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...
主要作者: | Roibu, A-C |
---|---|
其他作者: | Griffanti, L |
格式: | Thesis |
语言: | English |
出版: |
2023
|
主题: |
相似书籍
-
Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
由: Yutong Wu, et al.
出版: (2024-08-01) -
Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review
由: D. Matuliauskas, et al.
出版: (2023-10-01) -
Investigating the role of inhibition in human motor learning
由: Grigoras, IF
出版: (2022) -
Artificial intelligence for diffusion MRI-based tissue microstructure estimation in the human brain: an overview
由: Abrar Faiyaz, et al.
出版: (2023-04-01) -
Benchmarking explanation methods for mental state decoding with deep learning models
由: Armin W. Thomas, et al.
出版: (2023-06-01)