Daniël Maria Pelt
Orcid: 0000-0002-8253-0851
According to our database1,
Daniël Maria Pelt
authored at least 18 papers
between 2013 and 2023.
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Bibliography
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
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 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
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
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
J. Parallel Distributed Comput., 2015
2014
IEEE Trans. Image Process., 2014
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
2013
IEEE Trans. Image Process., 2013