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Lihao Liu
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Multi-task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
L Liu, Q Dou, H Chen, J Qin, PA Heng
IEEE transactions on medical imaging 39 (3), 718-728, 2019
522019
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis
L Liu, Q Dou, H Chen, IE Olatunji, J Qin, PA Heng
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
272018
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
L Liu, X Hu, L Zhu, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
202019
Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation
L Liu, X Hu, L Zhu, CW Fu, J Qin, PA Heng
IEEE transactions on medical imaging 39 (9), 2806-2817, 2020
132020
Contrastive registration for unsupervised medical image segmentation
L Liu, AI Avilés-Rivero, CB Schönlieb
arXiv preprint arXiv:2011.08894, 2020
92020
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation
L Liu, Z Huang, P Liò, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2203.05684, 2022
42022
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
L Liu, C Hong, AI Aviles-Rivero, CB Schönlieb
arXiv preprint arXiv:2203.00157, 2022
2022
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
L Liu, Z Huang, P Liò, CB Schönlieb, AI Aviles-Rivero
International Workshop on Biomedical Image Registration, 190-193, 2022
2022
Deformable Lung CT Registration by Decomposing Large Deformation
J Zou, L Liu, Y Song, KS Choi, J Qin
International Workshop on Biomedical Image Registration, 185-189, 2022
2022
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