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2020 – today
- 2023
[c13]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. Image Processing 2023- 2022
- [c12]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: 32-41 - [c11]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. Image Processing 2022 - 2021
- [j7]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: 662200 (2021) - [c10]Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz:
Longitudinal subcortical segmentation with deep learning. Image Processing 2021 - [c9]Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz:
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs. Image Processing 2021 - 2020
- [c8]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: 1091-1095 - [c7]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: 139-147 - [c6]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: 636-645 - [i1]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 abs/2001.08651 (2020)
2010 – 2019
- 2018
- [j6]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): 166-178 (2018) - 2017
- [c5]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. Image Processing 2017: 101331A - 2016
- [j5]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: 29 (2016) - [c4]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: 656-659 - [c3]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. Image Processing 2016: 97841V - 2015
- [c2]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: 54-61 - 2014
- [j4]Katherine A. 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): 535-546 (2014) - [c1]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: 49-56 - 2012
- [j3]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): 345-355 (2012) - 2011
- [j2]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): 328-336 (2011)
2000 – 2009
- 2006
- [j1]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): 1075-1085 (2006)
Coauthor Index
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