Yimei Li

According to our database, Yimei Li authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Host heterogeneity and epistasis explain punctuated evolution of SARS-CoV-2.

Bjarke Frost Nielsen, Chadi M. Saad-Roy, Yimei Li, Kim Sneppen, Lone Simonsen, Cécile Viboud, Simon A. Levin, Bryan T. Grenfell

PLoS Comput. Biol., February, 2023

2019

Finite mixture of varying coefficient model: Estimation and component selection.

Mao Ye, Zhao-Hua Lu, Yimei Li, Xinyuan Song

J. Multivar. Anal., 2019

2018

Compressed Sensing in Multi-Hop Large-Scale Wireless Sensor Networks Based on Routing Topology Tomography.

Yimei Li, Yao Liang

IEEE Access, 2018

2017

A Networked Sensor System for the Analysis of Plot-Scale Hydrology.

German Villalba, Fernando Plaza, Xiaoyang Zhong, Tyler W. Davis, Miguel Navarro, Yimei Li, Thomas A. Slater, Yao Liang, Xu Liang

Sensors, 2017

Analysis of a fixed center effect additive rates model for recurrent event data.

Haijin He, Deng Pan, Liuquan Sun, Yimei Li, Leslie L. Robison, Xinyuan Song

Comput. Stat. Data Anal., 2017

2016

Temporal Lossless and Lossy Compression in Wireless Sensor Networks.

Yimei Li, Yao Liang

ACM Trans. Sens. Networks, 2016

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data.

Jung Won Hyun, Yimei Li, Chao Huang, Martin Styner, Weili Lin, Hongtu Zhu

NeuroImage, 2016

Application of probabilistic fiber-tracking method of MR imaging to measure impact of cranial irradiation on structural brain connectivity in children treated for medulloblastoma.

Elizabeth C. Duncan, Wilburn E. Reddick, John O. Glass, Jung Won Hyun, Qing Ji, Yimei Li, Amar Gajjar

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2014

SGPP: spatial Gaussian predictive process models for neuroimaging data.

Jung Won Hyun, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Andreas Styner, Hongtu Zhu

NeuroImage, 2014

Towards Long-Term Multi-Hop WSN Deployments for Environmental Monitoring: An Experimental Network Evaluation.

Miguel Navarro, Tyler W. Davis, German Villalba, Yimei Li, Xiaoyang Zhong, Newlyn Erratt, Xu Liang, Yao Liang

J. Sens. Actuator Networks, 2014

An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks.

Yao Liang, Yimei Li

IEEE Commun. Lett., 2014

2013

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.

Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, Hongtu Zhu

NeuroImage, 2013

2012

TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.

Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu

IEEE Trans. Medical Imaging, 2012

2011

Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.

Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu

Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

2010

Multivariate Varying Coefficient Models for DTI Tract Statistics.

Hongtu Zhu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher L. Coe, John H. Gilmore

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

RADTI: regression analyses of diffusion tensor images.

Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen

Proceedings of the Medical Imaging 2009: Image Processing, 2009

LSTGEE: longitudinal analysis of neuroimaging data.

Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen

Proceedings of the Medical Imaging 2009: Image Processing, 2009

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.

Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2009