| Weakly-supervised video anomaly detection with robust temporal feature magnitude learning Y Tian, G Pang, Y Chen, R Singh, JW Verjans, G Carneiro Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 418 | 2021 |
| 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 | 268 | 2021 |
| Deep One-Class Classification via Interpolated Gaussian Descriptor Y Chen, Y Tian, G Pang, G Carneiro AAAI 2022 - Oral, 2021 | 135* | 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 | 119 | 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 87 | 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 2022 - Oral, 2021 | 81 | 2021 |
| Multi-modal learning with missing modality via shared-specific feature modelling H Wang, Y Chen, C Ma, J Avery, L Hull, G Carneiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 79 | 2023 |
| 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 | 45 | 2023 |
| 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 | 35 | 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, J Verjans, G Carneiro International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
| ADMANI: Annotated digital mammograms and associated non-image datasets HML Frazer, JSN Tang, MS Elliott, KM Kunicki, B Hill, R Karthik, CF Kwok, ... Radiology: Artificial Intelligence 5 (2), e220072, 2022 | 23 | 2022 |
| 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 - Early Accept, 14-24, 2022 | 20 | 2022 |
| Learning support and trivial prototypes for interpretable image classification C Wang, Y Liu, Y Chen, F Liu, Y Tian, D McCarthy, H Frazer, G Carneiro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
| Uncertainty-aware multi-modal learning via cross-modal random network prediction H Wang, J Zhang, Y Chen, C Ma, J Avery, L Hull, G Carneiro European Conference on Computer Vision, 200-217, 2022 | 19 | 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 - Early Accept, 3-13, 2022 | 19 | 2022 |
| 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 | 17 | 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 | 15 | 2024 |
| Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Y Chen, Y Liu, H Wang, F Liu, C Wang, G Carneiro CVPR 2024, 2023 | 13* | 2023 |
| 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 Early Accept, arXiv: 2103.04053, 2021 | 13 | 2021 |
| BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Y Chen, F Liu, Y Tian, Y Liu, G Carneiro ICCV 2023, 2022 | 10 | 2022 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surrey在 surrey.ac.uk 的电子邮件经过验证