93 citations · 512 across the 21 of their papers we have counts for
6 papers · 1 filter
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Guannan Zhao, Bo Zhou, Kaiwen Wang +2
The convolutional neural network (CNN) has become a powerful tool for various biomedical image analysis tasks, but there is a lack of visual explanation for the machinery of CNNs.…
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography
Chang Liu, Xiangrui Zeng, Kaiwen Wang +2
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells. For systematic reco…
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Yixiu Zhao, Xiangrui Zeng, Qiang Guo +1
Motivation: Cellular Electron CryoTomography (CECT) is an emerging 3D imaging technique that visualizes subcellular organization of single cells at submolecular resolution and in n…
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Chang Liu, Xiangrui Zeng, Ruogu Lin +4
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables anal…
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography
Jialiang Guo, Bo Zhou, Xiangrui Zeng +2
Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule structure inside single cells. Macromolecule classification approaches based on convolutional neural networ…
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms
Bo Zhou, Qiang Guo, Xiangrui Zeng +1
Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular structures at the submolecular resolution in close to the native state. However, due to the high degree of str…