| Semi-supervised contrastive learning for label-efficient medical image segmentation X Hu, D Zeng, X Xu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 126 | 2021 |
| Positional contrastive learning for volumetric medical image segmentation D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang, J Zhuang, J Hu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 109 | 2021 |
| How to efficiently adapt large segmentation model (sam) to medical images X Hu, X Xu, Y Shi arXiv preprint arXiv:2306.13731, 2023 | 63 | 2023 |
| A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image Z Yao, X Hu, X Liu, W Xie, Y Dong, H Qiu, Z Chen, Y Shi, X Xu, M Huang, ... International Journal of Computer Assisted Radiology and Surgery 16, 609-617, 2021 | 17 | 2021 |
| Automated facial recognition for Noonan syndrome using novel deep convolutional neural network with additive angular margin loss H Yang, XR Hu, L Sun, D Hong, YY Zheng, Y Xin, H Liu, MY Lin, L Wen, ... Frontiers in Genetics 12, 669841, 2021 | 14 | 2021 |
| Conditional diffusion models for weakly supervised medical image segmentation X Hu, YJ Chen, TY Ho, Y Shi International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 13 | 2023 |
| Ame-cam: Attentive multiple-exit cam for weakly supervised segmentation on mri brain tumor YJ Chen, X Hu, Y Shi, TY Ho International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Unsupervised feature clustering improves contrastive representation learning for medical image segmentation Y Zhang, X Hu, N Sapkota, Y Shi, DZ Chen 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 6 | 2022 |
| Improving machine reading comprehension through a simple masked-training scheme X Yao, J Ma, X Hu, J Yang, YF Li Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 …, 2023 | 3 | 2023 |
| Context-guided triple matching for multiple choice question answering X Yao, J Ma, X Hu, J Liu, H Wang, G Huang, J Yang, W Li 2023 IEEE Smart World Congress (SWC), 1-8, 2023 | 3 | 2023 |
| Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation X Hu, C Wang, Y Shi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Seeing the wood for the trees: a contrastive regularization method for the low-resource knowledge base question answering S Mei, X Hu, X Yao, J Yang, Y Guo Findings of the Association for Computational Linguistics: NAACL 2022, 1085-1094, 2022 | 3 | 2022 |
| Contrastive learning with synthetic positives D Zeng, Y Wu, X Hu, X Xu, Y Shi European Conference on Computer Vision, 430-447, 2024 | 2 | 2024 |
| Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network J Liang, J Zhou, X Hu, H Luo, G Cao, L Liu, K Xiao Journal of Imaging 9 (11), 251, 2023 | 2 | 2023 |
| Towards Robust Token Embeddings for Extractive Question Answering X Yao, J Ma, X Hu, J Yang, Y Guo, J Liu International Conference on Web Information Systems Engineering, 82-96, 2023 | 2 | 2023 |
| Joint extraction of biomedical entities and relations based on decomposition and recombination strategy Q Zhu, C Hong, B Wang, X Hu, J Yang, J Liu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Killing Many Birds with One Stone: Single-Source to Multiple-Target Domain Adaptation for Extractive Question Answering X Yao, J Ma, X Hu, H Wang, G Huang, L Zhang, J Yang, W Li 2023 IEEE Smart World Congress (SWC), 1-8, 2023 | 1 | 2023 |
| Joint clinical data and CT image based prognosis: A case study on postoperative pulmonary venous obstruction prediction X Hu, Z Yao, F Liu, W Xie, H Qiu, H Dong, Q Jia, M Huang, J Zhuang, X Xu, ... Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020 | 1 | 2020 |
| Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning X Hu, D Zeng, Y Wu, X Li, Y Shi 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations X Yao, R He, X Hu, J Yang, Y Guo, Z Huang 2023 IEEE International Conference on Big Data (BigData), 1299-1307, 2023 | | 2023 |
Yiyu ShiFull Professor, University of Notre DameVahvistettu sähköpostiosoite verkkotunnuksessa nd.edu