Dilworth Parkinson

Orcid: 0000-0002-1817-0716

According to our database1, Dilworth Parkinson authored at least 24 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Maximum Likelihood Based Phase-Retrieval Using Fresnel Propagation Forward Models With Optional Constraints.
IEEE Trans. Computational Imaging, 2023

tomoCAM: Fast Model-based Iterative Reconstruction via GPU Acceleration and Non-Uniform Fast Fourier Transforms.
CoRR, 2023

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities.
Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022
Towards Data-Informed Motion Artifact Reduction in Quantitative CT Using Piecewise Linear Interpolation.
IEEE Trans. Computational Imaging, 2022

A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory.
CoRR, 2022

Multi-Tissue Analysis Using Synchrotron Radiation Micro-CT Images.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020
Constrained Non-Linear Phase Retrieval for Single Distance X-ray Phase Contrast Tomography.
CoRR, 2020

Interactive Parallel Workflows for Synchrotron Tomography.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images.
Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

Sparse Matrix-Based HPC Tomography.
Proceedings of the Computational Science - ICCS 2020, 2020

Constrained Non-Linear Phase Retrieval for Single Distance Xray Phase Contrast Tomography.
Proceedings of the Computational Imaging XVIII, Burlingame, 2020

2019
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means.
Stat. Anal. Data Min., 2019

Distributed Global Digital Volume Correlation by Optimal Transport.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2019

Evaluating Fiber Detection Models Using Neural Networks.
Proceedings of the Advances in Visual Computing, 2019

2018
Reverse image search for scientific data within and beyond the visible spectrum.
Expert Syst. Appl., 2018

2017
Ripple: Home Automation for Research Data Management.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016
Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


Convolutional neural networks at the interface of physical and digital data.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Fast detection of material deformation through structural dissimilarity.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Workflow management for real-time analysis of lightsource experiments.
Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, 2014

Model-based iterative reconstruction for synchrotron X-ray tomography.
Proceedings of the IEEE International Conference on Acoustics, 2014

Structure recognition from high resolution images of ceramic composites.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014


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