Jane S. Paulsen

22 papers B 6Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Shape matters: Predicting Huntington's disease using progression modelling.
Comput. Methods Programs Biomed.
Mohsen Ghofrani-Jahromi, Susmita Saha, Adeel Razi, Pubu M. Abeyasinghe, Govinda R. Poudel, Jane S. Paulsen, Sarah J. Tabrizi, Nellie Georgiou-Karistianis
2023 B conf
Novel application of the attention mechanism on medical image harmonization.
Image Processing
Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary A. Stoebner, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
2022 B conf
Human brain extraction with deep learning.
Image Processing
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
2022 — conf
Self-supervised Test-Time Adaptation for Medical Image Segmentation.
MLCN@MICCAI
Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
2021 J jnl
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease.
Frontiers Big Data
Peter A. Wijeratne, Eileanoir B. Johnson, Sarah Gregory, Nellie Georgiou-Karistianis, Jane S. Paulsen, Rachael I. Scahill, Sarah J. Tabrizi, Daniel C. Alexander
2021 B conf
Longitudinal subcortical segmentation with deep learning.
Image Processing
Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
2021 B conf
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.
Image Processing
Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
2020 — conf
Generalizing MRI Subcortical Segmentation to Neurodegeneration.
MLCN/RNO-AI@MICCAI
Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
2020 — conf
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease.
MICCAI (7)
Kilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
2020 — conf
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease.
ISBI
Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
2020 J jnl
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease.
CoRR
Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
2018 J jnl
Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls.
Brain Connect.
Flor A. Espinoza, Jessica A. Turner, Victor M. Vergara, Robyn L. Miller, Eva Mennigen, Jingyu Liu, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry Jeremy Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun
2017 B conf
Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis.
Image Processing
Sungmin Hong, James Fishbaugh, Morteza Rezanejad, Kaleem Siddiqi, Hans J. Johnson, Jane S. Paulsen, Eun Young Kim, Guido Gerig
2016 J jnl
An Open-Source Label Atlas Correction Tool and Preliminary Results on Huntingtons Disease Whole-Brain MRI Atlases.
Frontiers Neuroinformatics
Jessica L. Forbes, Regina E. Y. Kim, Jane S. Paulsen, Hans J. Johnson
2016 — conf
Bayesian covariate selection in mixed-effects models for longitudinal shape analysis.
ISBI
Prasanna Muralidharan, James Fishbaugh, Eun Young Kim, Hans J. Johnson, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher
2016 B conf
Tissue classification of large-scale multi-site MR data using fuzzy k-nearest neighbor method.
Image Processing
Ali Ghayoor, Jane S. Paulsen, Regina E. Y. Kim, Hans J. Johnson
2015 — conf
Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center Longitudinal Human MRI Analysis Using High Performance/Throughput Computing Resources.
CLIP@MICCAI
Regina E. Y. Kim, Peg Nopoulos, Jane S. Paulsen, Hans J. Johnson
2014 — conf
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics.
MICCAI (3)
Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher
2014 J jnl
Functional Connectivity of Primary Motor Cortex Is Dependent on Genetic Burden in Prodromal Huntington Disease.
Brain Connect.
Katherine A. Koenig, Mark J. Lowe, Deborah L. Harrington, Jian Lin, Sally Durgerian, Lyla Mourany, Jane S. Paulsen, Stephen M. Rao
2012 J jnl
MultiCenter Reliability of Diffusion Tensor Imaging.
Brain Connect.
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, Mark J. Lowe, Elizabeth H. Aylward, Laura A. Flashman, Greg Bonett, Jane S. Paulsen
2011 J jnl
Fully automated analysis using BRAINS: AutoWorkup.
NeuroImage
Ronald Pierson, Hans J. Johnson, Gregory Harris, Helen Keefe, Jane S. Paulsen, Nancy Andreasen, Vincent Magnotta
2006 J jnl
Evaluation of the GTRACT diffusion tensor tractography algorithm: A validation and reliability study.
NeuroImage
Peng Cheng, Vincent A. Magnotta, Dee H. Wu, Peg Nopoulos, David J. Moser, Jane S. Paulsen, Ricardo Jorge, Nancy C. Andreasen