2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 2 cited
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
Aaron Cao, Zongyu Li, Jordan Jomsky +2
Widely used traditional pipelines for subcortical brain segmentation are often inefficient and slow, particularly when processing large datasets. Furthermore, deep learning models…
eess.IV2023
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
Aaron Cao, Vishwanatha M. Rao, Kejia Liu +3
Subcortical segmentation remains challenging despite its important applications in quantitative structural analysis of brain MRI scans. The most accurate method, manual segmentatio…