Weimin Li
Orcid: 0000-0003-0985-0311Affiliations:
- West China Hospital, Sichuan University, Chengdu, Sichuan, China
According to our database1,
Weimin Li
authored at least 19 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Classification of Pulmonary Nodules Using Multimodal Feature-Driven Graph Convolutional Networks with Specificity Proficiency.
Adv. Intell. Syst., 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
2024
Database J. Biol. Databases Curation, January, 2024
SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification.
Medical Image Anal., 2024
2023
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
Comput. Methods Programs Biomed., February, 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR, 2023
2022
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images.
IEEE Trans. Medical Imaging, 2022
IEEE J. Biomed. Health Informatics, 2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine, 2022
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021
RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
A Quarter-split Domain-adaptive Network for EGFR Gene Mutation Prediction in Lung Cancer by Standardizing Heterogeneous CT image.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Medical Image Anal., 2020
DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images.
Knowl. Based Syst., 2020
2019
J. Medical Syst., 2019
2017
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017