Brain age prediction based on convolutional neural networks trained on T1 weighted MRI volumes

Bibliographic Details
Main Author:	Kemenczky Péter
Other Authors:	Vakli Pál Horváth András
Format:	Manuscript essay
Published:	2015-05-19
Online Access:	https://diplomamunka.ppke.hu/8137

Similar Items

Practical brain age prediction investigating transfer learning and sensitivity to motion artifacts in a deep convolutional neural network /
by: Rozmann Dorina
Published: (2021)

Trained neural network on electromyographic data for the control of cranking movements
by: Radeleczki Balázs
Published: (2021)

Saliency-based Brain Tumor Segmentation in MRI data
by: Takács Petra
Published: (2019)

Optimizing Transformer-based Neural Networks for Enhanced Ab Initio Gene Prediction in ESKAPE Pathogens
by: Ortiz Nicole
Published: (2024)

Applying neural network based algorithms in communication technology
by: Tisza Dávid
Published: (2019)

Application of Transformer-based Neural Networks in Multiomics Studies
by: Szepesi Nagy István
Published: (2024)

Resilience of place cell networks to in vivo-like weight perturbations
by: Csapó Bence
Published: (2024)

Smart Wearable Sensor Technology for Weight Prediction through Muscle Activity Analysis
by: Kiss Márkus Tamás
Published: (2024)

Proteostasis collapse, a hallmark of aging, hinders the chaperone-Start network and arrests cells in G1
by: Moreno David F., et al.
Published: (2019)

Processing echocardiogram images with neural network
by: Soós András László
Published: (2022)

Preventing Overconfident Responses in Neural Networks
by: Bódis Viktor
Published: (2014)

Automatic liver segmentation on CT images combining region-based techniques and convolutional features
by: Czipczer Vanda
Published: (2015)

fMRI felvételek osztályozása konvolúciós neurális hálók segítségével
by: Kemenczky Péter
Published: (2018)

Applications of Cellular Neural/Nonlinear Networks in Physics
by: Ercsey-Ravasz Mária-Magdolna
Published: (2008)

Classification performance improvements for deep neural networks
by: Halász András Pál
Published: (2015)

Study of artificial neural network pruning strategies
by: Belánszki Tibor
Published: (2023)

Evaluation of pruning methods for artificial neural networks
by: Borcsiczky Judit
Published: (2023)

Development of neural networks for heart slice segmentation
by: Rácz Adrienn
Published: (2025)

Link prediction in protein-protein interaction networks using graph embedding-based topological information and a generative adversarial network machine learning model
by: Balogh Olivér Márton
Published: (2022)

Modular analysis of brain and free word association networks
by: File Bálint
Published: (2020)

Studying the dynamics of a neural network model of the hippocampus
by: Steinbach-Németh Orsolya
Published: (2014)

Comparison of bio-inspired neural networks for continual learning
by: Joós András György
Published: (2023)

EEG Signal Classification with neural networks for BMI Applications
by: Kutasi Balázs
Published: (2023)

Development of an electrocorticography-based brain computer interface
by: Ungvárszki Zsombor Ábris
Published: (2022)

Fast banknote recognition on image flows with deep neural networks
by: Anley Zelalem Birhan
Published: (2016)

Exploitation, detection and prevention of Adversarial Attacks on Deep Neural Networks
by: Kontár Soma Gábor
Published: (2015)

Artificial bone scintigraphy image generation using neural networks
by: Prajczer Péter
Published: (2022)

Study of pruning strategies and its effectiveness in artificial neural networks
by: Dulovits Árpád
Published: (2023)

Classification of motor imagery EEG signals using neural networks
by: Nagy Nikoletta
Published: (2024)

VF (ventricular fibrillation) prediction based on ion recordings in the myocardium
by: Szilágyi Tünde
Published: (2006)

Cooperative control of two robotic arms with separate deep neural networks
by: Tihanyi Kinga
Published: (2016)

Trichinella spiralis parasite detection in microfluidic systems using neural networks
by: Kufcsák Péter
Published: (2021)

Visualization and Interpretation of Artificial Neural Networks for the Analysis of Cardiac Ultrasound Recordings
by: Szigeti Mark Bence
Published: (2022)

Meta and few-shot learning for microbiome based predictive disease classification
by: Molnár Zsófia
Published: (2023)

Driver profile clustering on handcrafted feature set using artificial neural networks
by: Bogdány Péter
Published: (2012)

Training of CNN model for classifying radiological scans
by: Tóth Miklós
Published: (2019)

Optimization of classification techniques in small training set situations
by: Csutak Dávid
Published: (2024)

In vitro and in vivo validation of modular polymer-based flexible neural probes
by: Pásztor Boldizsár
Published: (2024)

Meta-Learning for Domain Generalization with Style-based Parameter Prediction in Biomedical Image Segmentation
by: Uzolas Lukas
Published: (2021)

Gesture prediction by machine learning methods on the basis of ultrasound-based muscle activity measurement
by: Daoud Mária Lujza
Published: (2014)