| 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 | 996* | 2020 |
| CoTr: Efficiently bridging cnn and transformer for 3d medical image segmentation Y Xie, J Zhang, C Shen, Y Xia MICCAI 2021, 2021 | 659 | 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, 2018 | 495 | 2018 |
| Medical image classification using synergic deep learning J Zhang, Y Xie, Q Wu, Y Xia Medical image analysis 54, 10-19, 2019 | 480* | 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 | 339 | 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 CVPR 2021, 2021 | 195 | 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 | 183 | 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 40 (2), 661-672, 2020 | 118 | 2020 |
| Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation J Zhang, Y Xie, P Zhang, H Chen, Y Xia, C Shen IJCAI 2019, 2019 | 113 | 2019 |
| UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier Y Xie, J Zhang, Y Xia, Q Wu ECCV 2022, 2022 | 85* | 2022 |
| 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, 2020 | 83 | 2020 |
| 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 MICCAI 2017, 2017 | 83 | 2017 |
| Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation S Hu, Z Liao, J Zhang, Y Xia IEEE Transactions on Medical Imaging 42 (1), 233 - 244, 2022 | 76* | 2022 |
| 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 |
| 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, 2023 | 44 | 2023 |
| Deep segmentation-emendation model for gland instance segmentation Y Xie, H Lu, J Zhang, C Shen, Y Xia MICCAI, 469-477, 2019 | 41 | 2019 |
| Lung nodule classification by jointly using visual descriptors and deep features Y Xie, J Zhang, S Liu, W Cai, Y Xia Medical Computer Vision and Bayesian and Graphical Models for Biomedical …, 2017 | 41 | 2017 |