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Daniël M. Pelt
Daniël M. Pelt
Assistant Professor at Leiden University
Verified email at liacs.leidenuniv.nl - Homepage
Title
Cited by
Cited by
Year
A mixed-scale dense convolutional neural network for image analysis
DM Pelt, JA Sethian
Proceedings of the National Academy of Sciences 115 (2), 254-259, 2018
3072018
Noise2Inverse: Self-supervised deep convolutional denoising for tomography
AA Hendriksen, DM Pelt, KJ Batenburg
IEEE Transactions on Computational Imaging 6, 1320-1335, 2020
1552020
Efficient method for predicting crystal structures at finite temperature: Variable box shape simulations
L Filion, M Marechal, B van Oorschot, D Pelt, F Smallenburg, M Dijkstra
Physical review letters 103 (18), 188302, 2009
1552009
Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks
D Pelt, K Batenburg, J Sethian
Journal of Imaging 4 (11), 128, 2018
1362018
Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data
DM Pelt, D Gürsoy, WJ Palenstijn, J Sijbers, F De Carlo, KJ Batenburg
Journal of Synchrotron Radiation 23 (3), 842-849, 2016
1352016
Fast tomographic reconstruction from limited data using artificial neural networks
DM Pelt, KJ Batenburg
Image Processing, IEEE Transactions on 22 (12), 5238-5251, 2013
1262013
TomoBank: a tomographic data repository for computational x-ray science
F De Carlo, D Gürsoy, DJ Ching, KJ Batenburg, W Ludwig, L Mancini, ...
Measurement Science and Technology 29 (3), 034004, 2018
972018
Segmentation of dental cone‐beam CT scans affected by metal artifacts using a mixed‐scale dense convolutional neural network
J Minnema, M van Eijnatten, AA Hendriksen, N Liberton, DM Pelt, ...
Medical physics 46 (11), 5027-5035, 2019
802019
Improving filtered backprojection reconstruction by data-dependent filtering
DM Pelt, KJ Batenburg
Image Processing, IEEE Transactions on 23 (11), 4750-4762, 2014
602014
A medium-grain method for fast 2D bipartitioning of sparse matrices
DM Pelt, RH Bisseling
International Parallel and Distributed Processing Symposium, 2014. IPDPS …, 2014
482014
Pushing the temporal resolution in absorption and Zernike phase contrast nanotomography: enabling fast in situ experiments
S Flenner, M Storm, A Kubec, E Longo, F Döring, DM Pelt, C David, ...
Journal of synchrotron radiation 27 (5), 1339-1346, 2020
452020
Real-time reconstruction and visualisation towards dynamic feedback control during time-resolved tomography experiments at TOMCAT
JW Buurlage, F Marone, DM Pelt, WJ Palenstijn, M Stampanoni, ...
Scientific reports 9 (1), 18379, 2019
402019
Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data
AA Hendriksen, M Bührer, L Leone, M Merlini, N Vigano, DM Pelt, ...
Scientific reports 11 (1), 11895, 2021
392021
Electron tomography based on highly limited data using a neural network reconstruction technique
E Bladt, DM Pelt, S Bals, KJ Batenburg
Ultramicroscopy 158, 81-88, 2015
342015
Insight into 3D micro-CT data: exploring segmentation algorithms through performance metrics
T Perciano, D Ushizima, H Krishnan, D Parkinson, N Larson, DM Pelt, ...
Journal of synchrotron radiation 24 (5), 1065-1077, 2017
262017
Ring artifact reduction in synchrotron x-ray tomography through helical acquisition
DM Pelt, DY Parkinson
Measurement Science and Technology 29 (3), 034002, 2018
252018
Accurately approximating algebraic tomographic reconstruction by filtered backprojection
DM Pelt, KJ Batenburg
Proceedings of The 13th International Meeting on Fully Three-Dimensional …, 2015
252015
Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in Python
AA Hendriksen, D Schut, WJ Palenstijn, N Viganó, J Kim, DM Pelt, ...
Optics Express 29 (24), 40494-40513, 2021
242021
An analysis of the impact of annotation errors on the accuracy of deep learning for cell segmentation
Ş Vădineanu, DM Pelt, O Dzyubachyk, KJ Batenburg
International Conference on Medical Imaging with Deep Learning, 1251-1267, 2022
212022
Machine learning for micro-tomography
DY Parkinson, DM Pelt, T Perciano, D Ushizima, H Krishnan, HS Barnard, ...
Developments in X-Ray Tomography XI 10391, 85-92, 2017
212017
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