3 citations · 4 across the 4 of their papers we have counts for
4 papers
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Haitao Gan, Lingchao Fu, Ran Zhou +5
The classification of carotid artery ultrasound images is a crucial means for diagnosing carotid plaques, holding significant clinical relevance for predicting the risk of stroke.…
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu, Haitao Gan, Ming Shi +2
In the field of semi-supervised medical image segmentation, the shortage of labeled data is the fundamental problem. How to effectively learn image features from unlabeled images t…
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
Zhi Yang, Kang Li, Haitao Gan +2
The information diffusion performance of GCN and its variant models is limited by the adjacency matrix, which can lower their performance. Therefore, we introduce a new framework f…
A Safe Semi-supervised Graph Convolution Network
Zhi Yang, Yadong Yan, Haitao Gan +2
In the semi-supervised learning field, Graph Convolution Network (GCN), as a variant model of GNN, has achieved promising results for non-Euclidean data by introducing convolution…