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2020 – today
- 2024
[j16]Yixin Gou
, Yipeng Liu, Fei He, Borbála Hunyadi, Ce Zhu:
Tensor Completion for Alzheimer's Disease Prediction From Diffusion Tensor Imaging. IEEE Trans. Biomed. Eng. 71(7): 2211-2223 (2024)- [j15]Aybüke Erol, Bastian Generowicz, Pieter Kruizinga, Borbála Hunyadi:
Evoked Component Analysis (ECA): Decomposing the Functional Ultrasound Signal With GLM-Regularization. IEEE Trans. Biomed. Eng. 71(10): 2823-2832 (2024) - [j14]Hanie Moghaddasi, Richard C. Hendriks, Borbála Hunyadi, Paul Knops, Mathijs S. van Schie, Natasja M. S. de Groot, Alle-Jan van der Veen:
A Singular-Value-Based Map to Highlight Abnormal Regions Associated With Atrial Fibrillation Using High-Resolution Electrograms and Multi-Lead ECG. IEEE Trans. Biomed. Eng. 71(11): 3324-3336 (2024) - [c33]Ruben Wijnands, Geert Leus, Borbála Hunyadi:
Blind Identification of Overlapping Communities from Nodal Observations. EUSIPCO 2024: 812-816 - [c32]Metin Calis, Borbála Hunyadi:
Denoising of the Speckle Noise by Robust Low-rank Tensor Decomposition. EUSIPCO 2024: 1157-1161 - [c31]Sofia-Eirini Kotti, Borbála Hunyadi:
Extracting Hemodynamic Activity with Low-Rank Spatial Signatures in Functional Ultrasound Using Tensor Decompositions. EUSIPCO 2024: 1347-1351 - [c30]Seline J. S. de Rooij, Frederiek Wesel, Borbála Hunyadi:
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine. EUSIPCO 2024: 1372-1376 - [c29]K. R. Stunnenberg, Richard C. Hendriks, J. L. Vroegop, M. L. Adank, Borbála Hunyadi:
Tensor Decomposition-Based Data Fusion for Biomarker Extraction from Multiple EEG Experiments. ICASSP 2024: 13146-13150 - [c28]Aybüke Erol, Pieter Kruizinga, Borbála Hunyadi:
Analyzing Trial-to-Trial Variability in the Mouse Visual Pathway Using Functional Ultrasound. ISBI 2024: 1-5 - [i2]Seline J. S. de Rooij, Frederiek Wesel, Borbála Hunyadi:
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine. CoRR abs/2408.00437 (2024) - 2023
- [j13]Aybüke Erol, Chagajeg Soloukey, Bastian Generowicz, Nikki van Dorp, Sebastiaan Koekkoek, Pieter Kruizinga, Borbála Hunyadi:
Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. Neuroinformatics 21(2): 247-265 (2023) - [j12]Aybüke Erol, Chagajeg Soloukey, Bastian Generowicz, Nikki van Dorp, Sebastiaan Koekkoek, Pieter Kruizinga, Borbála Hunyadi:
Correction to: Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition. Neuroinformatics 21(2): 267 (2023) - [c27]Isabell Lehmann, Tülay Adali, Pieter Kruizinga, Borbála Hunyadi:
Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data Using ICA and IVA. ACSSC 2023: 1484-1490 - [c26]Aybüke Erol, Bastian Generowicz, Pieter Kruizinga, Borbála Hunyadi:
GLM-Regularized Low-Rank Factorization For Extracting Functional Response From Swept-3D Functional Ultrasound. ICASSP Workshops 2023: 1-5 - [c25]Sofia-Eirini Kotti, Aybüke Erol, Borbála Hunyadi:
Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. ICASSP Workshops 2023: 1-5 - [c24]Seline J. S. de Rooij, Kim Batselier, Borbála Hunyadi:
Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM. ICASSP Workshops 2023: 1-5 - [c23]Ruben Wijnands, Justin Dauwels, Ines Serra, Pieter Kruizinga, Aleksandra Badura, Borbála Hunyadi:
Modeling and Inference of Sparse Neural Dynamic Functional Connectivity Networks Underlying Functional Ultrasound Data. ICASSP Workshops 2023: 1-5 - 2022
- [j11]Hanie Moghaddasi, Richard C. Hendriks, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings. Comput. Biol. Medicine 143: 105270 (2022) - [c22]Metin Calis, Massimo Mischi, Alle-Jan van der Veen, Borbála Hunyadi:
Denoising of Dynamic Contrast-enhanced Ultrasound Sequences: A Multilinear Approach. BIOSIGNALS 2022: 192-199 - [c21]Hanie Moghaddasi, Richard C. Hendriks, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Novel Rank-based Features of Atrial Potentials for the Classification Between Paroxysmal and Persistent Atrial Fibrillation. CinC 2022: 1-4 - [c20]Peiran Chen, Metin Calis, Hessel Wijkstra, Pintong Huang, Borbála Hunyadi, Massimo Mischi:
Multiparametric ultrasound and machine learning for prostate cancer localization. EUSIPCO 2022: 907-911 - 2021
- [j10]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) - 2020
- [c19]Aybüke Erol, Simon Van Eyndhoven, Sebastiaan Koekkoek, Pieter Kruizinga, Borbála Hunyadi:
Joint Estimation of Hemodynamic Response and Stimulus Function in Functional Ultrasound Using Convolutive Mixtures. ACSSC 2020: 246-250 - [c18]Hanie Moghaddasi, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Tensor-based Detection of Paroxysmal and Persistent Atrial Fibrillation from Multi-channel ECG. EUSIPCO 2020: 1155-1159 - [i1]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)
2010 – 2019
- 2019
- [j9]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) - [j8]Borbála Hunyadi, Mark W. Woolrich, Andrew J. Quinn, Diego Vidaurre, Maarten De Vos:
A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. NeuroImage 185: 72-82 (2019) - [j7]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) - 2018
- [j6]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) - [c17]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 - [c16]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
- [j5]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) - [j4]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) - [j3]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) - [c15]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 - [c14]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 - 2016
- [c13]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 - 2015
- [j2]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) - [c12]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 - [c11]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 - [c10]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 - [c9]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 - 2014
- [j1]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) - [c8]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 - [c7]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 - 2013
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - 2012
- [c2]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 - 2011
- [c1]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
Coauthor Index
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last updated on 2025-01-09 13:14 CET by the dblp team
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