1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
Tianyuan Yao, Chang Qu, Jun Long +13
With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more gene…
eess.IV2021
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
Mengqiu Liu, Ying Liu, Yidong Yang +8
Background: Triage of patients is important to control the pandemic of coronavirus disease 2019 (COVID-19), especially during the peak of the pandemic when clinical resources becom…
cs.CV2021★ 1 cited
Compound Figure Separation of Biomedical Images with Side Loss
Tianyuan Yao, Chang Qu, Quan Liu +11
Unsupervised learning algorithms (e.g., self-supervised learning, auto-encoder, contrastive learning) allow deep learning models to learn effective image representations from large…