Bo Wang

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Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoEmail confirmado em utoronto.ca
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkEmail confirmado em uhnresearch.ca
Gary BaderProfessor of Molecular Genetics and Computer Science, The Donnelly Centre, University of TorontoEmail confirmado em utoronto.ca
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoEmail confirmado em ucsd.edu
Serafim BatzoglouSeerEmail confirmado em seer.bio
Wei Shen (沈为)Professor, Shanghai Jiao Tong UniversityEmail confirmado em sjtu.edu.cn
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityEmail confirmado em jhu.edu
Michael BrudnoProfessor of Computer Science, University of Toronto; Chief Data Scientist, UHNEmail confirmado em cs.toronto.edu
Emma PiersonUniversity of California, BerkeleyEmail confirmado em berkeley.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityEmail confirmado em cs.stanford.edu
Marinka ZitnikAssociate Professor, Harvard UniversityEmail confirmado em hms.harvard.edu
Xiang BaiHuazhong University of Science and Technology (HUST)Email confirmado em hust.edu.cn
Marc FiumeUniversity of TorontoEmail confirmado em cs.toronto.edu
Xinggang WangProfessor, Huazhong University of Science and TechnologyEmail confirmado em hust.edu.cn
John K. TsotsosYork University, CanadaEmail confirmado em yorku.ca
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaEmail confirmado em temple.edu
Cong YaoAlibaba DAMO AcademyEmail confirmado em temple.edu
Jiayan JiangFacebook, UCLA, Fudan UniversityEmail confirmado em fb.com
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterEmail confirmado em mskcc.org
Wayne EnrightProfessor of Computer Science, University of TorontoEmail confirmado em cs.utoronto.ca

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Bo Wang

Chief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of Toronto

Email confirmado em vectorinstitute.ai - Página inicial

Machine Learning Computational Biology Computer Vision


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	2216	2019
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	1985	2014
Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024	1537	2024
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	1475	2021
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	1002	2022
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	856	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	732	2017
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	620	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	592	2018
Declutr: Deep contrastive learning for unsupervised textual representations J Giorgi, O Nitski, B Wang, G Bader arXiv preprint arXiv:2006.03659, 2020	562	2020
Network Enhancement: a general method to denoise weighted biological networks B Wang, A Pourshafeie, M Zitnik, J Zhu, CD Bustamante, S Batzoglou, ... Nature Communications 9 (1), 3108, 2018	473	2018
U-mamba: Enhancing long-range dependency for biomedical image segmentation J Ma, F Li, B Wang arXiv preprint arXiv:2401.04722, 2024	452	2024
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020	433	2020
scGPT: toward building a foundation model for single-cell multi-omics using generative AI H Cui, C Wang, H Maan, K Pang, F Luo, N Duan, B Wang Nature Methods 21 (8), 1470-1480, 2024	415	2024
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	312	2022
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	301	2019
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	258	2018
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	205	2020
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification B Wang, Z Tu, JK Tsotsos	205	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	204	2018

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