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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.

Data and Resources

Cite this as

Mohammad S. Majdi, Mahesh B. Keerthivasan, Brian K. Rutt, Natalie M. Zahr, Jeffrey J. Rodriguez, Manojkumar Saranathan (2024). Dataset: Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks. https://doi.org/10.57702/d4xi8rsl

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Mohammad S. Majdi
More Authors
Mahesh B. Keerthivasan
Brian K. Rutt
Natalie M. Zahr
Jeffrey J. Rodriguez
Manojkumar Saranathan
Homepage https://arxiv.org/abs/2005.04644