Karthik Ramakrishnan Sreenivasan

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 9

Top Topics

Canonical Correlation Analysis

Granger Causality

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Zhengshi Yang, Xiaowei Zhuang, Virendra Mishra, Karthik Ramakrishnan Sreenivasan, Dietmar Cordes
CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox. NeuroImage 218 (2020)
Xiaowei Zhuang, Zhengshi Yang, Virendra Mishra, Karthik Ramakrishnan Sreenivasan, Charles Bernick, Dietmar Cordes
Single-scale time-dependent window-sizes in sliding-window dynamic functional connectivity analysis: A validation study. NeuroImage 220 (2020)
Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Dietmar Cordes
Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network. NeuroImage 223 (2020)
Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Tim Curran, Dietmar Cordes
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory. Medical Image Anal. 60 (2020)
Xiaowei Zhuang, Zhengshi Yang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Tim Curran, Rajesh Nandy, Dietmar Cordes
Multivariate group-level analysis for task fMRI data with canonical correlation analysis. NeuroImage 194 (2019)
Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Tim Curran, Richard Byrd, Rajesh Nandy, Dietmar Cordes
3D spatially-adaptive canonical correlation analysis: Local and global methods. NeuroImage 169 (2018)
Xiaowei Zhuang, R. R. Walsh, Karthik Ramakrishnan Sreenivasan, Zhengshi Yang, Virendra Mishra, Dietmar Cordes
Incorporating spatial constraint in co-activation pattern analysis to explore the dynamics of resting-state networks: An application to Parkinson's disease. NeuroImage 172 (2018)
Karthik Ramakrishnan Sreenivasan, Xiaowei Zhuang, Sarah J. Banks, Virendra Mishra, Zhengshi Yang, Gopikrishna Deshpande, Dietmar Cordes
Olfactory Network Differences in Master Sommeliers: Connectivity Analysis Using Granger Causality and Graph Theoretical Approach. Brain Connect. 7 (2) (2017)
Dietmar Cordes, Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Le H. Hua
A new algebraic method for quantitative proton density mapping using multi-channel coil data. Medical Image Anal. 40 (2017)
Karthik Ramakrishnan Sreenivasan, Martin Havlicek, Gopikrishna Deshpande
Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering. IEEE Trans. Medical Imaging 34 (5) (2015)
Muriah D. Wheelock, Karthik Ramakrishnan Sreenivasan, Kimberly H. Wood, Lawrence W. Ver Hoef, Gopikrishna Deshpande, David C. Knight
Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity. NeuroImage 102 (2014)