3 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2023★ 3 cited
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Jiachen Yao, Yikai Zhang, Songzhu Zheng +3
Noisy labels can significantly affect the performance of deep neural networks (DNNs). In medical image segmentation tasks, annotations are error-prone due to the high demand in ann…
cs.LG2022★ 1 cited
On the Convergence of Optimizing Persistent-Homology-Based Losses
Yikai Zhang, Jiachen Yao, Yusu Wang +1
Topological loss based on persistent homology has shown promise in various applications. A topological loss enforces the model to achieve certain desired topological property. Desp…