Borbala Hunyadi

Assistant Professor

Delft University of Technology

Netherlands

Research Interests

Explore related searches

Professors in Netherlands Professors in Neuroscience Neuroscience professors in Netherlands

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Borbala Hunyadi is an Assistant Professor at Delft University of Technology in the Netherlands. Her research areas focus on advanced signal processing techniques in medical imaging and electrocardiography, as evidenced by her recent articles on topics such as ultrasound signal analysis, Alzheimer's disease prediction, and atrial fibrillation classification. She employs innovative methodologies including low-rank tensor decomposition and GLM-regularization to enhance diagnostic capabilities in clinical settings.

Articles (13)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (8)

Mathijs van Schie

Delft University of Technology

NETHERLANDS

View details

Jonathan Dan

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

View details

Alle-Jan van der Veen

Delft University of Technology

NETHERLANDS

View details

Daniëlle Copmans

Assistant professor

KU Leuven

BELGIUM

View details

Matthias Dümpelmann

GERMANY

View details

Massimo Mischi

Professor at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

View details

Richard Christian Hendriks

Delft University of Technology

NETHERLANDS

View details

Hanie Moghaddasi

University of Oxford

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Borbala Hunyadi

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Speckle Denoising of Dynamic Contrast- Enhanced Ultrasound Using Low-Rank Tensor Decomposition

Constrained Cramér-Rao Bound for Higher-Order Singular Value Decomposition

Evoked Component Analysis (ECA): Decomposing the Functional Ultrasound Signal With GLM-Regularization

Tensor Completion for Alzheimer's Disease Prediction From Diffusion Tensor Imaging

A Singular-value-based Map to Highlight Abnormal Regions Associated with Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG

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

Erratum: Correction to: Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition (Neuroinformatics (2023) 21 2 (247-265))

Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings

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

The power of ECG in multimodal patient-specific seizure monitoring: Added value to an EEG-based detector using limited channels

Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning

Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels

Zebrafish-Based Screening of Antiseizure Plants Used in Traditional Chinese Medicine: Magnolia officinalis Extract and Its Constituents Magnolol and Honokiol Exhibit Potent Anticonvulsant Activity in a Therapy-Resistant Epilepsy Model

Collaborators (8)

Mathijs van Schie

Jonathan Dan

Alle-Jan van der Veen

Daniëlle Copmans

Matthias Dümpelmann

Massimo Mischi

Richard Christian Hendriks

Hanie Moghaddasi

Make your next move.