353 citations · 426 across the 8 of their papers we have counts for
10 papers
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck +3
The difference between the chronological and biological brain age of a subject can be an important biomarker for neurodegenerative diseases, thus brain age estimation can be crucia…
Multimodal brain age estimation using interpretable adaptive population-graph learning
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias +2
Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which inclu…
Brain PET-MR attenuation correction with deep learning: method validation in adult and clinical paediatric data
Siti N. Yaakub, Colm J. McGinnity, Eric Kerfoot +9
Current methods for magnetic resonance-based positron emission tomography attenuation correction (PET-MR AC) are time consuming, and less able than computed tomography (CT)-based A…
Pseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: an open-source tool
Siti Nurbaya Yaakub, Tristan A. White, Eric Kerfoot +3
Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and therm…
A Study of Demographic Bias in CNN-based Brain MR Segmentation
Stefanos Ioannou, Hana Chockler, Alexander Hammers +1
Convolutional neural networks (CNNs) are increasingly being used to automate the segmentation of brain structures in magnetic resonance (MR) images for research studies. In other a…
Voxel-level Importance Maps for Interpretable Brain Age Estimation
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers +1
Brain aging, and more specifically the difference between the chronological and the biological age of a person, may be a promising biomarker for identifying neurodegenerative disea…