| Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation Y Liu, Y Tian, Y Chen, F Liu, V Belagiannis, G Carneiro CVPR 2022, 2021 | 219 | 2021 |
| ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification F Liu*, Y Tian*, Y Chen, Y Liu, V Belagiannis, G Carneiro CVPR 2022, 2021 | 100 | 2021 |
| Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images Y Tian, G Pang, F Liu, Y Chen, SH Shin, JW Verjans, R Singh, G Carneiro MICCAI 2021, 128-140, 2021 | 82 | 2021 |
| Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Y Tian, Y Liu, G Pang, F Liu, Y Chen, G Carneiro ECCV-Oral 2022, 2021 | 67 | 2021 |
| Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification F Liu, Y Tian, FR Cordeiro, V Belagiannis, I Reid, G Carneiro MICCAI-MLMI 2021, 2021 | 45 | 2021 |
| Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images Y Tian*, F Liu*, G Pang, Y Chen, Y Liu, JW Verjans, R Singh, G Carneiro Medical Image Analysis 90, 102930, 2023 | 37 | 2023 |
| Automatic segmentation of multiple structures in knee arthroscopy using deep learning Y Jonmohamadi, Y Takeda, F Liu, F Sasazawa, G Maicas, R Crawford, ... IEEE access 8, 51853-51861, 2020 | 32 | 2020 |
| Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder Y Tian, G Pang, Y Liu, C Wang, Y Chen, F Liu, R Singh, JW Verjans, ... International Workshop on Machine Learning in Medical Imaging, 11-21, 2023 | 31 | 2023 |
| Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Y Tian, G Pang, F Liu, Y Liu, C Wang, Y Chen, JW Verjans, G Carneiro MICCAI 2022, 2022 | 23 | 2022 |
| Self-supervised depth estimation to regularise semantic segmentation in knee arthroscopy F Liu, Y Jonmohamadi, G Maicas, AK Pandey, G Carneiro MICCAI 2020, 594-603, 2020 | 18 | 2020 |
| NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification F Liu, Y Chen, Y Tian, Y Liu, C Wang, V Belagiannis, G Carneiro MICCAI 2022, arXiv: 2103.04053, 2022 | 17* | 2022 |
| Learning Support and Trivial Prototypes for Interpretable Image Classification C Wang, Y Liu, Y Chen, F Liu, Y Tian, DJ McCarthy, H Frazer, G Carneiro ICCV 2023, arXiv preprint arXiv:2301.04011, 2023 | 16 | 2023 |
| Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models C Wang, Y Chen, Y Liu, Y Tian, F Liu, DJ McCarthy, M Elliott, H Frazer, ... MICCAI 2022, 14-24, 2022 | 15 | 2022 |
| Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation Y Chen, H Wang, C Wang, Y Tian, F Liu, Y Liu, M Elliott, DJ McCarthy, ... MICCAI 2022, 3-13, 2022 | 14 | 2022 |
| 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training Y Jonmohamadi, S Ali, F Liu, J Roberts, R Crawford, G Carneiro, ... MICCAI 2021, 2021 | 12 | 2021 |
| Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Y Chen, Y Liu, H Wang, F Liu, C Wang, H Frazer, G Carneiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10* | 2024 |
| An interpretable and accurate deep-learning diagnosis framework modelled with fully and semi-supervised reciprocal learning C Wang, Y Chen, F Liu, M Elliott, CF Kwok, C Pena-Solorzano, H Frazer, ... IEEE Transactions on Medical Imaging, 2023 | 10 | 2023 |
| Translation consistent semi-supervised segmentation for 3d medical images Y Liu, Y Tian, C Wang, Y Chen, F Liu, V Belagiannis, G Carneiro IEEE Transactions on Medical Imaging, 2024 | 9 | 2024 |
| BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Y Chen*, F Liu*, H Wang, C Wang, Y Tian, Y Liu, G Carneiro ICCV 2023, arXiv preprint arXiv:2203.01937, 2022 | 9* | 2022 |
| Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification C Wang, Y Chen, F Liu, DJ McCarthy, H Frazer, G Carneiro arXiv preprint arXiv:2312.00092, 2023 | 3 | 2023 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of SurreyVerified email at surrey.ac.uk
