| Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks V Sandfort, K Yan, PJ Pickhardt, RM Summers Scientific reports 9 (1), 16884, 2019 | 670 | 2019 |
| DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning K Yan, X Wang, L Lu, RM Summers Journal of Medical Imaging 5 (3), 036501, 2018 | 538 | 2018 |
| Feature selection and analysis on correlated gas sensor data with recursive feature elimination K Yan, D Zhang Sensors and Actuators B: Chemical, 353–363, 2015 | 528 | 2015 |
| Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization K Yan, L Kou, D Zhang IEEE Transactions on Cybernetics, 0 | 238* | |
| Automated abnormality classification of chest radiographs using deep convolutional neural networks YX Tang, YB Tang, Y Peng, K Yan, M Bagheri, BA Redd, CJ Brandon, ... NPJ Digital Medicine 3 (1), 1-8, 2020 | 210 | 2020 |
| Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database K Yan, X Wang, L Lu, L Zhang, A Harrison, M Bagheri, RM Summers IEEE CVPR, 2018 | 186 | 2018 |
| 3D context enhanced region-based convolutional neural network for end-to-end lesion detection K Yan, M Bagheri, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 143 | 2018 |
| Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction K Yan, D Zhang, D Wu, H Wei, G Lu Biomedical Engineering, IEEE Transactions on 61 (11), 2787 - 2795, 2014 | 138 | 2014 |
| MULAN: multitask universal lesion analysis network for joint lesion detection, tagging, and segmentation K Yan, Y Tang, Y Peng, V Sandfort, M Bagheri, Z Lu, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 103 | 2019 |
| Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network A Teramoto, A Yamada, Y Kiriyama, T Tsukamoto, K Yan, L Zhang, ... Informatics in Medicine Unlocked 16, 100205, 2019 | 99 | 2019 |
| Calibration transfer and drift compensation of e-noses via coupled task learning K Yan, D Zhang Sensors and Actuators B: Chemical 225, 288–297, 2016 | 96 | 2016 |
| Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ... IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020 | 87 | 2020 |
| SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ... IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022 | 82 | 2022 |
| Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology K Yan, Y Peng, V Sandfort, M Bagheri, Z Lu, RM Summers CVPR, 2019 | 72 | 2019 |
| Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers | 72* | |
| ULDor: a universal lesion detector for CT scans with pseudo masks and hard negative example mining YB Tang, K Yan, YX Tang, J Liu, J Xiao, RM Summers 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 70 | 2019 |
| Unsupervised body part regression via spatially self-ordering convolutional neural networks K Yan, L Lu, RM Summers 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 70* | 2018 |
| Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders K Yan, D Zhang IEEE Transactions on Instrumentation and Measurement, 2016 | 69 | 2016 |
| CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 57 | 2018 |
| Improving the transfer ability of prediction models for electronic noses K Yan, D Zhang Sensors and Actuators B: Chemical, 2015 | 57 | 2015 |
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Verified email at alibaba-inc.com
