Ke Yan
Ke Yan
Senior Researcher, PAII Inc.
在 paii-labs.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2712015
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
1752018
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), 1-9, 2019
1532019
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization
K Yan, L Kou, D Zhang
IEEE Transactions on Cybernetics, 0
132*
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
962014
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
822018
3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection
K Yan, M Bagheri, RM Summers
International Conference on Medical Image Computing and Computer-Assisted …, 2018
792018
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
662016
Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders
K Yan, D Zhang
IEEE Transactions on Instrumentation and Measurement, 2016
452016
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
43*
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
422020
Improving the transfer ability of prediction models for electronic noses
K Yan, D Zhang
Sensors and Actuators B: Chemical, 2015
372015
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
352019
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
International Workshop on Machine Learning in Medical Imaging, 46-54, 2018
352018
Gabor Surface Feature for face recognition
K Yan, Y Chen, D Zhang
Pattern Recognition (ACPR), 2011 First Asian Conference on, 288 - 292, 2011
352011
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
33*2018
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
International Conference on Medical Image Computing and Computer-Assisted …, 2019
322019
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
K Yan, X Wang, L Lu, RM Summers
arXiv preprint arXiv:1710.01766, 2017
292017
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
272019
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
242019
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