activity
20172023
most citedDeep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms

49 citations · 66 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 1 cited

ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection

Yiming Huang, Guole Liu, Yaoru Luo +1

The scarcity of annotated data, particularly for rare diseases, limits the variability of training data and the range of detectable lesions, presenting a significant challenge for…

cs.CV2022★ 3 cited

Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity

Yunpeng Xiao, Youpeng Zhao, Ge Yang

Morphology of mitochondria plays critical roles in mediating their physiological functions. Accurate segmentation of mitochondria from 3D electron microscopy (EM) images is essenti…

cs.CV2022★ 1 cited

Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks

Yaoru Luo, Guole Liu, Yuanhao Guo +1

Supervised training of deep neural networks (DNNs) by noisy labels has been studied extensively in image classification but much less in image segmentation. Our understanding of th…

physics.bio-ph2021★ 1 cited

Advancing biological super-resolution microscopy through deep learning: a brief review

Tianjie Yang, Yaoru Luo, Wei Ji +1

Super-resolution microscopy overcomes the diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spatio-temporal information on bio…

cs.CV2021

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation

Yaoru Luo, Guole Liu, Yuanhao Guo +1

How deep neural networks (DNNs) learn from noisy labels has been studied extensively in image classification but much less in image segmentation. So far, our understanding of the l…

q-bio.QM2020★ 11 cited

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…

cs.CV2019

Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion

Yuanhao Guo, Fons J. Verbeek, Ge Yang

Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion. Conventional methods require either accurate key point matching…

q-bio.QM2017★ 49 cited

Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms

Min Xu, Xiaoqi Chai, Hariank Muthakana +4

Motivation: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful too…