Algebra Appl. 8(1): 7-12 (2001) - [j17]Philippe Lemmerling, Leentje Vanhamme, Sabine Van Huffel, Bart De Moor:
IQML-like algorithms for solving structured total least squares problems: a unified view. Signal Process. 81(9): 1935-1945 (2001) - [c11]Vasile Sima, Sabine Van Huffel:
Performance investigation of SLICOT system identification toolbox. ECC 2001: 3586-3591 - 2000
- [j16]Philippe Lemmerling, Nicola Mastronardi, Sabine Van Huffel:
Fast algorithm for solving the Hankel/Toeplitz Structured Total Least Squares problem. Numer. Algorithms 23(4): 371-392 (2000) - [j15]Nicola Mastronardi, Philippe Lemmerling, Sabine Van Huffel:
Fast Structured Total Least Squares Algorithm for Solving the Basic Deconvolution Problem. SIAM J. Matrix Anal. Appl. 22(2): 533-553 (2000) - [c10]Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote:
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108 - [c9]Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione:
The GeTLS EXIN Neuron for Linear Regression. IJCNN (6) 2000: 285-289 - [c8]Nicola Mastronardi, Paul Van Dooren, Sabine Van Huffel:
On the Stability of the Generalized Schur Algorithm. NAA 2000: 560-567
1990 – 1999
- 1999
- [c7]Wouter Favoreel, Sabine Van Huffel, Bart De Moor, Vasile Sima, Michel Verhaegen:
Comparative study between three subspace identification algorithms. ECC 1999: 821-826 - 1998
- [c6]Philippe Lemmerling, Ioannis Dologlou, Sabine Van Huffel:
Speech compression based on exact modeling and structured total least norm optimization. ICASSP 1998: 353-356 - 1997
- [j14]Hua Chen, Sabine Van Huffel, Ad van den Boom, Paul van den Bosch:
Subspace-based parameter estimation of exponentially damped sinusoids using prior knowledge of frequency and phase. Signal Process. 59(1): 129-136 (1997) - [j13]Ioannis Dologlou, Sabine Van Huffel, Dirk van Ormondt:
Improved signal enhancement procedures applied to exponential data modeling. IEEE Trans. Signal Process. 45(3): 799-803 (1997) - [j12]Hua Chen, Sabine Van Huffel, Joos Vandewalle:
Improved methods for exponential parameter estimation in the presence of known poles and noise. IEEE Trans. Signal Process. 45(5): 1390-1393 (1997) - 1996
- [j11]Hua Chen, Sabine Van Huffel, Joos Vandewalle:
Bandpass prefiltering for exponential data fitting with known frequency region of interest. Signal Process. 48(2): 135-154 (1996) - [j10]Sabine Van Huffel:
Comment on "Estimating the parameters of exponentially damped/undamped sinusoids in noise: A non-iterative approach, by Debasis Kundu and Amit Mitra". Signal Process. 51(1): 77-78 (1996) - [j9]Sabine Van Huffel, Haesun Park, J. Ben Rosen:
Formulation and solution of structured total least norm problems for parameter estimation. IEEE Trans. Signal Process. 44(10): 2464-2474 (1996) - [j8]Philippe Lemmerling, Bart De Moor, Sabine Van Huffel:
On the equivalence of constrained total least squares and structured total least squares. IEEE Trans. Signal Process. 44(11): 2908-2911 (1996) - [c5]Hua Chen, Sabine Van Huffel, Dirk van Ormondt:
Application of the structured total least norm technique in spectral estimation. EUSIPCO 1996: 1-4 - [c4]Philippe Lemmerling, Sabine Van Huffel, Bart De Moor:
Structured total least squares methods in signal processing. EUSIPCO 1996: 1-4 - [c3]Leentje Vanhamme, Aad van den Boogaart, Sabine Van Huffel:
Fast and accurate parameter estimation of noisy complex exponentials with use of prior knowledge. EUSIPCO 1996: 1-4 - [c2]Hua Chen, Sabine Van Huffel, Joos Vandewalle:
State-space based approximation methods for the harmonic retrieval problem in the presence of known signal poles. ICASSP 1996: 2924-2927 - 1995
- [j7]Sabine Van Huffel, Haesun Park:
Efficient reduction algorithms for bordered band matrices. Numer. Linear Algebra Appl. 2(2): 95-113 (1995) - 1994
- [j6]Sabine Van Huffel, Haesun Park:
Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Parallel Comput. 20(8): 1107-1128 (1994) - [c1]Haesun Park, Sabine Van Huffel, Lars Eldén:
Fast algorithms for exponential data modeling. ICASSP (4) 1994: 25-28 - 1993
- [j5]Sabine Van Huffel, Hongyuan Zha:
An efficient Total Least Squares algorithm based on a rank-revealing two-sided orthogonal decomposition. Numer. Algorithms 4(1): 101-133 (1993) - [j4]Sabine Van Huffel:
Enhanced resolution based on minimum variance estimation and exponential data modeling. Signal Process. 33(3): 333-355 (1993) - [p1]Sabine Van Huffel, Hongyuan Zha:
10 The total least squares problem. Computational Statistics 1993: 377-408 - 1992
- [j3]Sabine Van Huffel:
On the Significance of Nongeneric Total Least Squares Problems. SIAM J. Matrix Anal. Appl. 13(1): 20-35 (1992) - [j2]Petre Stoica, Torsten Söderström, Sabine Van Huffel:
On SVD-based and TLS-based high-order Yule-Walker methods of frequency estimation. Signal Process. 29(3): 309-317 (1992) - 1991
- [b1]Sabine Van Huffel, Joos Vandewalle:
Total least squares problem - computational aspects and analysis. Frontiers in applied mathematics 9, SIAM 1991, ISBN 978-0-89871-275-9, pp. I-XIII, 1-300
1980 – 1989
- 1989
- [j1]Sabine Van Huffel, Joos Vandewalle:
On the accuracy of total least squares and least squares techniques in the presence of errors on all data. Autom. 25(5): 765-769 (1989)
Coauthor Index
[j148] [j147] [j146] [j144] [j143] [j141] [j140] [j139] [c174] [c173] [j137] [j136] [c170] [c169] [c168] [c167] [c166] [c165] [j132] [j128] [j127] [j124] [j122] [j121] [c163] [c162] [c161] [c160] [c158] [c157] [c155] [c154] [j120] [j115] [c150] [c148] [c147] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [j108] [c137] [c135] [c134] [c133] [c131] [c130] [c129] [c119] [c117] [j93] [c104] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c81] [c71] [c69] [c66] [j77] [c52]
[j150] [j142] [j130] [j114] [j109] [c126] [j100] [c115] [j97] [j95] [c106] [c100] [c99] [c97] [c94] [c93] [c92] [i5] [j91] [j90] [j89] [j88] [c82] [c76] [c74] [j83] [j81] [c72] [c67] [c65] [c64] [c60] [i4] [i2] [j79] [j78] [c54] [c53] [c47] [i1] [j71] [j68] [c46] [c41] [c40] [c39] [j66] [j65] [j64] [j63] [c29] [j55] [j49] [c27]
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