Wang, Liansheng

The Medical Segmentation Decathlon

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., et al. (2022) · Nature Communications

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1,384

Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports

Zhou, H.-Y., Chen, X., Zhang, Y., Luo, R., Wang, L., & Yu, Y. (2022) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 126

Hybrid graph convolutional network with online masked autoencoder for robust multimodal cancer survival prediction

Hou, W., Lin, C., Yu, L., Qin, J., Yu, R., & Wang, L. (2023) · IEEE Transactions on Medical Imaging

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 74

Deepfakes: A new threat to image fabrication in scientific publications?

Wang, L., Zhou, L., Yang, W., & Yu, R. (2022) · Patterns

Digital Media Forensic DetectionAcademic integrity and plagiarism

Cited by 60

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Ma, Y., Wang, J., Yang, J., & Wang, L. (2024) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 55

TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology

Wang, F.-A., Zhuang, Z., Gao, F., He, R., Zhang, S., Wang, L., Liu, J., & Li, Y. (2024) · Genome Biology

Bioinformatics and Genomic NetworksCancer Genomics and Diagnostics

Cited by 51

Tracing unknown tumor origins with a biological-pathway-based transformer model

Xie, J., Chen, Y., Luo, S., Yang, W., Lin, Y., Wang, L., Ding, X., Tong, M., & Yu, R. (2024) · Cell Reports Methods

Cancer Diagnosis and TreatmentGene expression and cancer classification

Cited by 9