Similarity network fusion for aggregating data types on a genomic scale B Wang, AM Mezlini, F Demir, M Fiume, Z Tu, M Brudno, B Haibe-Kains, ... Nature methods 11 (3), 333-337, 2014 | 1763 | 2014 |
Moment matching for multi-source domain adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1751 | 2019 |
Genetic mechanisms of critical illness in COVID-19 E Pairo-Castineira, S Clohisey, L Klaric, AD Bretherick, K Rawlik, D Pasko, ... Nature 591 (7848), 92-98, 2021 | 1331 | 2021 |
Mapping the human genetic architecture of COVID-19 Writing group Writing group leaders Pathak Gita A. 6 Andrews Shea J. 7 Kanai ... Nature 600 (7889), 472-477, 2021 | 741 | 2021 |
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning B Wang, J Zhu, E Pierson, S Batzoglou Nature Methods 14, 414-416, 2017 | 666 | 2017 |
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays A Chen, S Liao, M Cheng, K Ma, L Wu, Y Lai, X Qiu, J Yang, J Xu, S Hao, ... Cell 185 (10), 1777-1792. e21, 2022 | 616 | 2022 |
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities M Zitnik, F Nguyen, B Wang, J Leskovec, A Goldenberg, MM Hoffman Information Fusion 50, 71-91, 2019 | 516 | 2019 |
Deep co-training for semi-supervised image recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille Proceedings of the european conference on computer vision (eccv), 135-152, 2018 | 493 | 2018 |
Declutr: Deep contrastive learning for unsupervised textual representations J Giorgi, O Nitski, B Wang, G Bader arXiv preprint arXiv:2006.03659, 2020 | 470 | 2020 |
Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024 | 460 | 2024 |
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 348 | 2020 |
Single-shot object detection with enriched semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 250 | 2018 |
Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 247 | 2019 |
Whole-genome sequencing reveals host factors underlying critical COVID-19 A Kousathanas, E Pairo-Castineira, K Rawlik, A Stuckey, CA Odhams, ... Nature 607 (7917), 97-103, 2022 | 236 | 2022 |
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification B Wang, Z Tu, JK Tsotsos | 194 | 2013 |
Deep regression forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 183 | 2018 |
Co-transduction for shape retrieval X Bai, B Wang, C Yao, W Liu, Z Tu IEEE Transactions on Image Processing 21 (5), 2747-2757, 2011 | 178 | 2011 |
Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection B Li, SM Clohisey, BS Chia, B Wang, A Cui, T Eisenhaure, LD Schweitzer, ... Nature communications 11 (1), 164, 2020 | 166 | 2020 |
Weakly supervised mitosis detection in breast histopathology images using concentric loss C Li, X Wang, W Liu, LJ Latecki, B Wang, J Huang Medical image analysis 53, 165-178, 2019 | 160 | 2019 |
Applying machine learning in liver disease and transplantation: a comprehensive review A Spann, A Yasodhara, J Kang, K Watt, BO Wang, A Goldenberg, M Bhat Hepatology 71 (3), 1093-1105, 2020 | 156 | 2020 |