Daniël Maria Pelt

27 papers A 1Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2026	J	`jnl`	Efficient Flow Matching for Sparse-View CT Reconstruction. CoRR Jiayang Shi, Lincen Yang, Zhong Li, Tristan van Leeuwen, Daniël Maria Pelt, Kees Joost Batenburg
2024	—	`conf`	From Feature Maps to Few-Shot Cell Segmentation. MOVI@MICCAI Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. CoRR Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. Trans. Mach. Learn. Res. Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations. J. Imaging Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2024	J	`jnl`	SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2023	J	`jnl`	Multi-stage Deep Learning Artifact Reduction for Computed Tomography. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2023	—	`conf`	Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations. MILLanD@MICCAI Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2023	—	`conf`	SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. MLMI@MICCAI (1) Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2022	J	`jnl`	A tomographic workflow to enable deep learning for X-ray based foreign object detection. CoRR Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg
2022	J	`jnl`	A tomographic workflow to enable deep learning for X-ray based foreign object detection. Expert Syst. Appl. Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg
2022	—	`conf`	An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation. MIDL Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2021	J	`jnl`	Improving reproducibility in synchrotron tomography using implementation-adapted filters. CoRR Poulami Somanya Ganguly, Daniël Maria Pelt, Doga Gürsoy, Francesco De Carlo, Kees Joost Batenburg
2020	J	`jnl`	A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks. J. Imaging Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg
2020	J	`jnl`	A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks. CoRR Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg
2020	J	`jnl`	LEAN: graph-based pruning for convolutional neural networks by extracting longest chains. CoRR Richard Schoonhoven, Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography. IEEE Trans. Computational Imaging Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging. CoRR Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	—	`conf`	Real-time segmentation for tomographic imaging. MLSP Richard Schoonhoven, Jan-Willem Buurlage, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning. J. Imaging Mathé T. Zeegers, Daniël Maria Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
2018	J	`jnl`	Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks. J. Imaging Daniël Maria Pelt, Kees Joost Batenburg, James A. Sethian
2016	J	`jnl`	A method for locally approximating regularized iterative tomographic reconstruction methods. CoRR Daniël Maria Pelt, Kees Joost Batenburg
2015	J	`jnl`	An exact algorithm for sparse matrix bipartitioning. J. Parallel Distributed Comput. Daniël Maria Pelt, Rob H. Bisseling
2014	A	`conf`	A Medium-Grain Method for Fast 2D Bipartitioning of Sparse Matrices. IPDPS Daniël Maria Pelt, Rob H. Bisseling
2014	J	`jnl`	Improving Filtered Backprojection Reconstruction by Data-Dependent Filtering. IEEE Trans. Image Process. Daniël Maria Pelt, Kees Joost Batenburg
2013	J	`jnl`	Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks. IEEE Trans. Image Process. Daniël Maria Pelt, Kees Joost Batenburg