Automated systematic evaluation of cryo-EM specimens with SmartScope J Bouvette, Q Huang, AA Riccio, WC Copeland, A Bartesaghi, MJ Borgnia Elife 11, e80047, 2022 | 38 | 2022 |
A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart JK Yu, W Franceschi, Q Huang, F Pashakhanloo, PM Boyle, ... Scientific reports 9 (1), 9238, 2019 | 31 | 2019 |
nextPYP: a comprehensive and scalable platform for characterizing protein variability in situ using single-particle cryo-electron tomography HF Liu, Y Zhou, Q Huang, J Piland, W Jin, J Mandel, X Du, J Martin, ... Nature Methods 20 (12), 1909-1919, 2023 | 28 | 2023 |
Assessment of arrhythmia mechanism and burden of the infarcted ventricles following remuscularization with pluripotent stem cell-derived cardiomyocyte patches using patient … JK Yu, JA Liang, WH Franceschi, Q Huang, F Pashakhanloo, E Sung, ... Cardiovascular research 118 (5), 1247-1261, 2022 | 17 | 2022 |
Accurate detection of proteins in cryo-electron tomograms from sparse labels Q Huang, Y Zhou, HF Liu, A Bartesaghi European Conference on Computer Vision, 644-660, 2022 | 11 | 2022 |
Weakly supervised learning for joint image denoising and protein localization in cryo-electron microscopy Q Huang, Y Zhou, HF Liu, A Bartesaghi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
Pilot study of a smartphone application designed to socially motivate cardiovascular disease patients to improve medication adherence S Fujita, I Pitaktong, GV Steller, V Dadfar, Q Huang, S Banerjee, R Guo, ... Mhealth 4, 1, 2018 | 8 | 2018 |
MiLoPYP: self-supervised molecular pattern mining and particle localization in situ Q Huang, Y Zhou, A Bartesaghi Nature Methods 21 (10), 1863-1872, 2024 | 4 | 2024 |
Joint model for image denoising and detection of proteins imaged by cryo-EM Q Huang, Y Zhou, A Bartesaghi 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2021 | 4 | 2021 |
Multiple-image super-resolution of cryo-electron micrographs based on deep internal learning Q Huang, Y Zhou, HF Liu, A Bartesaghi Biological Imaging 3, e3, 2023 | 2 | 2023 |
Smartscope: Ai-driven grid navigation for high-throughput cryo-em J Bouvette, Q Huang, A Bartesaghi, MJ Borgnia 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2021 | 2 | 2021 |
Joint micrograph denoising and protein localization in cryo-electron microscopy Q Huang, Y Zhou, HF Liu, A Bartesaghi Biological Imaging 4, e4, 2024 | 1 | 2024 |
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning Q Huang, Y Zhou, X Du, R Chen, J Wang, C Rudin, A Bartesaghi arXiv preprint arXiv:2011.11020, 2020 | 1 | 2020 |
Expanding the Reach of Cryo-EM through Open Design Robotics and Remote Screening S Zhang, W Peele, J Bouvette, Q Huang, A Bartesaghi, V Dandey, ... Microscopy and Microanalysis 29 (Supplement_1), 1019-1019, 2023 | | 2023 |
SmartScope: Framework for Autonomous Cryo-EM Imaging J Bouvette, Q Huang, AA Riccio, WC Copeland, A Bartesaghi, MJ Borgnia Microscopy and Microanalysis 28 (S1), 1270-1274, 2022 | | 2022 |