Lihao Liu
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
Unsupervised lung CT image registration via stochastic decomposition of deformation fields
J Zou, Y Song, L Liu, AI Aviles-Rivero, J Qin
Computerized Medical Imaging and Graphics 115, 102397, 2024
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
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
Optimised ProPainter for Video Diminished Reality Inpainting
P Li, L Liu, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2406.02287, 2024
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models
J Liu, J Han, L Liu, AI Aviles-Rivero, C Jiang, Z Liu, H Wang
arXiv preprint arXiv:2405.14338, 2024
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
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
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