Rebecca C. Knickmeyer

Publication Activity (10 Years)

Years Active: 2007-2019
Publications (10 Years): 4

Top Topics

High Throughput

Regression Model

Association Analysis

Top Venues

Publications

Wei Gao, Karen Grewen, Rebecca C. Knickmeyer, Anqi Qiu, Andrew P. Salzwedel, Weili Lin, John H. Gilmore
A review on neuroimaging studies of genetic and environmental influences on early brain development. NeuroImage 185 (2019)
Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. IPMI (2017)
Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C. Knickmeyer, Hongtu Zhu
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. NeuroImage 146 (2017)
Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative
FGWAS: Functional genome wide association analysis. NeuroImage 159 (2017)
Meiyan Huang, Thomas E. Nichols, Chao Huang, Yang Yu, Zhaohua Lu, Rebecca C. Knickmeyer, Qianjin Feng, Hongtu Zhu
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. NeuroImage 118 (2015)
Martin Styner, Rebecca C. Knickmeyer, Christopher L. Coe, Sarah J. Short, John H. Gilmore
Automatic regional analysis of DTI properties in the developmental macaque brain. Medical Imaging: Image Processing (2008)
Martin Styner, Rebecca C. Knickmeyer, Sarang C. Joshi, Christopher L. Coe, Sarah J. Short, John H. Gilmore
Automatic brain segmentation in rhesus monkeys. Medical Imaging: Image Processing (2007)