3 papers
eess.IV2025
Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
Jordan Jomsky, Kay C. Igwe, Zongyu Li +5
Brain age gap estimation (BrainAGE) is a promising imaging-derived biomarker of neurobiological aging and disease risk, yet current approaches rely predominantly on T1-weighted str…
eess.IV2025
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…
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)…