1 citations · 1 across the 5 of their papers we have counts for
5 papers
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention
Peng Zhang, Zhihui Lai, Wenting Chen +2
Medical vision-language pre-training (VLP) offers significant potential for advancing medical image understanding by leveraging paired image-report data. However, existing methods…
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation
Peng Zhang, Zhihui Lai, Heng Kong
Confidence-based pseudo-label selection usually generates overly confident yet incorrect predictions, due to the early misleadingness of model and overfitting inaccurate pseudo-lab…
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
Shihuan He, Zhihui Lai, Ruxin Wang +1
Medical image segmentation is a crucial task in medical image analysis, but it can be very challenging especially when there are less labeled data but with large unlabeled data. Co…
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment
Heng Kong, Shuqiang Wang
Mild cognitive impairment(MCI) is a precursor of Alzheimer's disease(AD), and the detection of MCI is of great clinical significance. Analyzing the structural brain networks of pat…
Coupled-Projection Residual Network for MRI Super-Resolution
Chun-Mei Feng, Kai Wang, Shijian Lu +3
Magnetic Resonance Imaging(MRI) has been widely used in clinical application and pathology research by helping doctors make more accurate diagnoses. On the other hand, accurate dia…