A fully automatic procedure for brain tumor segmentation from multi-spectral MRI records using ensemble learning and atlas-based data enhancement

Á Győrfi, L Szilágyi, L Kovács - Applied Sciences, 2021 - mdpi.com
The accurate and reliable segmentation of gliomas from magnetic resonance image (MRI)
data has an important role in diagnosis, intervention planning, and monitoring the tumor's …

[PDF][PDF] Further Evolution of Mortality Prediction with Ensemble-based Models on Hungarian Myocardial Infarction Registry

P Piros, R Fleiner, A Jánosi… - Acta Polytechnica …, 2023 - acta.uni-obuda.hu
In the current study, we present a new approach to predict 30-day and 1-year mortality of
patients hospitalized with acute myocardial infarction. The dataset of this research is …

[PDF][PDF] Cognitive information systems and related architecture issues

D Mattyasovszky-Philipp, B Molnár - Acta Polytechnica Hungarica, 2023 - researchgate.net
The rapid developments in information technology and business, must drive the progress of
Cognitive Information Systems (CIS). There are some studies on the generic model of CIS …

Cognitive resonance and the architecture issues of cognitive information systems

B Molnár, D Mattyasovszky-Philipp - Accentuated Innovations in Cognitive …, 2022 - Springer
The high-speed and constants changes in information technology and business needs to
drive the development and evolution of Cognitive Information Systems (CIS). There are …

Relationship between education 4.0 and cognitive infocommunications

A Kovari, J Katona, I Heldal, R Demeter… - 2020 11th IEEE …, 2020 - ieeexplore.ieee.org
Due to the development of digital tools in the information society, all arenas of society are
constantly changing, including the process and methods of education and learning. Both …

Multiple Sclerosis Detection via Machine Learning Algorithm, Accurate Simulated Database 3D MRI to 2D Images, using value of Binary Pattern Classification-A Case …

M Moghadasi, G Fazekas - 2019 10th IEEE International …, 2019 - ieeexplore.ieee.org
This paper is aiming to review some machine learning tools and to see if support vector
machines (SVM) are accurate in 3D MRI images. We intend to show that 3D images can be …

[PDF][PDF] Improving Mortality Prediction with Machine Learning Models

P Piros - 2023 - oda.uni-obuda.hu
Nowadays, we encounter new fields of application of artificial intelligence every day, ranging
from chatbots that give sophisticated, more human-like responses than ever before, to …

Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on converting 3D to 2D MRI images

M Moghadasi, G Fazekas - Infocommunications Journal, 2020 - real.mtak.hu
In the twenty first century, there have been various scientific discoveries which have helped
in addressing some of the fundamental health issues. Specifically, the discovery of …

[PDF][PDF] Improving Mortality Predic on with Machine Learning Models

L Kovács, R Fleiner - lib.uni-obuda.hu
Nowadays, we encounter new fields of application of artificial intelligence every day, ranging
from chatbots that give sophisticated, more human-like responses than ever before, to …

Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on Converting 3D to 2D MRI Images by Using Value of Binary Pattern Classification and …

M Mohammad - 2021 - search.proquest.com
In the twenty first century, there have been various scientific discoveries which have helped
in addressing some of the fundamental health issues. Specifically, the discovery of …