Bo Wang
Orcid: 0000-0002-9620-3413Affiliations:
- University of Toronto, Health Network, Toronto, Canada
According to our database1,
Bo Wang
authored at least 62 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Nat. Mac. Intell., 2024
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR, 2024
CoRR, 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.
CoRR, 2024
Integrate Any Omics: Towards genome-wide data integration for patient stratification.
CoRR, 2024
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples.
Nat. Mac. Intell., July, 2023
CoRR, 2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.
CoRR, 2023
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning.
CoRR, 2023
Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat.
CoRR, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
npj Digit. Medicine, 2022
Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
BMC Medical Informatics Decis. Mak., 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Medical Image Anal., 2019
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.
Inf. Fusion, 2019
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.
CoRR, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
PhD thesis, 2017
Vicus: Exploiting local structures to improve network-based analysis of biological data.
PLoS Comput. Biol., 2017
CoRR, 2017
2016
Dynamic label propagation for semi-supervised multi-class multi-label classification.
Pattern Recognit., 2016
Bioinform., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2014
2013
SIAM J. Sci. Comput., 2013
Neurocomputing, 2013
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the British Machine Vision Conference, 2013
2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
2009
Proceedings of the Computer Vision, 2009