| 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, 2023 | 70* | 2023 |
| Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ... Medical image analysis 82, 102605, 2022 | 68 | 2022 |
| Domain specific convolution and high frequency reconstruction based unsupervised domain adaptation for medical image segmentation S Hu, Z Liao, Y Xia MICCAI 2022, 650-659, 2022 | 37 | 2022 |
| Learning from ambiguous labels for lung nodule malignancy prediction Z Liao, Y Xie, S Hu, Y Xia IEEE Transactions on Medical Imaging 41 (7), 1874-1884, 2022 | 33 | 2022 |
| Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation S Hu, Z Liao, Y Xia MICCAI 2023, 2023 | 19 | 2023 |
| ProSFDA: prompt learning based source-free domain adaptation for medical image segmentation S Hu, Z Liao, Y Xia arXiv preprint arXiv:2211.11514, 2022 | 19 | 2022 |
| Modeling human preference and stochastic error for medical image segmentation with multiple annotators Z Liao, S Hu, Y Xie, Y Xia Medical Image Analysis 92, 103028, 2024 | 16* | 2024 |
| Boundary-aware network for kidney tumor segmentation S Hu, J Zhang, Y Xia MICCAI 2020 Workshop - MLMI 2020, 189-198, 2020 | 15 | 2020 |
| Transformer-based Annotation Bias-aware Medical Image Segmentation Z Liao, Y Xie, S Hu, Y Xia MICCAI 2023, 2023 | 9 | 2023 |
| Boundary-Aware Network for Kidney Parsing S Hu, Z Liao, Y Ye, Y Xia MICCAI 2022 Workshop - KiPA 2022, 9-17, 2022 | 5 | 2022 |
| Label propagation for 3D carotid vessel wall segmentation and atherosclerosis diagnosis S Hu, Z Liao, Y Xia arXiv preprint arXiv:2208.13337, 2022 | 2 | 2022 |
| Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation S Hu, Z Liao, Z Liu, Y Xia arXiv preprint arXiv:2405.08270, 2024 | 1 | 2024 |
| Instance-specific Label Distribution Regularization for Learning with Label Noise Z Liao, S Hu, Y Xie, Y Xia arXiv preprint arXiv:2212.08380, 2022 | 1 | 2022 |
| Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification Z Liao, S Hu, Y Zhang, Y Xia arXiv preprint arXiv:2406.12293, 2024 | | 2024 |
| Boundary-Aware Network for Abdominal Multi-Organ Segmentation S Hu, Z Liao, Y Xia arXiv preprint arXiv:2208.13774, 2022 | | 2022 |
