A Two-Stage Framework for Compound Figure Separation. - Weixin Jiang; Eric Schwenker; Trevor Spreadbury; Nicola J. Ferrier; Maria K. Y. Chan; Oliver Cossairt (ICIP, 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)

Plot2Spectra: an Automatic Spectra Extraction Tool. - Weixin Jiang; Eric Schwenker; Trevor Spreadbury; Kai Li; Maria K. Y. Chan; Oliver Cossairt (CoRR, 2021)

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)

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)

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)

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)

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, 2023)