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2020 – today
- 2024
[i6]Waqwoya Abebe, Jan Strube
, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari:
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR abs/2404.06638 (2024)- 2023
- [i5]Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore, Ben Blaiszik, Ayana Ghosh, Maxim A. Ziatdinov, Anees Al-Najjar, Christina Doty, Sarah Akers, Nageswara S. V. Rao, Joshua C. Agar, Steven R. Spurgeon:
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. CoRR abs/2304.02048 (2023) - [i4]Arman H. Ter-Petrosyan, Jenna A Bilbrey, Christina M. Doty, Bethany E. Matthews, Le Wang, Yingge Du, Eric Lang, Khalid Hattar, Steven R. Spurgeon:
Unsupervised segmentation of irradiation-induced order-disorder phase transitions in electron microscopy. CoRR abs/2311.08585 (2023) - 2022
- [i3]Wenkai Fu, Steven R. Spurgeon, Chongmin Wang, Yuyan Shao, Wei Wang, Amra Peles:
Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy. CoRR abs/2205.11407 (2022) - 2021
- [i2]Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data. CoRR abs/2107.10387 (2021) - [i1]Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics. CoRR abs/2109.14772 (2021)
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