Robust biological parametric mapping: an improved technique for multimodal brain image analysis. - Xue Yang; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman (Image Processing, 2011)

Biological parametric mapping with robust and non-parametric statistics. - Xue Yang; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman (NeuroImage, 2011)

Frontal function and executive processing in older adults: Process and region specific age-related longitudinal functional changes. - Joshua Oon Soo Goh; Lori L. Beason-Held; Yang An; Michael A. Kraut; Susan M. Resnick (NeuroImage, 2013)

Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging. - Harini Eavani; Meng-Kang Hsieh; Yang An; Güray Erus; Lori L. Beason-Held; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2016)

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. - Vishwesh Nath; Samuel Remedios; Prasanna Parvathaneni; Colin B. Hansen; Roza G. Bayrak; Camilo Bermudez; Justin A. Blaber; Kurt G. Schilling; Vaibhav A. Janve; Yurui Gao; Yuankai Huo; Ilwoo Lyu; et al. (Image Processing, 2019)

Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. - Owen A. Williams; Yang An; Lori L. Beason-Held; Yuankai Huo; Luigi Ferrucci; Bennett A. Landman; Susan M. Resnick (NeuroImage, 2019)

Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. - Shikha Chaganti; Louise A. Mawn; Hakmook Kang; Josephine Egan; Susan M. Resnick; Lori L. Beason-Held; Bennett A. Landman; Thomas A. Lasko (IEEE J. Biomed. Health Informatics, 2019)

Associations between cognitive and brain volume changes in cognitively normal older adults. - Nicole M. Armstrong; Yang An; John J. Shin; Owen A. Williams; Jimit Doshi; Güray Erus; Christos Davatzikos; Luigi Ferrucci; Lori L. Beason-Held; Susan M. Resnick (NeuroImage, 2020)

Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging. - Danielle June; Owen A. Williams; Chiung-Wei Huang; Yang An; Bennett A. Landman; Christos Davatzikos; Murat Bilgel; Susan M. Resnick; Lori L. Beason-Held (NeuroImage, 2020)

Joint cortical surface and structural connectivity analysis of Alzheimer's disease. - Leon Y. Cai; Cailey I. Kerley; Chang Yu 008; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Ilwoo Lyu; Bennett A. Landman (Image Processing, 2021)

Validation of group-wise registration for surface-based functional MRI analysis. - Chang Yu 008; Yue Liu 003; Leon Y. Cai; Cailey I. Kerley; Kaiwen Xu; Warren D. Taylor; Hakmook Kang; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman; Ilwoo Lyu (Image Processing, 2021)

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. - Leon Y. Cai; Francois Rheault; Cailey I. Kerley; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

Longitudinal changes of connectomes and graph theory measures in aging. - Yuzhe Wang; Francois Rheault; Kurt G. Schilling; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Bennett A. Landman (Image Processing, 2022)

Harmonizing functional connectivity reduces scanner effects in community detection. - Andrew A. Chen; Dhivya Srinivasan; Raymond Pomponio; Yong Fan 001; Ilya M. Nasrallah; Susan M. Resnick; Lori L. Beason-Held; Christos Davatzikos; Theodore D. Satterthwaite; Dani S. Bassett; Russell T. Shinohara; Haochang Shou (NeuroImage, 2022)

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. - Cailey I. Kerley; Shikha Chaganti; Tin Q. Nguyen; Camilo Bermudez; Laurie E. Cutting; Lori L. Beason-Held; Thomas A. Lasko; Bennett A. Landman (Neuroinformatics, 2022)

Automatic preprocessing pipeline for white matter functional analyses of large-scale databases. - Yurui Gao; Dylan R. Lawless; Muwei Li; Yu Zhao; Kurt G. Schilling; Lyuan Xu; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Baxter P. Rogers; Zhaohua Ding; Adam W. Anderson; et al. (Image Processing, 2023)

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. - Cailey I. Kerley; Leon Y. Cai; Yucheng Tang; Lori L. Beason-Held; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (Image Processing, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou; Hongming Li; Dhivya Srinivasan; Ahmed Abdulkadir; Ilya M. Nasrallah; Junhao Wen 002; Jimit Doshi; Güray Erus; Elizabeth Mamourian; R. Nick Bryan; David A. Wolk; Lori L. Beason-Held; et al. (NeuroImage, 2023)

Functional alterations in bipartite network of white and grey matters during aging. - Yurui Gao; Yu Zhao; Muwei Li; Richard D. Lawless; Kurt G. Schilling; Lyuan Xu; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Baxter P. Rogers; Zhaohua Ding; Adam W. Anderson; et al. (NeuroImage, 2023)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. - Praitayini Kanakaraj; Tianyuan Yao; Leon Y. Cai; Ho Hin Lee; Nancy R. Newlin; Michael E. Kim; Chenyu Gao; Kimberly R. Pechman; Derek B. Archer; Timothy J. Hohman; Angela L. Jefferson; Lori L. Beason-Held; et al. (Neuroinformatics, 2024)

Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding. - Tianyuan Yao; Zhiyuan Li 012; Praitayini Kanakaraj; Derek B. Archer; Kurt Schilling; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman; Yuankai Huo (CoRR, 2025)

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. - Chenyu Gao; Kaiwen Xu; Michael E. Kim; Lianrui Zuo; Zhiyuan Li 012; Derek B. Archer; Timothy J. Hohman; Ann Zenobia Moore; Luigi Ferrucci; Lori L. Beason-Held; Susan M. Resnick; Christos Davatzikos; et al. (CoRR, 2025)