21 citations · 48 across the 6 of their papers we have counts for
4 papers · 1 filter
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)…
Improving Across-Dataset Brain Tissue Segmentation Using Transformer
Vishwanatha M. Rao, Zihan Wan, Soroush Arabshahi +6
Brain tissue segmentation has demonstrated great utility in quantifying MRI data through Voxel-Based Morphometry and highlighting subtle structural changes associated with various…
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Xinzi He, Jia Guo, Xuzhe Zhang +9
Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer
Xuzhe Zhang, Xinzi He, Jia Guo +6
Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life. Developmental scientists are particular…