Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks

doi:doi:10.57702/d4xi8rsl

Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks

A cascaded multi-planar scheme with a modified residual U-Net architecture was used to segment thalamic nuclei on conventional and white-matter-nulled (WMn) magnetization prepared rapid gradient echo (MPRAGE) data.

BibTex:

@dataset{Mohammad_S_Majdi_and_Mahesh_B_Keerthivasan_and_Brian_K_Rutt_and_Natalie_M_Zahr_and_Jeffrey_J_Rodriguez_and_Manojkumar_Saranathan_2024,
    abstract = {A cascaded multi-planar scheme with a modified residual U-Net architecture was used to segment thalamic nuclei on conventional and white-matter-nulled (WMn) magnetization prepared rapid gradient echo (MPRAGE) data.},
    author = {Mohammad S. Majdi and Mahesh B. Keerthivasan and Brian K. Rutt and Natalie M. Zahr and Jeffrey J. Rodriguez and Manojkumar Saranathan},
    doi = {10.57702/d4xi8rsl},
    institution = {No Organization},
    keyword = {'convolutional neural networks', 'multi-planar', 'segmentation', 'thalamic nuclei', 'white matter nulled'},
    month = {dec},
    publisher = {TIB},
    title = {Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks},
    url = {https://service.tib.eu/ldmservice/dataset/automated-thalamic-nuclei-segmentation-using-multi-planar-cascaded-convolutional-neural-networks},
    year = {2024}
}