Evaluation of the GTRACT diffusion tensor tractography algorithm: A validation and reliability study. - Peng Cheng; Vincent A. Magnotta; Dee H. Wu; Peg Nopoulos; David J. Moser; Jane S. Paulsen; Ricardo Jorge; Nancy C. Andreasen (NeuroImage, 2006)

Fully automated analysis using BRAINS: AutoWorkup. - Ronald Pierson; Hans J. Johnson; Gregory Harris; Helen Keefe; Jane S. Paulsen; Nancy Andreasen; Vincent Magnotta (NeuroImage, 2011)

MultiCenter Reliability of Diffusion Tensor Imaging. - Vincent Magnotta; Joy T. Matsui; Dawei Liu; Hans J. Johnson; Jeffrey D. Long; Bradley D. Bolster Jr.; Bryon A. Mueller; Kelvin O. Lim; Susumu Mori; Karl G. Helmer; Jessica A. Turner; Sarah A. J. Reading; et al. (Brain Connect., 2012)

Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. - Prasanna Muralidharan; James Fishbaugh; Hans J. Johnson; Stanley Durrleman; Jane S. Paulsen; Guido Gerig; P. Thomas Fletcher (MICCAI (3), 2014)

Functional Connectivity of Primary Motor Cortex Is Dependent on Genetic Burden in Prodromal Huntington Disease. - Katherine A. Koenig; Mark J. Lowe; Deborah L. Harrington; Jian Lin; Sally Durgerian; Lyla Mourany; Jane S. Paulsen; Stephen M. Rao (Brain Connect., 2014)

Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center Longitudinal Human MRI Analysis Using High Performance/Throughput Computing Resources. - Regina E. Y. Kim; Peg Nopoulos; Jane S. Paulsen; Hans J. Johnson (CLIP@MICCAI, 2015)

Bayesian covariate selection in mixed-effects models for longitudinal shape analysis. - Prasanna Muralidharan; James Fishbaugh; Eun Young Kim; Hans J. Johnson; Jane S. Paulsen; Guido Gerig; P. Thomas Fletcher (ISBI, 2016)

Tissue classification of large-scale multi-site MR data using fuzzy k-nearest neighbor method. - Ali Ghayoor; Jane S. Paulsen; Regina E. Y. Kim; Hans J. Johnson (Image Processing, 2016)

An Open-Source Label Atlas Correction Tool and Preliminary Results on Huntingtons Disease Whole-Brain MRI Atlases. - Jessica L. Forbes; Regina E. Y. Kim; Jane S. Paulsen; Hans J. Johnson (Frontiers Neuroinformatics, 2016)

Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis. - Sungmin Hong; James Fishbaugh; Morteza Rezanejad; Kaleem Siddiqi; Hans J. Johnson; Jane S. Paulsen; Eun Young Kim; Guido Gerig (Image Processing, 2017)

Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. - Flor A. Espinoza; Jessica A. Turner; Victor M. Vergara; Robyn L. Miller; Eva Mennigen; Jingyu Liu 001; Maria B. Misiura; Jennifer Ciarochi; Hans J. Johnson; Jeffrey D. Long; Henry Jeremy Bockholt; Vincent A. Magnotta; et al. (Brain Connect., 2018)

Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease. - Kilian Hett; Hans J. Johnson; Pierrick Coupé; Jane S. Paulsen; Jeffrey D. Long; Ipek Oguz (ISBI, 2020)

Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. - Kilian Hett; Rémi Giraud; Hans J. Johnson; Jane S. Paulsen; Jeffrey D. Long; Ipek Oguz (MICCAI (7), 2020)

Generalizing MRI Subcortical Segmentation to Neurodegeneration. - Hao Li; Huahong Zhang; Dewei Hu; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (MLCN/RNO-AI@MICCAI, 2020)

Longitudinal subcortical segmentation with deep learning. - Hao Li; Huahong Zhang; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2021)

MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs. - Hao Li; Huahong Zhang; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2021)

A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. - Peter A. Wijeratne; Eileanoir B. Johnson; Sarah Gregory; Nellie Georgiou-Karistianis; Jane S. Paulsen; Rachael I. Scahill; Sarah J. Tabrizi; Daniel C. Alexander (Frontiers Big Data, 2021)

Self-supervised Test-Time Adaptation for Medical Image Segmentation. - Hao Li; Han Liu; Dewei Hu; Jiacheng Wang 007; Hans J. Johnson; Omar Sherbini; Francesco Gavazzi; Russell D'Aiello; Adeline Vanderver; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (MLCN@MICCAI, 2022)

Human brain extraction with deep learning. - Hao Li; Qibang Zhu; Dewei Hu; Manasvi R. Gunnala; Hans J. Johnson; Omar Sherbini; Francesco Gavazzi; Russell D'Aiello; Adeline Vanderver; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2022)

Novel application of the attention mechanism on medical image harmonization. - Xing Yao; Ange Lou; Hao Li; Dewei Hu; Daiwei Lu; Han Liu; Jiacheng Wang 007; Zachary A. Stoebner; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2023)