Jane S. Paulsen

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 15

Top Topics

Medical Image Segmentation

Brain Segmentation

Deformation Field

Top Venues

Medical Imaging: Image Processing

Frontiers Neuroinformatics

Publications

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
Novel application of the attention mechanism on medical image harmonization. Medical Imaging: Image Processing (2023)
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
Human brain extraction with deep learning. Medical Imaging: Image Processing (2022)
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
Self-supervised Test-Time Adaptation for Medical Image Segmentation. MLCN@MICCAI (2022)
Peter A. Wijeratne, Eileanoir B. Johnson, Sarah Gregory, Nellie Georgiou-Karistianis, Jane S. Paulsen, Rachael I. Scahill, Sarah J. Tabrizi, Daniel C. Alexander
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. Frontiers Big Data 4 (2021)
Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs. Medical Imaging: Image Processing (2021)
Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
Longitudinal subcortical segmentation with deep learning. Medical Imaging: Image Processing (2021)
Kilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. MICCAI (7) (2020)
Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz
Generalizing MRI Subcortical Segmentation to Neurodegeneration. MLCN/RNO-AI@MICCAI (2020)
Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease. CoRR (2020)
Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease. ISBI (2020)
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
Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connect. 8 (3) (2018)
Sungmin Hong, James Fishbaugh, Morteza Rezanejad, Kaleem Siddiqi, Hans J. Johnson, Jane S. Paulsen, Eun Young Kim, Guido Gerig
Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis. Medical Imaging: Image Processing (2017)
Prasanna Muralidharan, James Fishbaugh, Eun Young Kim, Hans J. Johnson, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher
Bayesian covariate selection in mixed-effects models for longitudinal shape analysis. ISBI (2016)
Ali Ghayoor, Jane S. Paulsen, Regina E. Y. Kim, Hans J. Johnson
Tissue classification of large-scale multi-site MR data using fuzzy k-nearest neighbor method. Medical Imaging: Image Processing (2016)
Jessica L. Forbes, Regina E. Y. Kim, Jane S. Paulsen, Hans J. Johnson
An Open-Source Label Atlas Correction Tool and Preliminary Results on Huntingtons Disease Whole-Brain MRI Atlases. Frontiers Neuroinformatics 10 (2016)
Regina E. Y. Kim, Peg Nopoulos, Jane S. Paulsen, Hans J. Johnson
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 (2015)
Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. MICCAI (3) (2014)
Katherine Koenig, Mark J. Lowe, Deborah L. Harrington, Jian Lin, Sally Durgerian, Lyla Mourany, Jane S. Paulsen, Stephen M. Rao
Functional Connectivity of Primary Motor Cortex Is Dependent on Genetic Burden in Prodromal Huntington Disease. Brain Connect. 4 (7) (2014)
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
MultiCenter Reliability of Diffusion Tensor Imaging. Brain Connect. 2 (6) (2012)
Ronald Pierson, Hans J. Johnson, Gregory Harris, Helen Keefe, Jane S. Paulsen, Nancy Andreasen, Vincent Magnotta
Fully automated analysis using BRAINS: AutoWorkup. NeuroImage 54 (1) (2011)
Peng Cheng, Vincent A. Magnotta, Dee H. Wu, Peg Nopoulos, David J. Moser, Jane S. Paulsen, Ricardo Jorge, Nancy C. Andreasen
Evaluation of the GTRACT diffusion tensor tractography algorithm: A validation and reliability study. NeuroImage 31 (3) (2006)