Daniël M. Pelt

A mixed-scale dense convolutional neural network for image analysis

Daniël M. Pelt, James A. Sethian · Proceedings of the National Academy of Sciences · 2017 · 280 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Efficient Method for Predicting Crystal Structures at Finite Temperature: Variable Box Shape Simulations

Laura Filion, Matthieu Maréchal, Bas van Oorschot et al. · Physical Review Letters · 2009 · 126 citations

Engineering, Efficient Method, Binary Lennard-jones Mixtures +21

Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data

Daniël M. Pelt, Doğa Gürsoy, Willem Jan Palenstijn et al. · Journal of Synchrotron Radiation · 2016 · 124 citations · Full text

Computed Tomography, Image Reconstruction, Engineering +21

Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks

Daniël M. Pelt, Kees Joost Batenburg, James A. Sethian · Journal of Imaging · 2018 · 122 citations · Full text

Computed Tomography, Image Reconstruction, Convolutional Neural Network +17

Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks

Daniël M. Pelt, Kees Joost Batenburg · IEEE Transactions on Image Processing · 2013 · 119 citations · Full text

Computed Tomography, Image Reconstruction, Engineering +20