Lequan Yu
Lequan Yu
Postdoctoral Research Fellow, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
H Chen, Q Dou, L Yu, J Qin, PA Heng
NeuroImage 170, 446-455, 2018
449*2018
Automatic detection of cerebral microbleeds from MR images via 3D convolutional neural networks
Q Dou, H Chen, L Yu, L Zhao, J Qin, D Wang, VCT Mok, L Shi, PA Heng
IEEE transactions on medical imaging 35 (5), 1182-1195, 2016
4242016
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
L Yu, H Chen, Q Dou, J Qin, PA Heng
IEEE Transactions on Medical Imaging, 2016
4022016
DCAN: deep contour-aware networks for accurate gland segmentation
H Chen, X Qi, L Yu, PA Heng
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2016
3232016
Multilevel contextual 3-D CNNs for false positive reduction in pulmonary nodule detection
Q Dou, H Chen, L Yu, J Qin, PA Heng
IEEE Transactions on Biomedical Engineering 64 (7), 1558-1567, 2016
3022016
3D deeply supervised network for automated segmentation of volumetric medical images
Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng
Medical image analysis 41, 40-54, 2017
2722017
DCAN: Deep contour-aware networks for object instance segmentation from histology images
H Chen, X Qi, L Yu, Q Dou, J Qin, PA Heng
Medical image analysis 36, 135-146, 2017
2282017
3D deeply supervised network for automatic liver segmentation from CT volumes
Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng
International conference on medical image computing and computer-assisted …, 2016
2142016
Volumetric convnets with mixed residual connections for automated prostate segmentation from 3D MR images.
L Yu, X Yang, H Chen, J Qin, PA Heng
AAAI 17, 36-72, 2017
2002017
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
J Bernal, N Tajkbaksh, FJ Sánchez, BJ Matuszewski, H Chen, L Yu, ...
IEEE transactions on medical imaging 36 (6), 1231-1249, 2017
1492017
Pu-net: Point cloud upsampling network
L Yu, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1312018
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos
L Yu, H Chen, Q Dou, J Qin, PA Heng
IEEE journal of biomedical and health informatics, 2016
972016
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
L Yu, JZ Cheng, Q Dou, X Yang, H Chen, J Qin, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2017
962017
SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network
Y Jin, Q Dou, H Chen, L Yu, J Qin, CW Fu, PA Heng
IEEE transactions on medical imaging 37 (5), 1114-1126, 2017
65*2017
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
L Yu, S Wang, X Li, CW Fu, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
452019
Ec-net: an edge-aware point set consolidation network
L Yu, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the European Conference on Computer Vision (ECCV), 386-402, 2018
432018
Towards automatic semantic segmentation in volumetric ultrasound
X Yang, L Yu, S Li, X Wang, N Wang, J Qin, D Ni, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2017
422017
Fine-grained recurrent neural networks for automatic prostate segmentation in ultrasound images
X Yang, L Yu, L Wu, Y Wang, D Ni, J Qin, PA Heng
arXiv preprint arXiv:1612.01655, 2016
422016
3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images
G Zeng, X Yang, J Li, L Yu, PA Heng, G Zheng
International workshop on machine learning in medical imaging, 274-282, 2017
392017
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
S Wang, L Yu, X Yang, CW Fu, PA Heng
IEEE transactions on medical imaging, 2019
382019
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