Spremljaj
Lequan Yu
Naslov
Navedeno
Navedeno
Leto
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
12232017
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
10732019
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
10022018
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
8122016
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
7852016
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 32, 4036-4045, 2023
778*2023
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
7502018
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
6792016
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
6722017
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
5462017
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
5302020
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
4572017
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
4472016
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
4422017
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
4062019
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
3342020
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
3262018
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
3182017
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Q Liu, L Yu, L Luo, Q Dou, PA Heng
IEEE Transactions on Medical Imaging, 2020
2992020
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
2852019
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