Charudatta Phatak

According to our database, Charudatta Phatak authored at least 5 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming.

Tao Zhou, Mathew J. Cherukara, Charudatta Phatak

CoRR, 2020

2018

Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography.

K. Aditya Mohan, Prabhat K. C., Charudatta Phatak, Marc De Graef, Charles A. Bouman

IEEE Trans. Computational Imaging, 2018

U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling.

Yan Zhang, Xiang Huang, Nicola J. Ferrier, Emine Begum Gulsoy, Charudatta Phatak

CoRR, 2018

SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks.

Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak

Proceedings of the Computational Imaging XVI, Burlingame, 2018

2017

Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling.

Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak

CoRR, 2017