9 citations · 10 across the 4 of their papers we have counts for
4 papers
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
Dániel Unyi, Bálint Gyires-Tóth
A major challenge in medical image analysis is the automated detection of biomarkers from neuroimaging data. Traditional approaches, often based on image registration, are limited…
Self-Supervised Pretraining for 2D Medical Image Segmentation
András Kalapos, Bálint Gyires-Tóth
Supervised machine learning provides state-of-the-art solutions to a wide range of computer vision problems. However, the need for copious labelled training data limits the capabil…
Improving Self-Supervised Learning-based MOS Prediction Networks
Bálint Gyires-Tóth, Csaba Zainkó
MOS (Mean Opinion Score) is a subjective method used for the evaluation of a system's quality. Telecommunications (for voice and video), and speech synthesis systems (for generated…
Reconstructing nodal pressures in water distribution systems with graph neural networks
Gergely Hajgató, Bálint Gyires-Tóth, György Paál
Knowing the pressure at all times in each node of a water distribution system (WDS) facilitates safe and efficient operation. Yet, complete measurement data cannot be collected due…