Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of SteelsGraham Roberts, Yuanyuan Zhu, Simon Y. Haile et al.|Scientific Reports|2019Cited by 173
Radiation-Enhanced Anion Transport in HematiteKayla Yano, Daniel K. Schreiber, Aaron A. Kohnert et al.|Chemistry of Materials|2021Cited by 19
DefectNet – A Deep Convolutional Neural Network for Semantic Segmentation of Crystallographic Defects in Advanced Microscopy ImagesGraham Roberts, Yuanyuan Zhu, Rajat Sainju et al.|Microscopy and Microanalysis|2019Cited by 7
Deep Learning for Automated Quantification of Irradiation Defects in TEM Data: Relating Pixel-level Errors to Defect PropertiesRajat Sainju, Yuanyuan Zhu, Wei‐Ying Chen et al.|Microscopy and Microanalysis|2023Cited by 1
Towards an End-to-end Radiation Defect Quantitative Characterization Workflow Using Advanced Microscopy ImagesRajat Sainju, Yuanyuan Zhu, Graham Roberts et al.|Microscopy and Microanalysis|2020Cited by 0