Qingchun Liang

14 papers A* 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey. Eng. Appl. Artif. Intell. Yan Li, Liangrui Pan, Yijun Peng, Xiaoyu Li, Xiang Wang, Limeng Qu, Qiya Song, Qingchun Liang, Shaoliang Peng
2025	—	`conf`	BTDA-MIL: Leveraging Bag-Transformation Augmentation to Boost Multi-Instance Learning for WSI Classification. BIBM Jixiang Xu, Xiaoyu L, Lele Wang, Jiadi Luo, Tiandong Chen, Qingchun Liang, Bei Yang
2025	—	`conf`	GEMIL: A GELU-Enhanced Multiple-Instance Learning Model for Predicting Gene Mutations in Lung Cancer. BIBM Haihua Zhu, Liangrui Pan, Christopher Wang, Jiadi Luo, Qingchun Liang, Shaoliang Peng
2025	—	`conf`	MP-MIL: Multi-View Multiple Instance Learning with Positional Embedding to Predict PIK3CA Mutation. BIBM Guanting Li, Liangrui Pan, Xiaoyu Li, Jiadi Luo, Qingchun Liang, Shaoliang Peng
2025	A*	`conf`	SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. IJCAI Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng
2025	J	`jnl`	SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. CoRR Liangrui Pan, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, Shaoliang Peng
2025	J	`jnl`	STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images. CoRR Liangrui Pan, Xiaoyu Li, Guang Zhu, Guanting Li, Ruixin Wang, Jiadi Luo, Yaning Yang, Qingchun Liang, Shaoliang Peng
2025	—	`conf`	SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei. BIBM Yijun Peng, Liangrui Pan, Jiadi Luo, Christopher Wang, Yuxuan Xiao, Qingchun Liang, Shaoliang Peng
2024	J	`jnl`	DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data. Comput. Methods Programs Biomed. Liangrui Pan, Xiang Wang, Qingchun Liang, Jiandong Shang, Wenjuan Liu, Liwen Xu, Shaoliang Peng
2024	J	`jnl`	FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival. CoRR Liangrui Pan, Yijun Peng, Yan Li, Yiyi Liang, Liwen Xu, Qingchun Liang, Shaoliang Peng
2024	J	`jnl`	Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer. CoRR Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng
2024	J	`jnl`	Opportunities and challenges in the application of large artificial intelligence models in radiology. CoRR Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng
2024	J	`jnl`	SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. Comput. Biol. Medicine Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng
2024	J	`jnl`	SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. CoRR Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng