One-shot learning with attention-guided segmentation in cryo-electron tomography

B Zhou, H Yu, X Zeng, X Yang, J Zhang… - Frontiers in Molecular …, 2021 - frontiersin.org
Cryo-electron Tomography (cryo-ET) generates 3D visualization of cellular organization that
allows biologists to analyze cellular structures in a near-native state with nano resolution …

Limited angle tomography reconstruction: synthetic reconstruction via unsupervised sinogram adaptation

B Zhou, X Lin, B Eck - Information Processing in Medical Imaging: 26th …, 2019 - Springer
Computed Tomography (CT) is commonly used in clinical procedures and limited angle
tomography reconstruction has important applications in diagnostic CT, breast tomography …

Aitom: Open-source ai platform for cryo-electron tomography data analysis

X Zeng, M Xu - arxiv preprint arxiv:1911.03044, 2019 - arxiv.org
Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D visualization of
structural organizations and interactions of subcellular components at near-native state and …

Template-based and template-free approaches in cellular cryo-electron tomography structural pattern mining

X Wu, X Zeng, Z Zhu, X Gao, M Xu - 2019 - repository.kaust.edu.sa
Cryo-electron tomography (Cryo-ET) has made possible the observation of cellular
organelles and macromolecular complexes at nanometer resolution in native conformations …

Structure detection in three-dimensional cellular cryoelectron tomograms by reconstructing two-dimensional annotated tilt series

X Zeng, Z Lin, MR Uddin, B Zhou, C Cheng… - Journal of …, 2022 - liebertpub.com
The revolutionary technique cryoelectron tomography (cryo-ET) enables imaging of cellular
structure and organization in a near-native environment at submolecular resolution, which is …

Fine-grained alignment of cryo-electron subtomograms based on mpi parallel optimization

Y Lü, X Zeng, X Zhao, S Li, H Li, X Gao, M Xu - BMC bioinformatics, 2019 - Springer
Abstract Background Cryo-electron tomography (Cryo-ET) is an imaging technique used to
generate three-dimensional structures of cellular macromolecule complexes in their native …

A survey of deep learning-based methods for cryo-electron tomography data analysis

X Zeng, X Yang, Z Wang, M Xu - State of the Art in Neural Networks and …, 2021 - Elsevier
Over the past 2 years, we have witnessed the emergence of a number of deep learning-
based methods for cryo-electron tomography (cryo-ET) data analysis. As a result of better …

[PDF][PDF] Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss.

X Du, X Zeng, B Zhou, A Singh, M Xu - BMVC, 2019 - researchgate.net
Abstract Cellular Electron Cryo-Tomography (CECT) is a 3D imaging tool that visualizes the
structure and spatial organization of macromolecules at sub-molecular resolution in a near …