Mingren Shen

According to our database, Mingren Shen authored at least 8 papers between 2019 and 2022.

Collaborative distances:

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

2022

Query Time Optimized Deep Learning Based Video Inference System.

Mingren Shen, Shuoxuan Dong, Xiuyuan He

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

2021

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, Ruoyu He, Jacob R. C. Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan

CoRR, 2021

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

Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan

CoRR, 2021

A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations.

Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan

CoRR, 2021

2020

Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation.

Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan

CoRR, 2020

Assessing Graph-based Deep Learning Models for Predicting Flash Point.

Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan

CoRR, 2020

2019

Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images.

Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, Martin A. Styner, Mingren Shen, Dong Nie, Nagesh Adluru, Benjamin Yeske, Peter A. Ferrazzano, Andrew L. Alexander

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019