DaniŽl M. Pelt
Cited by
Cited by
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
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
Fast tomographic reconstruction from limited data using artificial neural networks
DM Pelt, KJ Batenburg
Image Processing, IEEE Transactions on 22 (12), 5238-5251, 2013
Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data
DM Pelt, D GŁrsoy, WJ Palenstijn, J Sijbers, F De Carlo, KJ Batenburg
Journal of Synchrotron Radiation 23 (3), 842-849, 2016
Improving filtered backprojection reconstruction by data-dependent filtering
DM Pelt, KJ Batenburg
Image Processing, IEEE Transactions on 23 (11), 4750-4762, 2014
A medium-grain method for fast 2D bipartitioning of sparse matrices
DM Pelt, RH Bisseling
International Parallel and Distributed Processing Symposium, 2014. IPDPS†…, 2014
TomoBank: a tomographic data repository for computational x-ray science
F De Carlo, D GŁrsoy, DJ Ching, KJ Batenburg, W Ludwig, L Mancini, ...
Measurement Science and Technology 29 (3), 034004, 2018
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
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
Accurately approximating algebraic tomographic reconstruction by filtered backprojection
DM Pelt, KJ Batenburg
Proceedings of The 13th International Meeting on Fully Three-Dimensional†…, 2015
An exact algorithm for sparse matrix bipartitioning
DM Pelt, RH Bisseling
Journal of Parallel and Distributed Computing 85, 79-90, 2015
Machine learning for micro-tomography
DY Parkinson, DM Pelt, T Perciano, D Ushizima, H Krishnan, HS Barnard, ...
Developments in X-Ray Tomography XI 10391, 103910J, 2017
Improved tomographic reconstruction of large-scale real-world data by filter optimization
DM Pelt, V De Andrade
Advanced Structural and Chemical Imaging 2 (1), 17, 2017
Fast Tomographic Reconstruction from Highly Limited Data Using Artificial Neural Networks
DM Pelt, J Sijbers, KJ Batenburg
ICTMS 2013, 2013
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
Ring artifact reduction in synchrotron x-ray tomography through helical acquisition
DM Pelt, DY Parkinson
Measurement Science and Technology 29 (3), 034002, 2018
Fast Neural Network Based X-ray Tomography of Fruit on a Conveyor Belt
E Janssens, DM Pelt, J De Beenhouwer, M van Dael, P Verboven, ...
Chemical Engineering Transactions 44, 181-186, 2015
Matrix Partitioning: Optimal bipartitioning and heuristic solutions.
DM Pelt
On-the-Fly Machine Learning for Improving Image Resolution in Tomography
AA Hendriksen, DM Pelt, WJ Palenstijn, SB Coban, KJ Batenburg
Applied Sciences 9 (12), 2445, 2019
A method for locally approximating regularized iterative tomographic reconstruction methods
DM Pelt, KJ Batenburg
arXiv preprint arXiv:1604.02292, 2016
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Articles 1–20