Le Lu
Le Lu
Alibaba DAMO Academy, IEEE Fellow, MICCAI Board Member, IEEE SPS Distinguished Industry Speaker
Verified email at - Homepage
Cited by
Cited by
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ...
IEEE transactions on medical imaging 35 (5), 1285-1298, 2016
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
X Wang, Y Peng, L Lu, Z Lu, M Bagheri, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Transunet: Transformers make strong encoders for medical image segmentation
J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou
arXiv preprint arXiv:2102.04306, 2021
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
HR Roth, L Lu, A Farag, HC Shin, J Liu, E Turkbey, RM Summers
18th International Conference on Medical Image Computing and Computer …, 2015
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
RS Holger Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Cherry Kevin ...
IEEE Trans. on Medical Imaging, 1-12, 2015
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
H Roth, L Lu, A Seff, K Cherry, J Liu, S Wang, E Turkbey, RM Summers
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2014, 2014
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
X Wang, Y Peng, L Lu, Z Lu, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2018
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
DeepPap: deep convolutional networks for cervical cell classification
L Zhang, L Lu, I Nogues, RM Summers, S Liu, J Yao
IEEE journal of biomedical and health informatics 21 (6), 1633-1643, 2017
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
HR Roth, L Lu, N Lay, AP Harrison, A Farag, A Sohn, RM Summers
Medical image analysis 45, 94-107, 2018
Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
HC Shin, K Roberts, L Lu, D Demner-Fushman, J Yao, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ...
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
Anatomy-specific classification of medical images using deep convolutional nets
HR Roth, CT Lee, HC Shin, A Seff, L Kim, J Yao, L Lu, RM Summers
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 101-104, 2015
Deep learning and convolutional neural networks for medical image computing
L Lu, Y Zheng, G Carneiro, L Yang
Advances in computer vision and pattern recognition 10, 978-3, 2017
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers
Journal of Machine Learning Research 17 (107), 1-31, 2016
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Y Peng, X Wang, L Lu, M Bagheri, R Summers, Z Lu
AMIA Summits on Translational Science Proceedings 2018, 188, 2018
A bottom-up approach for pancreas segmentation using cascaded superpixels and (deep) image patch labeling
A Farag, L Lu, HR Roth, J Liu, E Turkbey, RM Summers
IEEE Transactions on image processing 26 (1), 386-399, 2016
Deep convolutional networks for pancreas segmentation in CT imaging
HR Roth, A Farag, L Lu, EB Turkbey, RM Summers
Medical Imaging 2015: Image Processing 9413, 378-385, 2015
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, AP Harrison, M Bagheri, RM Summers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
M Zhao, A Jha, Q Liu, BA Millis, A Mahadevan-Jansen, L Lu, BA Landman, ...
Medical Image Analysis 71, 102048, 2021
The system can't perform the operation now. Try again later.
Articles 1–20