Deep learning approaches to multimodal MRI brain age estimation

Deep learning approaches to multimodal MRI brain age estimation

<p>Brain ageing remains an intricate, multifaceted process, marked not just by chronological time but by a myriad of structural, functional, and microstructural changes that often lead to discrepancies between actual age and the age inferred from neuroimaging. Machine learning methods, and esp...

Полное описание

Библиографические подробности
Главный автор:	Roibu, A-C
Другие авторы:	Griffanti, L
Формат:	Диссертация
Язык:	English
Опубликовано:	2023
Предметы:	AI Neuroscience Neuroimaging Deep learning (machine learning)

Схожие документы

Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
по: Yutong Wu, и др.
Опубликовано: (2024-08-01)

Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review
по: D. Matuliauskas, и др.
Опубликовано: (2023-10-01)

Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework
по: Chen-Yuan Kuo, и др.
Опубликовано: (2021-03-01)

Investigating the role of inhibition in human motor learning
по: Grigoras, IF
Опубликовано: (2022)

Artificial intelligence for diffusion MRI-based tissue microstructure estimation in the human brain: an overview
по: Abrar Faiyaz, и др.
Опубликовано: (2023-04-01)

A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer’s disease
по: Xinyang Feng, и др.
Опубликовано: (2022-03-01)

Benchmarking explanation methods for mental state decoding with deep learning models
по: Armin W. Thomas, и др.
Опубликовано: (2023-06-01)

Editorial: Deep learning in neuroimaging-based neurological disease analysis
по: Xiaoxiao Li, и др.
Опубликовано: (2023-01-01)

Developing neuroimaging biomarkers for neurodegeneration and ageing using machine learning methods
по: Arya, Z
Опубликовано: (2019)

Increased MRI-based Brain Age in chronic migraine patients
по: Rafael Navarro-González, и др.
Опубликовано: (2023-10-01)

DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
по: Adam Hakim, и др.
Опубликовано: (2023-06-01)

Deep neural network heatmaps capture Alzheimer’s disease patterns reported in a large meta-analysis of neuroimaging studies
по: Di Wang, и др.
Опубликовано: (2023-04-01)

Editorial: Machine and deep-learning for computational neuroscience
по: Gaurav Dhiman, и др.
Опубликовано: (2023-07-01)

Neuroimaging data repositories and AI-driven healthcare—Global aspirations vs. ethical considerations in machine learning models of neurological disease
по: Christine Lock, и др.
Опубликовано: (2024-02-01)

Editorial: Machine Learning for Quantitative Neuroimaging Analysis
по: Yuankai Huo, и др.
Опубликовано: (2022-05-01)

A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder
по: Xuanyi Li, и др.
Опубликовано: (2023-11-01)

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
по: Constantinos Halkiopoulos, и др.
Опубликовано: (2025-02-01)

Investigating the functional organisation of human visual cortex using ultra-high resolution fMRI
по: Finnegan, S
Опубликовано: (2016)

MRI Analysis: Optimization of parameters for diffusion MRI to enhance hippocampal subfield analysis and segmentation (Preliminary Data)
по: P. Nwaubani, и др.
Опубликовано: (2022-06-01)

Low-Rank Tensor Fusion for Enhanced Deep Learning-Based Multimodal Brain Age Estimation
по: Xia Liu, и др.
Опубликовано: (2024-12-01)

Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
по: Sreevalsan S. Menon, и др.
Опубликовано: (2021-11-01)

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
по: Louis Fabrice Tshimanga, и др.
Опубликовано: (2023-04-01)

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
по: Parisa Moridian, и др.
Опубликовано: (2022-10-01)

Wildfire Danger Prediction and Understanding With Deep Learning
по: Spyros Kondylatos, и др.
Опубликовано: (2022-09-01)

Deep Learning Aided Neuroimaging and Brain Regulation
по: Mengze Xu, и др.
Опубликовано: (2023-05-01)

FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI
по: Leonie Henschel, и др.
Опубликовано: (2022-05-01)

Neuropedagogy and Neuroimaging of Artificial Intelligence and Deep Learning
по: Claudia De Barros Camargo , Antonio Hernández Fernández
Опубликовано: (2024-10-01)

Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI
по: Gazi Hasan Al Masud, и др.
Опубликовано: (2025-03-01)

Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches
по: Maha Gharaibeh, и др.
Опубликовано: (2021-12-01)

Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications
по: Ondrej Krejcar, и др.
Опубликовано: (2025-02-01)

A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance
по: Michael Tannous, и др.
Опубликовано: (2023-01-01)

Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data
по: Laura Tomaz Da Silva, и др.
Опубликовано: (2021-09-01)

Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery
по: Robert Vogel, и др.
Опубликовано: (2024-09-01)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
по: Angela Lombardi, и др.
Опубликовано: (2021-10-01)

Artificial intelligence role in advancement of human brain connectome studies
по: Dorsa Shekouh, и др.
Опубликовано: (2024-09-01)

Wavelet Features for Recognition of First Episode of Schizophrenia from MRI Brain Images
по: P. Dluhos, и др.
Опубликовано: (2014-04-01)

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI
по: Priyanka Tupe-Waghmare, и др.
Опубликовано: (2021-01-01)

Deep learning can reduce acquisition time of T2-weighted image in brain imaging
по: Eman Hassan El-Saeed Abou-ELMagd, и др.
Опубликовано: (2025-02-01)

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
по: Jagdeep Rahul, и др.
Опубликовано: (2024-02-01)

Creating 3D visualizations of MRI data: A brief guide [v1; ref status: indexed, http://f1000r.es/5o8]
по: Christopher R. Madan
Опубликовано: (2015-08-01)