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03/18/2022
SHREC 2021: Classification in cryo-electron tomograms
Cryo-electron tomography (cryo-ET) is an imaging technique that allows t...
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12/10/2021
Boosting Active Learning via Improving Test Performance
Central to active learning (AL) is what data should be selected for anno...
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11/17/2021
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enabl...
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02/24/2021
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...
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11/10/2020
Feedback-Based Dynamic Feature Selection for Constrained Continuous Data Acquisition
Relevant and high-quality data are critical to successful development of...
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11/08/2019
AITom: Open-source AI platform for cryo-electron Tomography data analysis
Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D ...
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09/26/2019
CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering
Feature selection is an important and challenging task in high dimension...
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09/04/2019
Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
Estimating the number of clusters (K) is a critical and often difficult ...
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08/27/2019
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Deep learning model trained by imbalanced data may not work satisfactori...
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05/16/2018
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool f...
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05/12/2018
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching
Cellular Electron CryoTomography (CECT) is a 3D imaging technique that c...
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04/04/2018
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Motivation: Cellular Electron CryoTomography (CECT) is an emerging 3D im...
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02/12/2018
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique...
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01/31/2018
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography
Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule...
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01/31/2018
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms
Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular st...
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06/15/2017