53 citations · 106 across the 5 of their papers we have counts for
12 papers
SHREC 2021: Classification in cryo-electron tomograms
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot +20
Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes wit…
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Kai Yi, Jianye Pang, Yungeng Zhang +2
Cryo-electron tomography (Cryo-ET) is a 3D imaging technique that enables the systemic study of shape, abundance, and distribution of macromolecular structures in single cells in n…
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du, Haohan Wang, Zhenxi Zhu +4
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool that visualizes the structural and spatial organization of macromolecules at a near-native state in single ce…
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms
Liangyong Yu, Ran Li, Xiangrui Zeng +5
Motivation: Cryo-Electron Tomography (cryo-ET) visualizes structure and spatial organization of macromolecules and their interactions with other subcellular components inside singl…
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Qiqi Xiao, Jiaxu Zou, Muqiao Yang +5
Diabetic Retinopathy (DR) is a leading cause of blindness in working age adults. DR lesions can be challenging to identify in fundus images, and automatic DR detection systems can…
AITom: Open-source AI platform for cryo-electron tomography data analysis
Xiangrui Zeng, Min Xu
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 an…