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Machine Learning Pipeline for Segmentation and Defect Identification
  from High Resolution Transmission Electron Microscopy Data

Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

14 January 2020
Catherine K. Groschner
Christina Choi
M. Scott
ArXivPDFHTML

Papers citing "Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data"

4 / 4 papers shown
Title
Self-Supervised Learning with Generative Adversarial Networks for
  Electron Microscopy
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Bashir Kazimi
Karina Ruzaeva
Stefan Sandfeld
46
5
0
28 Feb 2024
Unsupervised segmentation of irradiation$\unicode{x2010}$induced
  order$\unicode{x2010}$disorder phase transitions in electron microscopy
Unsupervised segmentation of irradiation\unicodex2010\unicode{x2010}\unicodex2010induced order\unicodex2010\unicode{x2010}\unicodex2010disorder phase transitions in electron microscopy
Arman H. Ter-Petrosyan
Jenna A. Bilbrey
Christina Doty
Bethany E. Matthews
Le Wang
Yingge Du
E. Lang
Khalid Hattar
Steven Spurgeon
29
0
0
14 Nov 2023
Artificial Intelligence in Material Engineering: A review on
  applications of AI in Material Engineering
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering
Lipichanda Goswami
Manoj Deka
Mohendra Roy
AI4CE
42
19
0
15 Sep 2022
Understanding the Influence of Receptive Field and Network Complexity in
  Neural-Network-Guided TEM Image Analysis
Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis
Katherine Sytwu
Catherine K. Groschner
M. Scott
16
11
0
08 Apr 2022
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