Morphological Analysis of Brain Structures Using Spatial Normalization. - Christos Davatzikos; Marc Vaillant; Susan M. Resnick; Jerry L. Prince; Stanley Letovsky; R. Nick Bryan (VBC, 1996)

Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy. - Christos Davatzikos; Ahmet Genc; Dongrong Xu; Susan M. Resnick (NeuroImage, 2001)

Effects of Estrogen on Patterns of Brain Activity at Rest and during Cognitive Activity: A Review of Neuroimaging Studies. - Pauline M. Maki; Susan M. Resnick (NeuroImage, 2001)

Automatic segmentation of white matter lesions in T1-weighted brain MR images. - Songyang Yu; Dzung L. Pham; Dinggang Shen; Edward Herskovits; Susan M. Resnick; Christos Davatzikos (ISBI, 2002)

New approaches for measuring changes in the cortical surface using an automatic reconstruction algorithm. - Dzung L. Pham; Xiao Han 007; Maryam E. Rettmann; Chenyang Xu 001; Duygu Tosun; Susan M. Resnick; Jerry L. Prince (Image Processing, 2002)

Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model. - Dinggang Shen; Scott Moffat; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2002)

Automatic classification of sulcal regions of the human brain cortex using pattern recognition. - Kirsten Judith Behnke; Maryam E. Rettmann; Dzung L. Pham; Dinggang Shen; Susan M. Resnick; Christos Davatzikos; Jerry L. Prince (Image Processing, 2003)

Cortical Reconstruction Using Implicit Surface Evolution: A Landmark Validation Study. - Duygu Tosun; Maryam E. Rettmann; Daniel Q. Naiman; Susan M. Resnick; Michael A. Kraut; Jerry L. Prince (MICCAI (1), 2004)

Age differences in orbitofrontal activation: an fMRI investigation of delayed match and nonmatch to sample. - Melissa Lamar; David M. Yousem; Susan M. Resnick (NeuroImage, 2004)

Morphological classification of brains via high-dimensional shape transformations and machine learning methods. - Zhiqiang Lao; Dinggang Shen; Zhong Xue; Bilge Karaçali; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2004)

Program for Assisted Labeling of Sulcal Regions (PALS): description and reliability. - Maryam E. Rettmann; Duygu Tosun; Xiaodong Tao; Susan M. Resnick; Jerry L. Prince (NeuroImage, 2005)

Cortical reconstruction using implicit surface evolution: Accuracy and precision analysis. - Duygu Tosun; Maryam E. Rettmann; Daniel Q. Naiman; Susan M. Resnick; Michael A. Kraut; Jerry L. Prince (NeuroImage, 2006)

Using a reference tissue model with spatial constraint to quantify [11C]Pittsburgh compound B PET for early diagnosis of Alzheimer's disease. - Yun Zhou 006; Susan M. Resnick; Weiguo Ye; Hong Fan; Daniel P. Holt; William E. Klunk; Chester A. Mathis; Robert F. Dannals; Dean F. Wong (NeuroImage, 2007)

Automated reliable labeling of the cortical surface. - Jing Wan; Aaron Carass; Susan M. Resnick; Jerry L. Prince (ISBI, 2008)

Feature selection and classification of multiparametric medical images using bagging and SVM. - Yong Fan 001; Susan M. Resnick; Christos Davatzikos (Image Processing, 2008)

Spatial normalization of diffusion tensor images based on anisotropic segmentation. - Jinzhong Yang; Dinggang Shen; Chandan Misra; Xiaoying Wu; Susan M. Resnick; Christos Davatzikos; Ragini Verma (Image Processing, 2008)

Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. - Christos Davatzikos; Susan M. Resnick; X. Wu; P. Parmpi; Christopher M. Clark (NeuroImage, 2008)

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study. - Yong Fan 001; Susan M. Resnick; Xiaoying Wu; Christos Davatzikos (NeuroImage, 2008)

Spatio-temporal Analysis of Brain MRI Images Using Hidden Markov Models. - Ying Wang 003; Susan M. Resnick; Christos Davatzikos (MICCAI (2), 2010)

Longitudinal changes in cortical thickness associated with normal aging. - Madhav Thambisetty; Jing Wan; Aaron Carass; Yang An; Jerry L. Prince; Susan M. Resnick (NeuroImage, 2010)

Sex Differences in Brain Activation During Virtual Navigation: A Functional MRI Study. - Nicole Nowak; Susan M. Resnick; Wendy Elkins; Scott Moffat (CogSci, 2011)

Understanding heterogeneity in normal older adult populations via clustering of longitudinal data. - Roman Filipovych; Susan M. Resnick; Christos Davatzikos (ISBI, 2011)

Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults. - Roman Filipovych; Susan M. Resnick; Christos Davatzikos (MLMI, 2011)

