Qingchun Liang

According to our database1, Qingchun Liang authored at least 8 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images.
CoRR, August, 2025

Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey.
Eng. Appl. Artif. Intell., 2025

SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer.
CoRR, 2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival.
CoRR, 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.
CoRR, 2024

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data.
Comput. Methods Programs Biomed., 2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.
Comput. Biol. Medicine, 2024


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