Jian Kang (J Kang)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Fluorescence Imaging

Top Venues

Journal of the Royal Statistical Society. Series B, Statistical methodology

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America

AJNR. American journal of neuroradiology

This page only lists publications with an associated author ORCID identifier.

Publications

Xiang Lyu, Jian Kang, Lexin Li
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis. Biometrics 80 (2) (2024)
Yuming Sun, Jian Kang, Chinmay Haridas, Nicholas Mayne, Alexandra Potter, Chi-Fu Yang, David C Christiani, Yi Li
Penalized deep partially linear cox models with application to CT scans of lung cancer patients. Biometrics 80 (1) (2024)
Yuming Sun, Jian Kang, Chinmay Haridas, Nicholas Mayne, Alexandra Potter, Chi-Fu Yang, David C Christiani, Yi Li
Penalized deep partially linear cox models with application to CT scans of lung cancer patients. Biometrics 80 (1) (2024)
Xiang Lyu, Jian Kang, Lexin Li
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis. Biometrics 80 (2) (2024)
Xiang Lyu, Jian Kang, Lexin Li
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis. Biometrics 80 (2) (2024)
Xiang Lyu, Jian Kang, Lexin Li
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis. Biometrics 80 (2) (2024)
Yuan Yang, Ziyang Pan, Jian Kang, Chad Brummett, Yi Li
Simultaneous selection and inference for varying coefficients with zero regions: a soft-thresholding approach. Biometrics (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Tianyu Zhan, Jian Kang
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning. Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 31 (3) (2022)
Tianyu Zhan, Jian Kang
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning. Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 31 (3) (2022)
Yize Zhao, Ben Wu, Jian Kang
Bayesian interaction selection model for multimodal neuroimaging data analysis. Biometrics (2022)
Chao Yuan, Hongtao Yang, Siyuan Zheng, Xiangyu Sun, Xiaochi Chen, Yuntao Chen, Jian Kang, Moubin Liu, Shu Guo Zheng
Spatiotemporal distribution and control measure evaluation of droplets and aerosol clouds in dental procedures. Infection control and hospital epidemiology (2022)
Tianyu Zhan, Jian Kang
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning. Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 31 (3) (2022)
Tianyu Zhan, Jian Kang
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning. Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 31 (3) (2022)
Ben Wu, Subhadip Pal, Jian Kang, Ying Guo
Rejoinder to discussions of "distributional independent component analysis for diverse neuroimaging modalities". Biometrics (2021)
Kevin He, Ji Zhu, Jian Kang, Yi Li
Stratified Cox models with time-varying effects for national kidney transplant patients: A new blockwise steepest ascent method. Biometrics (2021)
Ben Wu, Subhadip Pal, Jian Kang, Ying Guo
Distributional independent component analysis for diverse neuroimaging modalities. Biometrics (2021)
Tianyu Zhan, Yiwang Zhou, Ziqian Geng, Yihua Gu, Jian Kang, Li Wang, Xiaohong Huang, Elizabeth H Slate
Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints. Journal of biopharmaceutical statistics (2021)
Cui Guo, Jian Kang, Timothy D Johnson
A spatial Bayesian latent factor model for image-on-image regression. Biometrics (2020)
Hyokyoung G Hong, Jian Kang, Yi Li
Conditional screening for ultra-high dimensional covariates with survival outcomes. Lifetime data analysis 24 (1) (2016)
Seena Dehkharghani, M Bowen, Diogo C Haussen, Tyler J Gleason, Adam B Prater, Qingpo Cai, Jian Kang, Raul Gomes Nogueira
Body Temperature Modulates Infarction Growth following Endovascular Reperfusion. AJNR. American journal of neuroradiology 38 (1) (2016)
Seena Dehkharghani, R Bammer, M Straka, M Bowen, Jason W Allen, Srikant Rangaraju, Jian Kang, Tyler J Gleason, C Brasher, Fadi Nahab
Performance of CT ASPECTS and Collateral Score in Risk Stratification: Can Target Perfusion Profiles Be Predicted without Perfusion Imaging? AJNR. American journal of neuroradiology 37 (8) (2016)