Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. - Barbara B. Bendlin; Michele L. Ries; Mariana Lazar; Andrew L. Alexander; Robert J. Dempsey; Howard A. Rowley; Jack E. Sherman; Sterling C. Johnson (NeuroImage, 2008)

Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys. - A. A. Willette; Barbara B. Bendlin; Donald G. McLaren; Elisa Canu; Erik K. Kastman; Kris Kosmatka; Guofan Xu; Aaron S. Field; Andrew L. Alexander; R. J. Colman; R. H. Weindruch; C. L. Coe; et al. (NeuroImage, 2010)

Age-related differences in white matter integrity and cognitive function are related to APOE status. - Lee Ryan; Katrin Walther; Barbara B. Bendlin; Lih-Fen Lue; Douglas G. Walker; Elizabeth L. Glisky (NeuroImage, 2011)

Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis. - Jia Du; Ameer Pasha Hosseinbor; Moo K. Chung; Barbara B. Bendlin; Gaurav Suryawanshi; Andrew L. Alexander; Anqi Qiu (IPMI, 2013)

A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure. - M. Hidayath Ansari; Michael H. Coen; Barbara B. Bendlin; Mark A. Sager; Sterling C. Johnson (AAAI, 2014)

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. - Hyunwoo J. Kim; Barbara B. Bendlin; Nagesh Adluru; Maxwell D. Collins; Moo K. Chung; Sterling C. Johnson; Richard J. Davidson; Vikas Singh (CVPR, 2014)

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. - Hyunwoo J. Kim; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson; Baba C. Vemuri; Vikas Singh (ECCV (2), 2014)

Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis. - Michael H. Coen; M. Hidayath Ansari; Barbara B. Bendlin (MLINI@NIPS, 2014)

Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis. - Jia Du; Ameer Pasha Hosseinbor; Moo K. Chung; Barbara B. Bendlin; Gaurav Suryawanshi; Andrew L. Alexander; Anqi Qiu (Medical Image Anal., 2014)

Statistical inference models for image datasets with systematic variations. - Won Hwa Kim; Barbara B. Bendlin; Moo K. Chung; Sterling C. Johnson; Vikas Singh (CVPR, 2015)

Multi-resolution statistical analysis on graph structured data in neuroimaging. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson (ISBI, 2015)

A 4D hyperspherical interpretation of q-space. - Ameer Pasha Hosseinbor; Moo K. Chung; Yu-Chien Wu; Barbara B. Bendlin; Andrew L. Alexander (Medical Image Anal., 2015)

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. - Won Hwa Kim; Nagesh Adluru; Moo K. Chung; Ozioma C. Okonkwo; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (NeuroImage, 2015)

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. - Seong Jae Hwang; Nagesh Adluru; Maxwell D. Collins; Sathya N. Ravi; Barbara B. Bendlin; Sterling C. Johnson; Vikas Singh (CVPR, 2016)

Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. - Rudrasis Chakraborty; Xingjian Zhen; Nicholas Vogt; Barbara B. Bendlin; Vikas Singh (ICCV, 2019)

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. - Seong Jae Hwang; Nagesh Adluru; Won Hwa Kim; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (Brain Connect., 2019)

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. - Wei Hao; Nicholas M. Vogt; Zihang Meng; Seong Jae Hwang; Rebecca L. Koscik; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (ISBI, 2020)

Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams. - Arman P. Kulkarni; Moo K. Chung; Barbara B. Bendlin; Vivek Prabhakaran (ISBI Workshops, 2020)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. - Gabriel Girard; Jonathan Rafael-Patino; Raphaël Truffet; Dogu Baran Aydogan; Nagesh Adluru; Veena A. Nair; Vivek Prabhakaran; Barbara B. Bendlin; Andrew L. Alexander; Sara Bosticardo; Ilaria Gabusi; Mario Ocampo-Pineda; et al. (NeuroImage, 2023)