Daniël Maria Pelt

Orcid: 0000-0002-8253-0851

According to our database1, Daniël Maria Pelt authored at least 19 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations.
J. Imaging, July, 2024

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction.
CoRR, 2024

2023
Multi-stage Deep Learning Artifact Reduction for Computed Tomography.
CoRR, 2023

SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
A tomographic workflow to enable deep learning for X-ray based foreign object detection.
Expert Syst. Appl., 2022

An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Improving reproducibility in synchrotron tomography using implementation-adapted filters.
CoRR, 2021

2020
Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography.
IEEE Trans. Computational Imaging, 2020

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning.
J. Imaging, 2020

A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks.
J. Imaging, 2020

LEAN: graph-based pruning for convolutional neural networks by extracting longest chains.
CoRR, 2020

Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging.
CoRR, 2020

Real-time segmentation for tomographic imaging.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2018
Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks.
J. Imaging, 2018

2016
A method for locally approximating regularized iterative tomographic reconstruction methods.
CoRR, 2016

2015
An exact algorithm for sparse matrix bipartitioning.
J. Parallel Distributed Comput., 2015

2014
Improving Filtered Backprojection Reconstruction by Data-Dependent Filtering.
IEEE Trans. Image Process., 2014

A Medium-Grain Method for Fast 2D Bipartitioning of Sparse Matrices.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks.
IEEE Trans. Image Process., 2013


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