| 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, ... IEEE transactions on medical imaging, 2020 | 990* | 2020 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation Y Xie, J Zhang, C Shen, Y Xia International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 656 | 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 | 546 | 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, 2019 | 493 | 2019 |
| Medical image classification using synergic deep learning J Zhang, Y Xie, Q Wu, Y Xia Medical image analysis 54, 10-19, 2019 | 403 | 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 | 340 | 2020 |
| 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 | 282 | 2018 |
| DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets J Zhang, Y Xie, Y Xia, C Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 196 | 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 | 181 | 2019 |
| Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual features J Zhang, Y Xia, Y Xie, M Fulham, DD Feng IEEE journal of biomedical and health informatics 22 (5), 1521-1530, 2017 | 127 | 2017 |
| Inter-slice Context Residual Learning for 3D Medical Image Segmentation J Zhang, Y Xie, Y Wang, Y Xia IEEE transactions on medical imaging, 2020 | 117 | 2020 |
| Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. J Zhang, Y Xie, P Zhang, H Chen, Y Xia, C Shen IJCAI 19, 4271-4277, 2019 | 113 | 2019 |
| UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier Y Xie, J Zhang, Y Xia, Q Wu ECCV 2022, 2022 | 83* | 2022 |
| Transferable multi-model ensemble for benign-malignant lung nodule classification on chest CT Y Xie, Y Xia, J Zhang, DD Feng, M Fulham, W Cai Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 83 | 2017 |
| SESV: Accurate medical image segmentation by predicting and correcting errors Y Xie, J Zhang, H Lu, C Shen, Y Xia IEEE transactions on medical imaging 40 (1), 286 - 296, 2021 | 81 | 2021 |
| TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... Medical Image Analysis 97, 103280, 2024 | 77 | 2024 |
| PGL: Prior-guided local self-supervised learning for 3D medical image segmentation Y Xie, J Zhang, Z Liao, Y Xia, C Shen arXiv preprint arXiv:2011.12640, 2020 | 70 | 2020 |
| Skin lesion classification in dermoscopy images using synergic deep learning J Zhang, Y Xie, Q Wu, Y Xia Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 56 | 2018 |
| 3d transunet: Advancing medical image segmentation through vision transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... arXiv preprint arXiv:2310.07781, 2023 | 50 | 2023 |
| UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner Y Ye*, Y Xie*, J Zhang, Z Chen, Y Xia MICCAI 2023 (Early Accept), 2023 | 44 | 2023 |