Chronological list of publications


  • Pelt, D. M., & Sethian, J. A. (2018). A mixed-scale dense convolutional neural network for image analysis. Proceedings of the National Academy of Sciences, 115(2), 254-259. [link]
  • Pelt, D. M., Batenburg, K. J., & Sethian, J. A. (2018). Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks. Journal of Imaging 4(11), 128. [link]
  • Pelt, D. M., & Parkinson, D. Y. (2018). Ring artifact reduction in synchrotron x-ray tomography through helical acquisition. Measurement Science and Technology, 29(3), 034002. [link]
  • De Carlo, F., Gürsoy, D., Ching, D. J., Batenburg, K. J., Ludwig W., Mancini, L., Marone, F., Mokso, R., Pelt, D. M., Sijbers, J., & Rivers, M. (2018). TomoBank: a tomographic data repository for computational x-ray science. Measurement Science and Technology, 29(3), 034004. [link]
  • Parkinson, D. Y., Pacold, J. I., Gross, M., McDougall, T. D., Jones, C., Bows, J., Hamilton, I., Smiles, D. E., De Santis, S., Ratti, A., Pelt, D. M., Sethian, J. A., Barnard, H., Peterson, J., Ramirez-Hong, A., MacDowell, A., & Shuh, D. K. (2018). Achieving fast high-resolution 3D imaging by combining synchrotron x-ray microCT, advanced algorithms, and high performance data management. Proc. SPIE 10656, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, 106560S. [link]


  • Pelt, D. M., & Andrade, V. (2017). Improved tomographic reconstruction of large-scale real-world data by filter optimization. Advanced Structural and Chemical Imaging, 2(1), 17. [link]
  • Parkinson, D. Y., Pelt, D. M., Perciano, T., Ushizima, D., Krishnan, H., Barnard, H. S., MacDowell, A. A., & Sethian, J. (2017). Machine learning for micro-tomography. In Developments in X-Ray Tomography XI, p. 103910J. [link]
  • Perciano, T., Ushizima, D., Krishnan, H., Parkinson, D., Larson, N., Pelt, D. M., Bethel, W., Zok F., & Sethian, J. (2017). Insight into 3D micro-CT data: exploring segmentation algorithms through performance metrics. Journal of Synchrotron Radiation, 24(5). [link]
  • Barnard, H. S., Parkinson, D. Y., Mandal, P., MacDowell, A. A., Peterson, J. C., Parks, H., Pelt, D. M., Larson, N. M., Panerai, F., & Mansour, N. N. (2017). Synchrotron micro-tomography with in-situ environments at the advanced light source. In Proceedings of the 3rd International Conference on Tomography of Materials and Structures. [link]


  • Pelt, D. M. (2016). Filter-based reconstruction methods for tomography (Doctoral dissertation). [link]
  • Pelt, D. M., Gürsoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., & Batenburg, K. J. (2016). Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data. Journal of synchrotron radiation, 23(3), pp. 842-849. [link]


  • Pelt, D. M., & Bisseling, R. H. (2015). An exact algorithm for sparse matrix bipartitioning. Journal of Parallel and Distributed Computing, 85, pp. 79-90. [link]
  • Bladt, E., Pelt, D. M., Bals, S., & Batenburg, K. J. (2015). Electron tomography based on highly limited data using a neural network reconstruction technique. Ultramicroscopy, 158, pp. 81-88. [link]
  • Pelt, D. M., & Batenburg, K. J. (2015). Accurately approximating algebraic tomographic reconstruction by filtered backprojection. Proceedings of the 2015 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.
  • Janssens, E., Pelt, D. M., De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., & Sijbers, J. (2015). Fast neural network based X-ray tomography of fruit on a conveyor belt. Chemical Engineering Transactions, 44, 181-186. [link]


  • Pelt, D. M., & Batenburg, K. J. (2014). Improving Filtered Backprojection Reconstruction by Data-Dependent Filtering. Image Processing, IEEE Transactions on, 23(11), pp. 4750-4762. [link]
  • Pelt, D. M., & Bisseling, R. H. (2014). A medium-grain method for fast 2D bipartitioning of sparse matrices. Proceedings IEEE International Parallel & Distributed Processing Symposium 2014, IEEE Press, pp. 529-539. [link]


  • Pelt, D. M., & Batenburg, K. J. (2013). Fast tomographic reconstruction from limited data using artificial neural networks. Image Processing, IEEE Transactions on, 22(12), pp. 5238-5251. [link]
  • Pelt, D. M., Sijbers, J., & Batenburg, K. J. (2013), Fast Tomographic Reconstruction from Highly Limited Data Using Artificial Neural Networks, 1st International Conference on Tomography of Materials and Structures (ICTMS), pp. 109-112. [link]


  • Pelt, D. M. (2010). Matrix Partitioning: Optimal bipartitioning and heuristic solutions. Master thesis. [link]


  • Filion, L., Marechal, M., van Oorschot, B., Pelt, D., Smallenburg, F., & Dijkstra, M. (2009). Efficient method for predicting crystal structures at finite temperature: Variable box shape simulations. Physical review letters, 103(18), 188302. [link]