| Deep learning massively accelerates super-resolution localization microscopy W Ouyang, A Aristov, M Lelek, X Hao, C Zimmer Nature biotechnology 36 (5), 460-468, 2018 | 469 | 2018 |
| IoT-based remote pain monitoring system: From device to cloud platform G Yang, M Jiang, W Ouyang, G Ji, H Xie, AM Rahmani, P Liljeberg, ... IEEE journal of biomedical and health informatics 22 (6), 1711-1719, 2017 | 167 | 2017 |
| DeepImageJ: A user-friendly environment to run deep learning models in ImageJ E Gómez-de-Mariscal, C García-López-de-Haro, W Ouyang, L Donati, ... Nature Methods 18 (10), 1192-1195, 2021 | 150 | 2021 |
| ImJoy: an open-source computational platform for the deep learning era W Ouyang, F Mueller, M Hjelmare, E Lundberg, C Zimmer Nature methods 16 (12), 1199-1200, 2019 | 114 | 2019 |
| Analysis of the human protein atlas image classification competition W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ... Nature methods 16 (12), 1254-1261, 2019 | 100 | 2019 |
| Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder L Stenström, D Mahdessian, C Gnann, AJ Cesnik, W Ouyang, ... Molecular systems biology 16 (8), e9469, 2020 | 89 | 2020 |
| Pycro-Manager: open-source software for customized and reproducible microscope control H Pinkard, N Stuurman, IE Ivanov, NM Anthony, W Ouyang, B Li, B Yang, ... Nature methods 18 (3), 226-228, 2021 | 57 | 2021 |
| A computational framework to study sub-cellular RNA localization A Samacoits, R Chouaib, A Safieddine, AM Traboulsi, W Ouyang, ... Nature Communications 9 (1), 4584, 2018 | 55 | 2018 |
| FISH-quant v2: a scalable and modular tool for smFISH image analysis A Imbert, W Ouyang, A Safieddine, E Coleno, C Zimmer, E Bertrand, ... Rna 28 (6), 786-795, 2022 | 49 | 2022 |
| A multi-scale map of cell structure fusing protein images and interactions Y Qin, EL Huttlin, CF Winsnes, ML Gosztyla, L Wacheul, MR Kelly, ... Nature 600 (7889), 536-542, 2021 | 49* | 2021 |
| The imaging tsunami: computational opportunities and challenges W Ouyang, C Zimmer Current Opinion in Systems Biology 4, 105-113, 2017 | 31 | 2017 |
| Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis W Ouyang, F Beuttenmueller, E Gómez-de-Mariscal, C Pape, T Burke, ... bioRxiv, 2022.06. 07.495102, 2022 | 22 | 2022 |
| An Open‐Source Modular Framework for Automated Pipetting and Imaging Applications W Ouyang, RW Bowman, H Wang, KE Bumke, JT Collins, O Spjuth, ... Advanced biology 6 (4), 2101063, 2022 | 18 | 2022 |
| OME-Zarr: a cloud-optimized bioimaging file format with international community support J Moore, D Basurto-Lozada, S Besson, J Bogovic, J Bragantini, EM Brown, ... bioRxiv, 2023.02. 17.528834, 2023 | 13 | 2023 |
| Analysis of the human protein atlas weakly supervised single-cell classification competition T Le, CF Winsnes, U Axelsson, H Xu, J Mohanakrishnan Kaimal, ... Nature Methods 19 (10), 1221-1229, 2022 | 11 | 2022 |
| Super-resolution visualization and modeling of human chromosomal regions reveals cohesin-dependent loop structures X Hao, JJ Parmar, B Lelandais, A Aristov, W Ouyang, C Weber, C Zimmer Genome biology 22 (1), 1-20, 2021 | 10 | 2021 |
| Interactive biomedical segmentation tool powered by deep learning and ImJoy W Ouyang, T Le, H Xu, E Lundberg F1000Research 10, 142, 2021 | 9 | 2021 |
| ShareLoc—an open platform for sharing localization microscopy data W Ouyang, J Bai, MK Singh, C Leterrier, P Barthelemy, SFH Barnett, ... Nature Methods 19 (11), 1331-1333, 2022 | 7* | 2022 |
| Uncovering molecular grammars of intrinsically disordered regions that organize nucleolar fibrillar centers MR King, AZ Lin, KM Ruff, M Farag, W Ouyang, MD Vahey, E Lundberg, ... bioRxiv, 2022.11. 05.515292, 2022 | 7 | 2022 |
| Subcellular mapping of the protein landscape of SARS-CoV-2 infected cells for target-centric drug repurposing (preprint) JM Kaimal, M Tampere, TH Le, U Axelsson, H Xu, H Axelsson, ... | 2* | 2022 |
Emma LundbergAssociate Professor of Bioengineering and Pathology, Stanford UniversityVerified email at scilifelab.se
