| Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search L Fang, D Cunefare, C Wang, RH Guymer, S Li, S Farsiu Biomedical optics express 8 (5), 2732-2744, 2017 | 547 | 2017 |
| Attention to lesion: Lesion-aware convolutional neural network for retinal optical coherence tomography image classification L Fang*, C Wang*, S Li, H Rabbani, X Chen, Z Liu IEEE transactions on medical imaging 38 (8), 1959-1970, 2019 | 216 | 2019 |
| 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 |
| Automatic classification of retinal three-dimensional optical coherence tomography images using principal component analysis network with composite kernels L Fang, C Wang, S Li, J Yan, X Chen, H Rabbani Journal of Biomedical Optics 22 (11), 116011, 2017 | 26 | 2017 |
| 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 | 22 | 2022 |
| Automatic classification of volumetric optical coherence tomography images via recurrent neural network C Wang, Y Jin, X Chen, Z Liu Sensing and Imaging 21 (1), 32, 2020 | 21 | 2020 |
| 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, Student Travel Awards), 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 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 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 | 16 | 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, H Frazer, G Carneiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13* | 2024 |
| BowelNet: Joint semantic-geometric ensemble learning for bowel segmentation from both partially and fully labeled ct images C Wang, Z Cui, J Yang, M Han, G Carneiro, D Shen IEEE Transactions on Medical Imaging 42 (4), 1225-1236, 2022 | 13 | 2022 |
| NVUM: Non-volatile unbiased memory for robust medical image classification F Liu, Y Chen, Y Tian, Y Liu, C Wang, V Belagiannis, G Carneiro International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| BoMD: bag of multi-label descriptors for noisy chest x-ray classification Y Chen, F Liu, H Wang, C Wang, Y Liu, Y Tian, G Carneiro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer HML Frazer, CA Peña-Solorzano, CF Kwok, MS Elliott, Y Chen, C Wang, ... Nature Communications 15 (1), 7525, 2024 | 5 | 2024 |
| 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 | 4 | 2023 |
| Cephalometric Landmark Detection across Ages with Prototypical Network H Wu*, C Wang*, L Mei, T Yang, M Zhu, D Shen, Z Cui International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
| BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations Y Chen, Y Liu, C Wang, M Elliott, CF Kwok, C Peña-Solorzano, Y Tian, ... Medical Image Analysis 96, 103192, 2024 | 3 | 2024 |
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surrey在 surrey.ac.uk 的电子邮件经过验证