Automatic Seizure Detection Incorporating Structural Information. - Borbála Hunyadi; Maarten De Vos; Marco Signoretto; Johan A. K. Suykens; Wim Van Paesschen; Sabine Van Huffel (ICANN (1), 2011)

ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. - Borbála Hunyadi; Bogdan Mijovic; Simon Tousseyn; Patrick Dupont; Wim Van Paesschen; Sabine Van Huffel; Maarten De Vos (PRNI, 2012)

Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task. - Bogdan Mijovic; Bart Machilsen; Borbála Hunyadi; Maarten De Vos; Johan Wagemans; Sabine Van Huffel (EMBC, 2013)

The quest for single trial correlations in multimodal EEG-fMRI data. - Maarten De Vos; Rob Zink; Borbála Hunyadi; Bogdan Mijovic; Sabine Van Huffel; Stefan Debener (EMBC, 2013)

Developing engineering-oriented educational workshops within a student branch. - 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; et al. (EUROCON, 2013)

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. - Borbála Hunyadi; Marco Signoretto; Stefan Debener; Sabine Van Huffel; Maarten De Vos (PRNI, 2013)

Automatic selection of epileptic independent fMRI components. - Borbála Hunyadi; Simon Tousseyn; Patrick Dupont; Sabine Van Huffel; Wim Van Paesschen; Maarten De Vos (EMBC, 2014)

Incorporating higher dimensionality in joint decomposition of EEG and fMRI. - Wout Swinnen; Borbála Hunyadi; Evrim Acar; Sabine Van Huffel; Maarten De Vos (EUSIPCO, 2014)

Block term decomposition for modelling epileptic seizures. - Borbála Hunyadi; Daan Camps; Laurent Sorber; Wim Van Paesschen; Maarten De Vos; Sabine Van Huffel; Lieven De Lathauwer (EURASIP J. Adv. Signal Process., 2014)

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. - Lieven Billiet; Borbála Hunyadi; Vladimir Matic; Sabine Van Huffel; Michel Verleysen; Maarten De Vos (BIOSIGNALS, 2015)

Classifying the auditory P300 using mobile EEG recordings without calibration phase. - Rob Zink; Borbála Hunyadi; Sabine Van Huffel; Maarten De Vos (EMBC, 2015)

Exploring the epileptic network with parallel ICA of interictal EEG-FMRI. - Borbála Hunyadi; Maarten De Vos; Wim Van Paesschen; Sabine Van Huffel (EUSIPCO, 2015)

Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. - Rob Zink; Borbála Hunyadi; Sabine Van Huffel; Maarten De Vos (NER, 2015)

A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. - Borbála Hunyadi; Simon Tousseyn; Patrick Dupont; Sabine Van Huffel; Maarten De Vos; Wim Van Paesschen (NeuroImage, 2015)

Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity. - Borbála Hunyadi; Wim Van Paesschen; Maarten De Vos; Sabine Van Huffel (EUSIPCO, 2016)

Nonconvulsive epileptic seizures detection using multiway data analysis. - Yissel Rodriguez Aldana; Borbála Hunyadi; Enrique Juan Marañón Reyes; Valia Rodriguez Rodriguez; Sabine Van Huffel (EUSIPCO, 2017)

Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. - Simon Van Eyndhoven; Borbála Hunyadi; Lieven De Lathauwer; Sabine Van Huffel (EUSIPCO, 2017)

Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG. - Thomas De Cooman; Carolina Varon; Borbála Hunyadi; Wim Van Paesschen; Lieven Lagae; Sabine Van Huffel (Int. J. Neural Syst., 2017)

Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment. - Kaat Vandecasteele; Thomas De Cooman; Ying Gu; Evy Cleeren; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (Sensors, 2017)

Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data. - Borbála Hunyadi; Patrick Dupont; Wim Van Paesschen; Sabine Van Huffel (WIREs Data Mining Knowl. Discov., 2017)

Artifact Detection of Wrist Photoplethysmograph Signals. - Kaat Vandecasteele; Jesús Lázaro 002; Evy Cleeren; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (BIOSIGNALS, 2018)

Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. - Simon Van Eyndhoven; Martijn Bousse; Borbála Hunyadi; Lieven De Lathauwer; Sabine Van Huffel (MLSP, 2018)

Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. - Ying Gu; Evy Cleeren; Jonathan Dan; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (Sensors, 2018)

Nonconvulsive epileptic seizure monitoring with incremental learning. - Yissel Rodriguez Aldana; Enrique Juan Marañón Reyes; Frank Sanabria-Macias; Valia Rodriguez Rodriguez; Lilia Morales Chacón; Sabine Van Huffel; Borbála Hunyadi (Comput. Biol. Medicine, 2019)

A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. - Borbála Hunyadi; Mark W. Woolrich; Andrew J. Quinn 003; Diego Vidaurre; Maarten De Vos (NeuroImage, 2019)

Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis. - Yissel Rodriguez Aldana; Borbála Hunyadi; Enrique Juan Marañón Reyes; Valia Rodriguez Rodriguez; Sabine Van Huffel (IEEE J. Biomed. Health Informatics, 2019)

