output
20092024
most citedA multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging

92 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2024★ 3 cited

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease

Chenyu Gao, Michael E. Kim, Karthik Ramadass +27

Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting ea…

cs.CV2019★ 11 cited

3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles

Yuankai Huo, Zhoubing Xu, Yunxi Xiong +7

Detailed whole brain segmentation is an essential quantitative technique, which provides a non-invasive way of measuring brain regions from a structural magnetic resonance imaging…

cs.CV2018★ 1 cited

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran +7

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiatio…

cs.CV2018★ 8 cited

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

Yuankai Huo, Zhoubing Xu, Katherine Aboud +6

Whole brain segmentation on a structural magnetic resonance imaging (MRI) is essential in non-invasive investigation for neuroanatomy. Historically, multi-atlas segmentation (MAS)…

cs.CV2017

4D Multi-atlas Label Fusion using Longitudinal Images

Yuankai Huo, Susan M. Resnick, Bennett A. Landman

Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have show…