Improved efficiency for microstructure imaging using high-dimensional MR correlation spectroscopic imaging. - Daeun Kim; Jessica L. Wisnowski; Justin P. Haldar (ACSSC, 2017)

Probing in vivo microstructure with T1-T2 relaxation correlation spectroscopic imaging. - Daeun Kim; Jessica L. Wisnowski; Christopher T. Nguyen; Justin P. Haldar (ISBI, 2018)

Global PDF-based temporal non-local means filtering reveals individual differences in brain connectivity. - Jian Li 033; Soyoung Choi; Anand A. Joshi; Jessica L. Wisnowski; Richard M. Leahy (ISBI, 2018)

Using the Anisotropic Laplace Equation to Compute Cortical Thickness. - Anand A. Joshi; Chitresh Bhushan; Ronald Salloum; Jessica L. Wisnowski; David W. Shattuck; Richard M. Leahy (MICCAI (3), 2018)

Brain network identification in asynchronous task fMRI data using robust and scalable tensor decomposition. - Jian Li 033; Jessica L. Wisnowski; Anand A. Joshi; Richard M. Leahy (Image Processing, 2019)

Structural network maturation of the preterm human brain. - Tengda Zhao; Virendra Mishra; Tina Jeon; Minhui Ouyang; Qinmu Peng; Lina Chalak; Jessica L. Wisnowski; Roy Heyne; Nancy K. Rollins; Ni Shu; Hao Huang 016 (NeuroImage, 2019)

Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI. - Jian Li 033; Soyoung Choi; Anand A. Joshi; Jessica L. Wisnowski; Richard M. Leahy (Medical Image Anal., 2020)

Robust brain network identification from multi-subject asynchronous fMRI data. - Jian Li 033; Jessica L. Wisnowski; Anand A. Joshi; Richard M. Leahy (NeuroImage, 2021)

Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain. - Jian Li 033; Yijun Liu; Jessica L. Wisnowski; Richard M. Leahy (NeuroImage, 2023)

Continuous Automated Analysis Workflow for MRS Studies. - Helge J. Zöllner; Christopher W. Davies-Jenkins; Erik G. Lee; Timothy J. Hendrickson; William T. Clarke; Richard A. E. Edden; Jessica L. Wisnowski; Aaron T. Gudmundson; Georg Oeltzschner (J. Medical Syst., 2023)