923 citations · 1.2k across the 30 of their papers we have counts for
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Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework
Wei Lou, Haofeng Li, Guanbin Li +2
Recently deep neural networks, which require a large amount of annotated samples, have been widely applied in nuclei instance segmentation of H\&E stained pathology images. However…
View-Disentangled Transformer for Brain Lesion Detection
Haofeng Li, Junjia Huang, Guanbin Li +5
Deep neural networks (DNNs) have been widely adopted in brain lesion detection and segmentation. However, locating small lesions in 2D MRI slices is challenging, and requires to ba…
Attentive Symmetric Autoencoder for Brain MRI Segmentation
Junjia Huang, Haofeng Li, Guanbin Li +1
Self-supervised learning methods based on image patch reconstruction have witnessed great success in training auto-encoders, whose pre-trained weights can be transferred to fine-tu…
Robust Real-World Image Super-Resolution against Adversarial Attacks
Jiutao Yue, Haofeng Li, Pengxu Wei +2
Recently deep neural networks (DNNs) have achieved significant success in real-world image super-resolution (SR). However, adversarial image samples with quasi-imperceptible noises…
BCNet: Bronchus Classification via Structure Guided Representation Learning
Wenhao Huang, Haifan Gong, Huan Zhang +5
CT-based bronchial tree analysis is essential for diagnosing lung and airway diseases, yet automatic bronchus classification remains challenging because bronchial topology varies s…