Weikang Gong
Biographic Data
| ID | 7979643 |
|---|---|
| NAME | Weikang Gong |
| GIVEN NAMES | Weikang |
| FAMILY NAME | Gong |
| SIGNATURE | GONG W |
| AFFILIATIONS | Wellcome Centre for Integrative Neuroimaging |
| ORCID | 0000-0002-5387-4428 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge
Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…
No prominent works on this page.
Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge
Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…
Artificial Intelligence (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Domain Adaptation and Few-Shot Learning (1 work) · Functional Brain Connectivity Studies (1 work) · Machine learning (1 work) · Margin (machine learning (1 work) · Neonatal and fetal brain pathology (1 work)