Charudatta Phatak

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 5

Top Topics

Random Sampling

Unsupervised Learning

Electron Microscopy

Top Venues

IEEE Trans. Computational Imaging

Computational Imaging

Publications

Tao Zhou, Mathew J. Cherukara, Charudatta Phatak
High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming. CoRR (2020)
K. Aditya Mohan, Prabhat KC, Charudatta Phatak, Marc De Graef, Charles A. Bouman
Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography. IEEE Trans. Computational Imaging 4 (3) (2018)
Yan Zhang, Xiang Huang, Nicola J. Ferrier, Emine Begum Gulsoy, Charudatta Phatak
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling. CoRR (2018)
Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak
SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks. Computational Imaging (2018)
Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling. CoRR (2017)