| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2069 | 2018 |
| Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ... IEEE transactions on medical imaging 40 (3), 879-890, 2020 | 986* | 2020 |
| Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation Y Xie, J Zhang, C Shen, Y Xia Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 611 | 2021 |
| Attention residual learning for skin lesion classification J Zhang, Y Xie, Y Xia, C Shen IEEE transactions on medical imaging 38 (9), 2092-2103, 2019 | 522 | 2019 |
| Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT Y Xie, Y Xia, J Zhang, Y Song, D Feng, M Fulham, W Cai IEEE transactions on medical imaging 38 (4), 991-1004, 2018 | 479 | 2018 |
| Medical image classification using synergic deep learning J Zhang, Y Xie, Q Wu, Y Xia Medical image analysis 54, 10-19, 2019 | 421 | 2019 |
| A mutual bootstrapping model for automated skin lesion segmentation and classification Y Xie, J Zhang, Y Xia, C Shen IEEE transactions on medical imaging 39 (7), 2482-2493, 2020 | 328 | 2020 |
| Robust saliency detection via regularized random walks ranking C Li, Y Yuan, W Cai, Y Xia, D Dagan Feng Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 280 | 2015 |
| Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT Y Xie, J Zhang, Y Xia, M Fulham, Y Zhang Information Fusion 42, 102-110, 2018 | 277 | 2018 |
| Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 220 | 2018 |
| Mutual consistency learning for semi-supervised medical image segmentation Y Wu, Z Ge, D Zhang, M Xu, L Zhang, Y Xia, J Cai Medical Image Analysis 81, 102530, 2022 | 219 | 2022 |
| Multiscale network followed network model for retinal vessel segmentation Y Wu, Y Xia, Y Song, Y Zhang, W Cai Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 207 | 2018 |
| D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation Y Zhou, W Huang, P Dong, Y Xia, S Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2019 | 197 | 2019 |
| Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets J Zhang, Y Xie, Y Xia, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 190 | 2021 |
| Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT Y Xie, J Zhang, Y Xia Medical image analysis 57, 237-248, 2019 | 178 | 2019 |
| NFN+: A novel network followed network for retinal vessel segmentation Y Wu, Y Xia, Y Song, Y Zhang, W Cai Neural Networks 126, 153-162, 2020 | 165 | 2020 |
| Vessel-Net: Retinal vessel segmentation under multi-path supervision Y Wu, Y Xia, Y Song, D Zhang, D Liu, C Zhang, W Cai Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 164 | 2019 |
| Morphology-based multifractal estimation for texture segmentation Y Xia, D Feng, R Zhao IEEE Transactions on Image Processing 15 (3), 614-623, 2006 | 158 | 2006 |
| Fuzzy c-means clustering with weighted image patch for image segmentation Z Ji, Y Xia, Q Chen, Q Sun, D Xia, DD Feng Applied soft computing 12 (6), 1659-1667, 2012 | 152 | 2012 |
| Fuzzy local Gaussian mixture model for brain MR image segmentation Z Ji, Y Xia, Q Sun, Q Chen, D Xia, DD Feng IEEE Transactions on Information Technology in Biomedicine 16 (3), 339-347, 2012 | 149 | 2012 |
Yutong XieAustralian Institute for Machine Learning, University of Adelaide在 adelaide.edu.au 的电子邮件经过验证
