Lianzhen Zhong
According to our database1,
Lianzhen Zhong authored at least 10 papers
between 2020 and 2026.
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Bibliography
2026
Preoperative Prediction of Esophageal Cancer Survival in CT via Tumor and Lymph Node Context and Geometry Modeling.
IEEE Trans. Medical Imaging, June, 2026
2025
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering.
CoRR, September, 2025
RemixFormer++: A Multi-Modal Transformer Model for Precision Skin Tumor Differential Diagnosis With Memory-Efficient Attention.
IEEE Trans. Medical Imaging, January, 2025
ADMIRE: ADaptive method to enhance Multiple Image REsolutions in text-rich multi-image understanding.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
2024
TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis.
IEEE Trans. Knowl. Data Eng., December, 2024
2022
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images.
Neural Networks, 2022
2021
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients.
IEEE J. Biomed. Health Informatics, 2021
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.
BMC Medical Imaging, 2021
2020
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study.
Sci. China Inf. Sci., 2020