Han, Xiao

Transformer-based unsupervised contrastive learning for histopathological image classification

Wang, X., Yang, S., Zhang, J., Wang, M., Zhang, J., Yang, W., Huang, J., & Han, X. (2022) · Medical Image Analysis

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 751

A pathology foundation model for cancer diagnosis and prognosis prediction

Wang, X., Zhao, J., Marostica, E., Yuan, W., Jin, J., Zhang, J., Li, R., Tang, H., Wang, K., Li, Y., et al. (2024) · Nature

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 580

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

Wang, X., Du, Y., Yang, S., Zhang, J., Wang, M., Zhang, J., Yang, W., Huang, J., & Han, X. (2023) · Medical Image Analysis

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 218

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

Wang, X., Yang, S., Zhang, J., Wang, M., Zhang, J., Huang, J., Yang, W., & Han, X. (2021) · Lecture Notes in Computer Science

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 178

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Ye, H., Zhang, J., Liu, S., Han, X., & Yang, W. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 167