Jane S. Paulsen

According to our database, Jane S. Paulsen authored at least 20 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Novel application of the attention mechanism on medical image harmonization.

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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Self-supervised Test-Time Adaptation for Medical Image Segmentation.

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

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

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

MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.

Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Longitudinal subcortical segmentation with deep learning.

Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Generalizing MRI Subcortical Segmentation to Neurodegeneration.

Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

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, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry Jeremy Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun

Brain Connect., 2018

2017

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

Proceedings of the Medical Imaging 2017: Image Processing, 2017

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

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

Proceedings of the Medical Imaging 2016: Image Processing, 2016

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

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

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2012

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, Mark J. Lowe, Elizabeth H. Aylward, Laura A. Flashman, Greg Bonett, Jane S. Paulsen

Brain Connect., 2012

2011

Fully automated analysis using BRAINS: AutoWorkup.

Ronald Pierson, Hans J. Johnson, Gregory Harris, Helen Keefe, Jane S. Paulsen, Nancy Andreasen, Vincent Magnotta

NeuroImage, 2011

2006

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