| 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 | 138* | 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 | 37 | 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 | 34 | 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 | 27 | 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 | 25 | 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 | 13 | 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 | 11 | 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 | 5* | 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 | 5 | 2023 |
| 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 | 5 | 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 | 5 | 2022 |
| 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 | 3* | 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 | 3 | 2019 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| Optimised ProPainter for Video Diminished Reality Inpainting P Li, L Liu, CB Schönlieb, AI Aviles-Rivero arXiv preprint arXiv:2406.02287, 2024 | | 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 | | 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 | | 2023 |
| Check for updates 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 Biomedical Image Registration: 10th International Workshop, WBIR 2022 …, 2022 | | 2022 |
