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Niels Jeppesen

Observed names: Jeppesen, N, Jeppesen, Niels, N Jeppesen, N. Jeppesen
ORCID: 0000-0001-7844-9180
Observed ORCID: 0000-0001-7844-9180
OpenAlex ID: A5071885633
Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysis
2021 · N. Jeppesen, L.P. Mikkelsen, et al. · Composites Part A Applied Science and Manufacturing · 72
Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor
2020 · N Jeppesen, V A Dahl, et al. · IOP Conference Series Materials Science and Engineering · 28
Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
2022 · Robert M. Auenhammer, Niels Jeppesen, et al. · Composites Science and Technology · 25
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision
2022 · Patrick M. Jensen, Niels Jeppesen, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 23
X-ray computed tomography data structure tensor orientation mapping for finite element models — STXAE
2022 · Robert M. Auenhammer, Niels Jeppesen, et al. · Software Impacts · 14
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Individual fibre inclination segmentation from X-ray computed tomography using principal component analysis
2021 · Filip B Salling, Niels Jeppesen, et al. · Journal of Composite Materials · 13
Sparse Layered Graphs for Multi-Object Segmentation
2020 · Niels Jeppesen, Anders N. Christensen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 11
Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization
2021 · Niels Jeppesen, Patrick M. Jensen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 4
Min-Cut/Max-Flow Problem Instances for Benchmarking
2021 · Jensen, Patrick M., Jeppesen, Niels, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2
Characterization of the Fiber Orientations in Non-Crimp Glass Fiber Reinforced Composites using Structure Tensor
2020 · Jeppesen, N, Dahl, VA, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Can we train a single deep learning model to detect and segment nuclei images acquired with any microscope or staining modality
2018 · ASM Shihavuddin, Florian Gawrilowicz, et al. · 1
Accurate Compression Strength Predictions of Composites for Wind Turbine Blades
2023 · Lars Pilgaard Mikkelsen, Konstantinos Poulios, et al. · Zenodo (CERN European Organization for Nuclear Research)
X-ray computed tomography aided engineering approach for non-crimp fabric reinforced composites [Data set]
2021 · Auenhammer, R.M., Jeppesen, N, et al. · Zenodo (CERN European Organization for Nuclear Research)
Quantifying effects of manufacturing methods on fiber orientation in unidirectional composites using structure tensor analysis
2021 · Jeppesen, N, Mikkelsen, Lars P., et al. · Figshare
Works count: 22
Citation count: 198
H-index: 7
I10-index: 7
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