no code implementations • 21 May 2024 • Jayroop Ramesh, Nicola K Dinsdale, the INTERGROWTH-21st Consortium, Pak-Hei Yeung, Ana IL Namburete
Accurately localizing two-dimensional (2D) ultrasound (US) fetal brain images in the 3D brain, using minimal computational resources, is an important task for automated US analysis of fetal growth and development.
1 code implementation • ICCV 2023 • Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete
Our method outperforms existing SFDA approaches across a range of realistic data scenarios, demonstrating the potential utility of our approach for MRI harmonisation and general SFDA problems.
1 code implementation • 31 May 2022 • Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete
The ability to combine data across scanners and studies is vital for neuroimaging, to increase both statistical power and the representation of biological variability.
1 code implementation • 7 Jul 2021 • Nicola K Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen Smith, Ana IL Namburete
The combination of deep learning image analysis methods and large-scale imaging datasets offers many opportunities to imaging neuroscience and epidemiology.