activity
20202026
most citedDeconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2026

Block-Term Decomposition Approach to Blind Multi-trial Functional Ultrasound Unmixing

Sofia-Eirini Kotti, Eleftherios Kofidis, Borbála Hunyadi

Functional ultrasound (fUS) has emerged as a powerful neuroimaging modality due to its high resolution in both space and time, low cost and potential portability. Nevertheless, fUS…

cs.LG2025

Adapting Tensor Kernel Machines to Enable Efficient Transfer Learning for Seizure Detection

Seline J. S. de Rooij, Borbála Hunyadi

Transfer learning aims to optimize performance in a target task by learning from a related source problem. In this work, we propose an efficient transfer learning method using a te…

eess.SP2024

Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine

Seline J. S. de Rooij, Frederiek Wesel, Borbála Hunyadi

Recent developments in wearable devices have made accurate and efficient seizure detection more important than ever. A challenge in seizure detection is that patient-specific model…

eess.SP2023

A Singular-value-based Marker for the Detection of Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG

Hanie Moghaddasi, Richard C. Hendriks, Borbala Hunyadi +4

The severity of atrial fibrillation (AF) can be assessed from intra-operative epicardial measurements (high-resolution electrograms), using metrics such as conduction block (CB) an…

eess.SP2022★ 1 cited

Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition

Aybuke Erol, Chagajeg Soloukey, Bastian Generowicz +4

Functional ultrasound (fUS) indirectly measures brain activity by recording changes in cerebral blood volume and flow in response to neural activation. Conventional approaches mode…

eess.SP2020

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data

Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn +4

EEG-correlated fMRI analysis is widely used to detect regional blood oxygen level dependent fluctuations that are significantly synchronized to interictal epileptic discharges, whi…