2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Penghua Zhai, Enwei Zhu, Baolian Qi +2
Computed tomography (CT) samples with pathological annotations are difficult to obtain. As a result, the computer-aided diagnosis (CAD) algorithms are trained on small datasets (e.…
cs.CV2022★ 2 cited
Learning High-quality Proposals for Acne Detection
Jianwei Zhang, Lei Zhang, Junyou Wang +4
Acne detection is crucial for interpretative diagnosis and precise treatment of skin disease. The arbitrary boundary and small size of acne lesions lead to a significant number of…
cs.CY2021★ 2 cited
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu +13
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess…