Li, Jianqiang

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis

Xu, X., Li, J., Zhu, Z., Zhao, L., Wang, H., Song, C., Chen, Y., Zhao, Q., Yang, J., & Pei, Y. (2024) · Bioengineering

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 242

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses

Liu, B., Madduri, R. K., Sotomayor, B., Chard, K., Lacinski, L., Dave, U. J., Li, J., Liu, C., & Foster, I. T. (2014) · Journal of Biomedical Informatics

Scientific Computing and Data ManagementCloud Computing and Resource Management

Cited by 81

An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases

Dong, D., Fu, G., Li, J., Pei, Y., & Chen, Y. (2022) · Expert Systems with Applications

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 30

Deep Learning Blockchain Integration Framework for Ureteropelvic Junction Obstruction Diagnosis Using Ultrasound Images

Guan, Y., Wen, P., Li, J., Zhang, J., & Xie, X. (2024) · Tsinghua Science and Technology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 22

A computer-aided system for ocular myasthenia gravis diagnosis

Liu, G., Wei, Y., Xie, Y., Li, J., Qiao, L., & Yang, J.-J. (2021) · Tsinghua Science and Technology

Medical Image Segmentation TechniquesOphthalmology and Eye Disorders

Cited by 21