Maria K. Y. Chan

According to our database, Maria K. Y. Chan authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets.

Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola J. Ferrier, Oliver Cossairt, Maria K. Y. Chan

Patterns, November, 2023

2022

Universal machine learning framework for defect predictions in zinc blende semiconductors.

Arun Mannodi-Kanakkithodi, Xiaofeng Xiang, Laura Jacoby, Robert Biegaj, Scott T. Dunham, Daniel R. Gamelin, Maria K. Y. Chan

Patterns, 2022

Machine learning for interpreting coherent X-ray speckle patterns.

Mingren Shen, Dina Sheyfer, Troy David Loeffler, Subramanian K. R. S. Sankaranarayanan, G. Brian Stephenson, Maria K. Y. Chan, Dane Morgan

CoRR, 2022

Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images.

Arun Baskaran, Yulin Lin, Jianguo Wen, Maria K. Y. Chan

CoRR, 2022

Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns.

Joydeep Munshi, Alexander Rakowski, Benjamin H. Savitzky, Steven E. Zeltmann, Jim Ciston, Matthew L. Henderson, Shreyas Cholia, Andrew M. Minor, Maria K. Y. Chan, Colin Ophus

CoRR, 2022

2021

Plot2Spectra: an Automatic Spectra Extraction Tool.

Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Kai Li, Maria K. Y. Chan, Oliver Cossairt

CoRR, 2021

EXSCLAIM! - An automated pipeline for the construction of labeled materials imaging datasets from literature.

Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola J. Ferrier, Oliver Cossairt, Maria K. Y. Chan

CoRR, 2021

A Two-Stage Framework for Compound Figure Separation.

Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola J. Ferrier, Maria K. Y. Chan, Oliver Cossairt

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021