Qingchun Liang

According to our database, Qingchun Liang authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images.

Liangrui Pan, Jiadi Luo, Yuxuan Xiao, Chenchen Nie, Xiaoshuai Wu, Songqing Fan, Ling Chu, Manqiu Li, Rongfang He, Zhenyu Zhao, Ruixing Wang, Shulin Liu, Yiyi Liang, Xiang Wang, Qingchun Liang, Shaoliang Peng

CoRR, May, 2026

2025

STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images.

Liangrui Pan, Xiaoyu Li, Guang Zhu, Guanting Li, Ruixin Wang, Jiadi Luo, Yaning Yang, Qingchun Liang, Shaoliang Peng

CoRR, August, 2025

Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey.

Yan Li, Liangrui Pan, Yijun Peng, Xiaoyu Li, Xiang Wang, Limeng Qu, Qiya Song, Qingchun Liang, Shaoliang Peng

Eng. Appl. Artif. Intell., 2025

SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis.

Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GEMIL: A GELU-Enhanced Multiple-Instance Learning Model for Predicting Gene Mutations in Lung Cancer.

Haihua Zhu, Liangrui Pan, Christopher Wang, Jiadi Luo, Qingchun Liang, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

BTDA-MIL: Leveraging Bag-Transformation Augmentation to Boost Multi-Instance Learning for WSI Classification.

Jixiang Xu, Xiaoyu Li, Lele Wang, Jiadi Luo, Tiandong Chen, Qingchun Liang, Bei Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei.

Yijun Peng, Liangrui Pan, Jiadi Luo, Christopher Wang, Yuxuan Xiao, Qingchun Liang, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MP-MIL: Multi-View Multiple Instance Learning with Positional Embedding to Predict PIK3CA Mutation.

Guanting Li, Liangrui Pan, Xiaoyu Li, Jiadi Luo, Qingchun Liang, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer.

Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng

CoRR, 2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival.

Liangrui Pan, Yijun Peng, Yan Li, Yiyi Liang, Liwen Xu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.

Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data.

Liangrui Pan, Xiang Wang, Qingchun Liang, Jiandong Shang, Wenjuan Liu, Liwen Xu, Shaoliang Peng

Comput. Methods Programs Biomed., 2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.

Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng

Comput. Biol. Medicine, 2024