Qingchun Liang
According to our database1,
Qingchun Liang
authored at least 9 papers
between 2024 and 2025.
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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
PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset.
CoRR, June, 2025
SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis.
CoRR, March, 2025
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey.
Eng. Appl. Artif. Intell., 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