Hans J. Johnson

Orcid: 0000-0001-9513-2660

According to our database1, Hans J. Johnson authored at least 54 papers between 1999 and 2023.

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Bibliography

2023
PigSNIPE: Scalable Neuroimaging Processing Engine for Minipig MRI.
Algorithms, February, 2023

Novel application of the attention mechanism on medical image harmonization.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Leveraging High-Quality Research Data for Ischemic Stroke Lesion Segmentation on Clinical Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Human brain extraction with deep learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigs.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Self-supervised Test-Time Adaptation for Medical Image Segmentation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Longitudinal subcortical segmentation with deep learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
A predictive model for kidney transplant graft survival using machine learning.
CoRR, 2020

Generalizing MRI Subcortical Segmentation to Neurodegeneration.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Robust Automatic Multiple Landmark Detection.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Correction to: SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.
J. Digit. Imaging, 2019

Ensemble Modeling of Neurocognitive Performance Using MRI-Derived Brain Structure Volumes.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

2018
Robust automated constellation-based landmark detection in human brain imaging.
NeuroImage, 2018

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.
J. Digit. Imaging, 2018

Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls.
Brain Connect., 2018

ELM-SOM: A Continuous Self-Organizing Map for Visualization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis.
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.
Frontiers Neuroinformatics, 2016

Tissue classification of large-scale multi-site MR data using fuzzy k-nearest neighbor method.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Comparative study of multimodal intra-subject image registration methods on a publicly available database.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Bayesian covariate selection in mixed-effects models for longitudinal shape analysis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Population Shape Collapse in Large Deformation Registration of MR Brain Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Neuroinformatics and the The Insight ToolKit.
Frontiers Neuroinformatics, 2015

Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center Longitudinal Human MRI Analysis Using High Performance/Throughput Computing Resources.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

2014
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing.
NeuroImage, 2014

DTIPrep: quality control of diffusion-weighted images.
Frontiers Neuroinformatics, 2014

Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
UNC-Utah NA-MIC framework for DTI fiber tract analysis.
Frontiers Neuroinformatics, 2013

Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration.
Frontiers Neuroinformatics, 2013

UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Development of a novel constellation based landmark detection algorithm.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012
MultiCenter Reliability of Diffusion Tensor Imaging.
Brain Connect., 2012

A Unified Image Registration Framework for ITK.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

2011
Fully automated analysis using BRAINS: AutoWorkup.
NeuroImage, 2011

2010
Multi-structure segmentation of multi-modal brain images using artificial neural networks.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

2009
Maximize uniformity summation heuristic (MUSH): a highly accurate simple method for intracranial delineation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008
Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures.
NeuroImage, 2008

2006
Synthesizing average 3D anatomical shapes.
NeuroImage, 2006

Automated brain segmentation using neural networks.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2003
Retrospective Evaluation of Inter-subject Brain Registration.
IEEE Trans. Medical Imaging, 2003

Subcortical, cerebellar, and magnetic resonance based consistent brain image registration.
NeuroImage, 2003

Invertibility and transitivity analysis for nonrigid image registration.
J. Electronic Imaging, 2003

2002
Consistent Landmark and Intensity-based Image Registration.
IEEE Trans. Medical Imaging, 2002

2001
Consistent Image Registration.
IEEE Trans. Medical Imaging, 2001

Evaluating template bias when synthesizing population averages.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Validation of probabilistic anatomical shape atlases.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999
Synthesizing average 3D anatomical shapes using deformable templates.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Midsagittal surface measurement of the head: an assessment of craniofacial asymmetry.
Proceedings of the Medical Imaging 1999: Image Processing, 1999


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