Seuraa
Ke Yan
Ke Yan
Staff Algorithm Engineer, Alibaba DAMO Academy
Vahvistettu sähköpostiosoite verkkotunnuksessa alibaba-inc.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
6662019
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
5372018
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
5272015
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization
K Yan, L Kou, D Zhang
IEEE Transactions on Cybernetics, 0
237*
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
2092020
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
1862018
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
1432018
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
1382014
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
1032019
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
982019
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
962016
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
872020
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
812022
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
722019
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
702019
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
692016
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
572018
Improving the transfer ability of prediction models for electronic noses
K Yan, D Zhang
Sensors and Actuators B: Chemical, 2015
572015
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Artikkelit 1–20