Výsledky vyhledávání

Report

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression

Autor: Bintsi, Kyriaki-Margarita, Mueller, Tamara T., Starck, Sophie, Baltatzis, Vasileios, Hammers, Alexander, Rueckert, Daniel

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 crucial in clinical settings. One way to incorporate multimodal information

Externí odkaz: http://arxiv.org/abs/2309.14816

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Report

Multimodal brain age estimation using interpretable adaptive population-graph learning

Autor: Bintsi, Kyriaki-Margarita, Baltatzis, Vasileios, Potamias, Rolandos Alexandros, Hammers, Alexander, Rueckert, Daniel

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 include multimodal imaging information of the subjects along with the relat

Externí odkaz: http://arxiv.org/abs/2307.04639

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Brain PET-MR attenuation correction with deep learning: method validation in adult and clinical paediatric data

Autor: Yaakub, Siti N., McGinnity, Colm J., Kerfoot, Eric, Mérida, Ines, Beck, Katherine, Dunston, Eric, Muffoletto, Marica, Bhattacharya, Suryava, Qureshi, Ahmed, Dunn, Joel, MacKewn, Jane, Hammers, Alexander

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 AC methods to capture inter-individual variability and skull abnormalit

Externí odkaz: http://arxiv.org/abs/2212.01294

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Report

Pseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: an open-source tool

Autor: Yaakub, Siti Nurbaya, White, Tristan A., Kerfoot, Eric, Verhagen, Lennart, Hammers, Alexander, Fouragnan, Elsa F.

Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and thermal safety in low-intensity transcranial ultrasound stimulation (TUS) s

Externí odkaz: http://arxiv.org/abs/2209.12031

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Akademický článek

Effects of risk factors on the development and mortality of early- and late-onset dementia: an 11-year longitudinal nationwide population-based cohort study in South Korea

Autor: Min Young Chun, Wonjeong Chae, Sang Won Seo, Hyemin Jang, Jihwan Yun, Duk L. Na, Dongwoo Kang, Jungkuk Lee, Dustin B. Hammers, Liana G. Apostolova, Sung-In Jang, Hee Jin Kim

Publikováno v: Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-11 (2024)

Abstract Background Early-onset dementia (EOD, onset age

Externí odkaz: https://doaj.org/article/15a1bbc55f46489bba78a4e7028d4552

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Report

A Study of Demographic Bias in CNN-based Brain MR Segmentation

Autor: Ioannou, Stefanos, Chockler, Hana, Hammers, Alexander, King, Andrew P.

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 applications, CNN models have been shown to exhibit bias against certai

Externí odkaz: http://arxiv.org/abs/2208.06613

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