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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
1052019
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
362018
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
312020
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
312019
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, CB Schönlieb
IEEE transactions on neural networks and learning system, 1-13, 2020
232020
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
172022
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
82024
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Liò, CB Schönlieb, AI Aviles-Rivero
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
82022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, CB Schönlieb, AI Aviles-Rivero
International Workshop on Trustworthy Machine Learning for Healthcare, 177-189, 2023
42023
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2303.08113, 2023
42023
TrafficCAM: A versatile dataset for traffic flow segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero
arXiv preprint arXiv:2211.09620, 2022
42022
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
L Liu, C Hong, AI Aviles-Rivero, CB Schönlieb
Annual Conference on Medical Image Understanding and Analysis, 130-138, 2022
32022
Predicting Fluid Intelligence from MRI Images with Encoder-Eecoder Regularization
L Liu, L Yu, S Wang, PA Heng
Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019
32019
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
12022
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
L Zhang, Y Cheng, L Liu, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2403.09136, 2024
2024
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, CB Schönlieb, ...
arXiv preprint arXiv:2311.18839, 2023
2023
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Liò, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2311.10092, 2023
2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Y Yang, S Wang, L Liu, S Hickman, FJ Gilbert, CB Schönlieb, ...
arXiv preprint arXiv:2308.01057, 2023
2023
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
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