Efficient Claustrum Segmentation in T2-weighted Neonatal Brain MRI Using Transfer Learning from Adult Scans.
Antonia NeubauerHongwei Bran LiJil WendtBenita Schmitz-KoepAurore MenegauxDavid SchinzBjoern MenzeClaus ZimmerChristian SorgDennis M HedderichPublished in: Clinical neuroradiology (2022)
The developed fast and accurate automated segmentation has great potential in large-scale study cohorts and to facilitate MRI-based connectome research of the neonatal claustrum. The easy to use models and codes are made publicly available.
Keyphrases
- contrast enhanced
- deep learning
- magnetic resonance imaging
- convolutional neural network
- computed tomography
- resting state
- magnetic resonance
- diffusion weighted imaging
- machine learning
- functional connectivity
- high throughput
- high resolution
- white matter
- multiple sclerosis
- blood brain barrier
- mass spectrometry
- risk assessment
- brain injury
- climate change
- single cell
- electron transfer