Colin B. Hansen

According to our database1, Colin B. Hansen authored at least 16 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Efficient quality control with mixed CT and CTA datasets.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.
Neuroinformatics, 2021

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow.
NeuroImage, 2021

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
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NeuroImage, 2021

From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
The Value of Nullspace Tuning Using Partial Label Information.
CoRR, 2020

PRAGMA: Interactively Constructing Functional Brain Parcellations.
Proceedings of the 31st IEEE Visualization Conference, 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

False positive reduction of vasculature for pulmonary nodule detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Limits to anatomical accuracy of diffusion tractography using modern approaches.
NeuroImage, 2019

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution.
CoRR, 2019

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
CoRR, 2019

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
CoRR, 2018


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