Yan, Ke

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

Sandfort, V., Yan, K., Pickhardt, P. J., & Summers, R. M. (2019) · Scientific Reports

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 684

Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Yan, K., Wang, X., Lu, L., & Summers, R. M. (2018) · Journal of medical imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 573

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Yan, K., Wang, X., Lu, L., Zhang, L., Harrison, A. P., Bagheri, M., & Summers, R. M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 150

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations

Yan, K., Wang, X., Lu, L., & Summers, R. M. (2017) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 40

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Chao, C.-H., Zhu, Z., Guo, D., Yan, K., Ho, T.-Y., Cai, J., Harrison, A. P., Ye, X., Xiao, J., Yuille, A., et al. (2020) · Lecture Notes in Computer Science

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 29