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Multi defect detection and analysis of electron microscopy images with
  deep learning

Multi defect detection and analysis of electron microscopy images with deep learning

19 August 2021
Mingren Shen
Guanzhao Li
Dongxian Wu
Yuhan Liu
J. Greaves
Wei Hao
Nathaniel J. Krakauer
Leah Krudy
J. Perez
V. Sreenivasan
Bryan Sanchez
Oigimer Torres
Wei Li
Kevin G. Field
D. Morgan
ArXivPDFHTML

Papers citing "Multi defect detection and analysis of electron microscopy images with deep learning"

5 / 5 papers shown
Title
Deep Learning of Crystalline Defects from TEM images: A Solution for the
  Problem of "Never Enough Training Data"
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Kishan Govind
D. Oliveros
A. Dlouhý
M. Legros
Stefan Sandfeld
23
8
0
12 Jul 2023
Machine learning for classifying and interpreting coherent X-ray speckle
  patterns
Machine learning for classifying and interpreting coherent X-ray speckle patterns
Mingren Shen
D. Sheyfer
T. Loeffler
S. Sankaranarayanan
G. Stephenson
Maria K. Y. Chan
D. Morgan
11
0
0
15 Nov 2022
Performance, Successes and Limitations of Deep Learning Semantic
  Segmentation of Multiple Defects in Transmission Electron Micrographs
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
Ryan Jacobs
Mingren Shen
Yuhan Liu
Wei Hao
Xiaoshan Li
...
Zeming Xie
Zitong Huang
Chao Wang
Kevin G. Field
D. Morgan
17
2
0
15 Oct 2021
Exploring Generative Adversarial Networks for Image-to-Image Translation
  in STEM Simulation
Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
N. Lawrence
Mingren Shen
Ruiqing Yin
Cloris Feng
D. Morgan
GAN
19
2
0
29 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1