Follow
Lequan Yu
Title
Cited by
Cited by
Year
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, 2017
11132017
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
950*2018
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
7842019
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
7682016
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
7392016
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
6542016
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
6322018
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
6192017
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
5082017
nnformer: Volumetric medical image segmentation via a 3d transformer
HY Zhou, J Guo, Y Zhang, X Han, L Yu, L Wang, Y Yu
IEEE Transactions on Image Processing, 2023
442*2023
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng
IEEE Transactions on Neural Networks and Learning Systems, 2020
4322020
3D deeply supervised network for automatic liver segmentation from CT volumes
Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
4292016
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ...
IEEE transactions on medical imaging 36 (6), 1231-1249, 2017
4182017
Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images
L Yu, X Yang, H Chen, J Qin, PA Heng
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
4162017
CANet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading
X Li, X Hu, L Yu, L Zhu, CW Fu, PA Heng
IEEE transactions on medical imaging 39 (5), 1483-1493, 2019
3452019
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
2832018
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
2702017
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Q Liu, Q Dou, L Yu, PA Heng
IEEE Transactions on Medical Imaging, 2020
2662020
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
2562019
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
2562017
The system can't perform the operation now. Try again later.
Articles 1–20