Joint Estimation of Hemodynamic Response and Stimulus Function in Functional Ultrasound Using Convolutive Mixtures. - Aybüke Erol; Simon Van Eyndhoven; Sebastiaan K. E. Koekkoek; Pieter Kruizinga; Borbála Hunyadi (ACSSC, 2020)

Tensor-based Detection of Paroxysmal and Persistent Atrial Fibrillation from Multi-channel ECG. - Hanie Moghaddasi; Alle-Jan van der Veen; Natasja M. S. de Groot; Borbála Hunyadi (EUSIPCO, 2020)

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. - Simon Van Eyndhoven; Patrick Dupont; Simon Tousseyn; Nico Vervliet; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (NeuroImage, 2021)

Denoising of Dynamic Contrast-enhanced Ultrasound Sequences: A Multilinear Approach. - Metin Calis; Massimo Mischi; Alle-Jan van der Veen; Borbála Hunyadi (BIOSIGNALS, 2022)

Novel Rank-based Features of Atrial Potentials for the Classification Between Paroxysmal and Persistent Atrial Fibrillation. - Hanie Moghaddasi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot; Borbála Hunyadi (CinC, 2022)

Multiparametric ultrasound and machine learning for prostate cancer localization. - Peiran Chen; Metin Calis; Hessel Wijkstra; Pintong Huang; Borbála Hunyadi; Massimo Mischi (EUSIPCO, 2022)

Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings. - Hanie Moghaddasi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot; Borbála Hunyadi (Comput. Biol. Medicine, 2022)

Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data Using ICA and IVA. - Isabell Lehmann; Tülay Adali; Pieter Kruizinga; Borbála Hunyadi (ACSSC, 2023)

GLM-Regularized Low-Rank Factorization For Extracting Functional Response From Swept-3D Functional Ultrasound. - Aybüke Erol; Bastian Generowicz; Pieter Kruizinga; Borbála Hunyadi (ICASSP Workshops, 2023)

Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. - Sofia-Eirini Kotti; Aybüke Erol; Borbála Hunyadi (ICASSP Workshops, 2023)

Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM. - Seline J. S. de Rooij; Kim Batselier; Borbála Hunyadi (ICASSP Workshops, 2023)

Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. - Ruben Wijnands; Justin Dauwels; Ines Serra; Pieter Kruizinga; Aleksandra Badura; Borbála Hunyadi (ICASSP Workshops, 2023)

Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. - Aybüke Erol; Chagajeg Soloukey; Bastian Generowicz; Nikki van Dorp; Sebastiaan K. E. Koekkoek; Pieter Kruizinga; Borbála Hunyadi (Neuroinformatics, 2023)

Correction to: Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. - Aybüke Erol; Chagajeg Soloukey; Bastian Generowicz; Nikki van Dorp; Sebastiaan K. E. Koekkoek; Pieter Kruizinga; Borbála Hunyadi (Neuroinformatics, 2023)

Denoising of the Speckle Noise by Robust Low-rank Tensor Decomposition. - Metin Calis; Borbála Hunyadi (EUSIPCO, 2024)

Extracting Hemodynamic Activity with Low-Rank Spatial Signatures in Functional Ultrasound Using Tensor Decompositions. - Sofia-Eirini Kotti; Borbála Hunyadi (EUSIPCO, 2024)

Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine. - Seline J. S. de Rooij; Frederiek Wesel; Borbála Hunyadi (EUSIPCO, 2024)

Blind Identification of Overlapping Communities from Nodal Observations. - Ruben Wijnands; Geert Leus; Borbála Hunyadi (EUSIPCO, 2024)

Tensor Decomposition-Based Data Fusion for Biomarker Extraction from Multiple EEG Experiments. - K. R. Stunnenberg; Richard C. Hendriks; J. L. Vroegop; M. L. Adank; Borbála Hunyadi (ICASSP, 2024)

Analyzing Trial-to-Trial Variability in the Mouse Visual Pathway Using Functional Ultrasound. - Aybüke Erol; Pieter Kruizinga; Borbála Hunyadi (ISBI, 2024)

Tensor Completion for Alzheimer's Disease Prediction From Diffusion Tensor Imaging. - Yixin Gou; Yipeng Liu 001; Fei He; Borbála Hunyadi; Ce Zhu (IEEE Trans. Biomed. Eng., 2024)

Evoked Component Analysis (ECA): Decomposing the Functional Ultrasound Signal With GLM-Regularization. - Aybüke Erol; Bastian Generowicz; Pieter Kruizinga; Borbála Hunyadi (IEEE Trans. Biomed. Eng., 2024)

A Singular-Value-Based Map to Highlight Abnormal Regions Associated With Atrial Fibrillation Using High-Resolution Electrograms and Multi-Lead ECG. - Hanie Moghaddasi; Richard C. Hendriks; Borbála Hunyadi; Paul Knops; Mathijs S. van Schie; Natasja M. S. de Groot; Alle-Jan van der Veen (IEEE Trans. Biomed. Eng., 2024)

Speckle Denoising of Dynamic Contrast- Enhanced Ultrasound Using Low-Rank Tensor Decomposition. - Metin Calis; Massimo Mischi; Alle-Jan van der Veen; Borbála Hunyadi (IEEE Trans. Medical Imaging, 2025)