Transfer learning on T1-weighted images for brain age estimation-Reference-Cited by-同舟云学术

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Transfer learning on T1-weighted images for brain age estimation

Published:2019 Issue:5 Volume:16 Page:4382-4398
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Jiang Haitao, ,Guo Jiajia,Du Hongwei,Xu Jinzhang,Qiu Bensheng,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference4 articles.

1. O. Ronneberger, P. Fischer and T. Brox,

2. P. Lakhani and B. Sundaram, Deep learning at chest

3. K. Franke, G. Ziegler, S. Klöppel, et al., Estimating the age of healthy subjects from t1-weighted mri scans using kernel

4. S. Ioffe and C. Szegedy, Batch

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1. Brain Age Is Associated with Cognitive Outcomes of Cholinesterase Inhibitor Treatment in Patients with Mild Cognitive Impairment;Journal of Alzheimer's Disease;2024-04-02

2. Brain Age Prediction Using Multi-Hop Graph Attention Combined with Convolutional Neural Network;Bioengineering;2024-03-08

3. Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting;Human Brain Mapping;2024-03

4. In-depth Benchmarking of Transfer Learning Techniques for Improved Bottle Recognition;2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS);2023-07-04

5. Age Estimation from Brain Magnetic Resonance Images Using Deep Learning Techniques in Extensive Age Range;Applied Sciences;2023-01-30

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