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...

書誌詳細
第一著者:	Roibu, A-C
その他の著者:	Griffanti, L
フォーマット:	学位論文
言語:	English
出版事項:	2023
主題:	AI Neuroscience Neuroimaging Deep learning (machine learning)

類似資料

Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
著者:: Yutong Wu, 等
出版事項: (2024-08-01)

Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review
著者:: D. Matuliauskas, 等
出版事項: (2023-10-01)

Investigating the role of inhibition in human motor learning
著者:: Grigoras, IF
出版事項: (2022)

Artificial intelligence for diffusion MRI-based tissue microstructure estimation in the human brain: an overview
著者:: Abrar Faiyaz, 等
出版事項: (2023-04-01)

Benchmarking explanation methods for mental state decoding with deep learning models
著者:: Armin W. Thomas, 等
出版事項: (2023-06-01)

Editorial: Deep learning in neuroimaging-based neurological disease analysis
著者:: Xiaoxiao Li, 等
出版事項: (2023-01-01)

Developing neuroimaging biomarkers for neurodegeneration and ageing using machine learning methods
著者:: Arya, Z
出版事項: (2019)

Increased MRI-based Brain Age in chronic migraine patients
著者:: Rafael Navarro-González, 等
出版事項: (2023-10-01)

Deep neural network heatmaps capture Alzheimer’s disease patterns reported in a large meta-analysis of neuroimaging studies
著者:: Di Wang, 等
出版事項: (2023-04-01)

DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
著者:: Adam Hakim, 等
出版事項: (2023-06-01)

Editorial: Machine and deep-learning for computational neuroscience
著者:: Gaurav Dhiman, 等
出版事項: (2023-07-01)

Neuroimaging data repositories and AI-driven healthcare—Global aspirations vs. ethical considerations in machine learning models of neurological disease
著者:: Christine Lock, 等
出版事項: (2024-02-01)

Editorial: Machine Learning for Quantitative Neuroimaging Analysis
著者:: Yuankai Huo, 等
出版事項: (2022-05-01)

Investigating the functional organisation of human visual cortex using ultra-high resolution fMRI
著者:: Finnegan, S
出版事項: (2016)

A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder
著者:: Xuanyi Li, 等
出版事項: (2023-11-01)

MRI Analysis: Optimization of parameters for diffusion MRI to enhance hippocampal subfield analysis and segmentation (Preliminary Data)
著者:: P. Nwaubani, 等
出版事項: (2022-06-01)

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
著者:: Constantinos Halkiopoulos, 等
出版事項: (2025-02-01)

Low-Rank Tensor Fusion for Enhanced Deep Learning-Based Multimodal Brain Age Estimation
著者:: Xia Liu, 等
出版事項: (2024-12-01)

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
著者:: Parisa Moridian, 等
出版事項: (2022-10-01)

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
著者:: Louis Fabrice Tshimanga, 等
出版事項: (2023-04-01)

Deep Learning Aided Neuroimaging and Brain Regulation
著者:: Mengze Xu, 等
出版事項: (2023-05-01)

Wildfire Danger Prediction and Understanding With Deep Learning
著者:: Spyros Kondylatos, 等
出版事項: (2022-09-01)

FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI
著者:: Leonie Henschel, 等
出版事項: (2022-05-01)

Neuropedagogy and Neuroimaging of Artificial Intelligence and Deep Learning
著者:: Claudia De Barros Camargo , Antonio Hernández Fernández
出版事項: (2024-10-01)

Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches
著者:: Maha Gharaibeh, 等
出版事項: (2021-12-01)

Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications
著者:: Ondrej Krejcar, 等
出版事項: (2025-02-01)

Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI
著者:: Gazi Hasan Al Masud, 等
出版事項: (2025-03-01)

A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance
著者:: Michael Tannous, 等
出版事項: (2023-01-01)

Wavelet Features for Recognition of First Episode of Schizophrenia from MRI Brain Images
著者:: P. Dluhos, 等
出版事項: (2014-04-01)

Artificial intelligence role in advancement of human brain connectome studies
著者:: Dorsa Shekouh, 等
出版事項: (2024-09-01)

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI
著者:: Priyanka Tupe-Waghmare, 等
出版事項: (2021-01-01)

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

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
著者:: Angela Lombardi, 等
出版事項: (2021-10-01)

Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery
著者:: Robert Vogel, 等
出版事項: (2024-09-01)

Deep learning can reduce acquisition time of T2-weighted image in brain imaging
著者:: Eman Hassan El-Saeed Abou-ELMagd, 等
出版事項: (2025-02-01)

Leveraging Brain MRI for Biomedical Alzheimer’s Disease Diagnosis Using Enhanced Manta Ray Foraging Optimization Based Deep Learning
著者:: R. Syed Jamalullah, 等
出版事項: (2023-01-01)

Prediction of Autopsy Verified Neuropathological Change of Alzheimer’s Disease Using Machine Learning and MRI
著者:: Alexander Kautzky, 等
出版事項: (2018-12-01)

Genetic risk and resilience for Alzheimer’s disease: The effect of the three APOE alleles on brain function across life
著者:: Suri, S
出版事項: (2016)

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
著者:: Jagdeep Rahul, 等
出版事項: (2024-02-01)

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics
著者:: Moona Mazher, 等
出版事項: (2022-11-01)