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A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.

, , , , , , , , , , and . BMC Bioinform., 21 (1): 399 (2020)

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Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography., , , and . IJCNN, page 1-8. IEEE, (2019)Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography., , , , and . BMVC, page 271. BMVA Press, (2018)Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms., , , and . Bioinform., 35 (14): i260-i268 (2019)Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss., , , , and . BMVC, page 148. BMVA Press, (2019)Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography., , , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 144-152. Springer, (2018)SHREC 2021: Classification in Cryo-electron Tomograms., , , , , , , , , and 13 other author(s). 3DOR, page 5-17. Eurographics Association, (2021)Efficient Data Collection for Connected Vehicles With Embedded Feedback-Based Dynamic Feature Selection., , and . IEEE Trans. Intell. Veh., 9 (1): 2509-2519 (January 2024)Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization., , , , , , and . BMC Bioinform., 20 (1): 443:1-443:13 (2019)MetaOmics: analysis pipeline and browser-based software suite for transcriptomic meta-analysis., , , , , , , , , and 9 other author(s). Bioinform., 35 (9): 1597-1599 (2019)A novel diver pedal behavior model framework incorporating vehicle and road environment information., and . ACC, page 3480-3485. IEEE, (2016)