3 papers
eess.IV2025
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
Xinliu Zhong, Ruiying Liu, Emily S. Nichols +4
Accurate placental segmentation is essential for quantitative analysis of the placenta. However, this task is particularly challenging in T2*-weighted placental imaging due to: (1)…
eess.IV2024
Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps
Jordan Jomsky, Zongyu Li, Kay C. Igwe +8
BrainAGE is a promising imaging-derived biomarker of neurobiological ageing and disease risk, yet current approaches rely predominantly on T1-weighted structural MRI, overlooking f…
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…