Yu, Lequan

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Yu, L., Chen, H., Dou, Q., Qin, J., & Heng, P.-A. (2017) · IEEE Transactions on Medical Imaging

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 1,140

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V. C., Shi, L., & Heng, P.-A. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesIntracerebral and Subarachnoid Hemorrhage Research

Cited by 679

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Dou, Q., Chen, H., Jin, Y., Yu, L., Qin, J., & Heng, P.-A. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 344

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

Jin, Y., Dou, Q., Chen, H., Yu, L., Qin, J., Fu, C.-W., & Heng, P.-A. (2018) · IEEE Transactions on Medical Imaging

Surgical Simulation and TrainingMedical Image Segmentation Techniques

Cited by 316

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Xia, Y., Liu, F., Yang, D., Cai, J., Yu, L., Zhu, Z., Xu, D., Yuille, A., & Roth, H. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 170

Towards automated semantic segmentation in prenatal volumetric ultrasound

Yang, X., Yu, L., Li, S., Wen, H., Luo, D., Bian, C., Qin, J., Ni, D., & Heng, P.-A. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 115

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

Li, X., Hu, X., Qi, X., Yu, L., Zhao, W., Heng, P.-A., & Xing, L. (2021) · IEEE Transactions on Medical Imaging

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 105

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

Towards Automatic Semantic Segmentation in Volumetric Ultrasound

Yang, X., Yu, L., Li, S., Wang, X., Wang, N., Qin, J., Ni, D., & Heng, P.-A. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 61

Auditing medical multi-agent AI reveals risks of false consensus

Zhu, Y., Gu, L., Wang, Z., Sang, H., Sui, D., Tang, W., Mi, L., Wang, Y., Gao, J., Yao, L., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 17

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

Zhu, Y., He, Z., Hu, H., Zheng, X., Zhang, X., Wang, Z., Gao, J., Ma, L., & Yu, L. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMulti-Agent Systems and Negotiation

Cited by 8

Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics

Zhu, Y., Sui, D., Wang, Z., Hu, X., Gu, L., Qi, Y., Wu, T., Wang, L., Wei, Y., Tang, W., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 3

MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction

Miao, Y., & Yu, L. (2023) · Lecture Notes in Computer Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 1