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging. - Xue Yang; Carolyn B. Lauzon; Ciprian M. Crainiceanu; Brian C. Caffo; Susan M. Resnick; Bennett A. Landman (MBIA, 2011)

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)

Simple paradigm for extra-cerebral tissue removal: Algorithm and analysis. - Aaron Carass; Jennifer L. Cuzzocreo; M. Bryan Wheeler; Pierre-Louis Bazin; Susan M. Resnick; Jerry L. Prince (NeuroImage, 2011)

Semi-supervised cluster analysis of imaging data. - Roman Filipovych; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2011)

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

Consistent segmentation using a Rician classifier. - Snehashis Roy; Aaron Carass; Pierre-Louis Bazin; Susan M. Resnick; Jerry L. Prince (Medical Image Anal., 2012)

Dynamic Bayesian network modeling for longitudinal brain morphometry. - Rong Chen 005; Susan M. Resnick; Christos Davatzikos; Edward Herskovits (NeuroImage, 2012)

Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment. - Madhav Thambisetty; Yang An; Anna Kinsey; Deepthi Koka; Muzamil Saleem; Andreas Gupsilonntert; Michael A. Kraut; Luigi Ferrucci; Christos Davatzikos; Simon Lovestone; Susan M. Resnick (NeuroImage, 2012)

Biological parametric mapping accounting for random regressors with regression calibration and model II regression. - Xue Yang; Carolyn B. Lauzon; Ciprian M. Crainiceanu; Brian C. Caffo; Susan M. Resnick; Bennett A. Landman (NeuroImage, 2012)

JointMMCC: Joint Maximum-Margin Classification and Clustering of Imaging Data. - Roman Filipovych; Susan M. Resnick; Christos Davatzikos (IEEE Trans. Medical Imaging, 2012)

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)

System for Integrated Neuroimaging Analysis and Processing of Structure. - Bennett A. Landman; John A. Bogovic; Aaron Carass; Min Chen 006; Snehashis Roy; Navid Shiee; Zhen Yang 002; Bhaskar Kishore; Dzung L. Pham; Pierre-Louis Bazin; Susan M. Resnick; Jerry L. Prince (Neuroinformatics, 2013)

Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model. - Murat Bilgel; Aaron Carass; Susan M. Resnick; Dean F. Wong; Jerry L. Prince (MLMI, 2014)

Association of hearing impairment with brain volume changes in older adults. - F. R. Lin; Luigi Ferrucci; Yang An; Joshua Oon Soo Goh; Jimit Doshi; E. J. Metter; Christos Davatzikos; Michael A. Kraut; Susan M. Resnick (NeuroImage, 2014)

Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging. - Murat Bilgel; Bruno Jedynak; Dean F. Wong; Susan M. Resnick; Jerry L. Prince (IPMI, 2015)

Bootstrapping white matter segmentation, Eve++. - Andrew J. Plassard; Kendra E. Hinton; Vijay K. Venkatraman; Christopher E. Gonzalez; Susan M. Resnick; Bennett A. Landman (Image Processing, 2015)

Deformation field correction for spatial normalization of PET images. - Murat Bilgel; Aaron Carass; Susan M. Resnick; Dean F. Wong; Jerry L. Prince (NeuroImage, 2015)

Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. - Aristeidis Sotiras; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2015)

Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths. - Vijay K. Venkatraman; Christopher E. Gonzalez; Bennett A. Landman; Joshua Oon Soo Goh; David A. Reiter; Yang An; Susan M. Resnick (NeuroImage, 2015)

Combining multi-atlas segmentation with brain surface estimation. - Yuankai Huo; Aaron Carass; Susan M. Resnick; Dzung L. Pham; Jerry L. Prince; Bennett A. Landman (Image Processing, 2016)

A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. - Murat Bilgel; Jerry L. Prince; Dean F. Wong; Susan M. Resnick; Bruno M. Jedynak (NeuroImage, 2016)

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection. - Jimit Doshi; Güray Erus; Yangming Ou; Susan M. Resnick; Ruben C. Gur; Raquel E. Gur; Theodore D. Satterthwaite; Susan Furth; Christos Davatzikos (NeuroImage, 2016)

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)

Consistent cortical reconstruction and multi-atlas brain segmentation. - Yuankai Huo; Andrew J. Plassard; Aaron Carass; Susan M. Resnick; Dzung L. Pham; Jerry L. Prince; Bennett A. Landman (NeuroImage, 2016)

4D Multi-atlas Label Fusion Using Longitudinal Images. - Yuankai Huo; Susan M. Resnick; Bennett A. Landman (Patch-MI@MICCAI, 2017)

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Yuankai Huo; Zhoubing Xu; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (MICCAI (3), 2018)

Learning implicit brain MRI manifolds with deep learning. - Camilo Bermudez; Andrew J. Plassard; Larry T. Davis; Allen T. Newton; Susan M. Resnick; Bennett A. Landman (Image Processing, 2018)

Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation. - Yuankai Huo; Katherine Swett; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (CoRR, 2018)

Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases. - Ramon Casanova; Ryan T. Barnard; Sarah A. Gaussoin; Santiago Saldana; Kathleen M. Hayden; JoAnn E. Manson; Robert B. Wallace; Stephen R. Rapp; Susan M. Resnick; Mark A. Espeland; Jiu-Chiuan Chen (NeuroImage, 2018)

Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases. - Güray Erus; Jimit Doshi; Yang An; Dimitris Verganelakis; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2018)

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)

3D whole brain segmentation using spatially localized atlas network tiles. - Yuankai Huo; Zhoubing Xu; Yunxi Xiong; Katherine Aboud; Prasanna Parvathaneni; Shunxing Bao; Camilo Bermudez; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (NeuroImage, 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)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

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)

Longitudinal analysis of regional cerebellum volumes during normal aging. - Shuo Han 001; Yang An; Aaron Carass; Jerry L. Prince; 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)

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Zhijian Yang; Ilya M. Nasrallah; Haochang Shou; Junhao Wen 002; Jimit Doshi; Mohamad Habes; Güray Erus; Ahmed Abdulkadir; Susan M. Resnick; David A. Wolk; Christos Davatzikos (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Investigation of the association between cerebral iron content and myelin content in normative aging using quantitative magnetic resonance neuroimaging. - Nikkita Khattar; Curtis Triebswetter; Matthew Kiely; Luigi Ferrucci; Susan M. Resnick; Richard G. Spencer 001; Mustapha Bouhrara (NeuroImage, 2021)

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory. - Lianrui Zuo; Blake E. Dewey; Yihao Liu 003; Yufan He; Scott D. Newsome; Ellen M. Mowry; Susan M. Resnick; Jerry L. Prince; Aaron Carass (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

Disentangling a Single MR Modality. - Lianrui Zuo; Yihao Liu 003; Yuan Xue 002; Shuo Han 001; Murat Bilgel; Susan M. Resnick; Jerry L. Prince; Aaron Carass (DALI@MICCAI, 2022)

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)

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging. - Peiyu Duan; Shuo Han 001; Lianrui Zuo; Yang An; Yihao Liu 003; Ahmed Alshareef; Junghoon Lee; Aaron Carass; Susan M. Resnick; Jerry L. Prince (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)

HACA3: A Unified Approach for Multi-site MR Image Harmonization. - Lianrui Zuo; Yihao Liu 003; Yuan Xue 002; Blake E. Dewey; Murat Bilgel; Ellen M. Mowry; Scott D. Newsome; Peter A. Calabresi; Susan M. Resnick; Jerry L. Prince; Aaron Carass (CoRR, 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)

Differential associations between apolipoprotein E alleles and cerebral myelin content in normative aging. - Curtis Triebswetter; Matthew Kiely; Nikkita Khattar; Luigi Ferrucci; Susan M. Resnick; Richard G. Spencer 001; Mustapha Bouhrara (NeuroImage, 2022)

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. - Peiyu Duan; Yuan Xue 002; Shuo Han 001; Lianrui Zuo; Aaron Carass; Caitlyn Bernhard; Savannah Hays; Peter A. Calabresi; Susan M. Resnick; James S. Duncan; Jerry L. Prince (ISBI, 2023)

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)

Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. - Nancy R. Newlin; Leon Y. Cai; Tianyuan Yao; Derek B. Archer; Kurt G. Schilling; Timothy J. Hohman; Kimberly R. Pechman; Angela L. Jefferson; Andrea T. Shafer; Susan M. Resnick; Bennett A. Landman (Image Processing, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (CoRR, 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 004; 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)

Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory. - C'iana P. Cooper; Andrea T. Shafer; Nicole M. Armstrong; Yang An; Güray Erus; Christos Davatzikos; Luigi Ferrucci; Peter R. Rapp; Susan M. Resnick (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)

HACA3: A unified approach for multi-site MR image harmonization. - Lianrui Zuo; Yihao Liu 003; Yuan Xue 002; Blake E. Dewey; Samuel W. Remedios; Savannah Hays; Murat Bilgel; Ellen M. Mowry; Scott D. Newsome; Peter A. Calabresi; Susan M. Resnick; Jerry L. Prince; et al. (Comput. Medical Imaging Graph., 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)

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. - Colin Birkenbihl; Madison Cuppels; Rory T. Boyle; Hannah M. Klinger; Oliver Langford; Gillian T. Coughlan; Michael J. Properzi; Jasmeer P. Chhatwal; Julie C. Price; Aaron P. Schultz; Dorene M. Rentz; Rebecca E. Amariglio; et al. (Brain Informatics, 2025)