| Anatomical invariance modeling and semantic alignment for self-supervised learning in 3d medical image analysis Y Jiang, M Sun, H Guo, X Bai, K Yan, L Lu, M Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 22 | 2023 |
| A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography X Bai, Y Hu, G Gong, Y Yin, Y Xia Biomedical Signal Processing and Control 64, 102246, 2021 | 21 | 2021 |
| Samconvex: Fast discrete optimization for ct registration using self-supervised anatomical embedding and correlation pyramid Z Li, L Tian, TCW Mok, X Bai, P Wang, J Ge, J Zhou, L Lu, X Ye, K Yan, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 12 | 2023 |
| Liver tumor screening and diagnosis in CT with pixel-lesion-patient network K Yan, X Yin, Y Xia, F Wang, S Wang, Y Gao, J Yao, C Li, X Bai, J Zhou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation L Tian, Z Li, F Liu, X Bai, J Ge, L Lu, M Niethammer, X Ye, K Yan, D Jin arXiv preprint arXiv:2311.14986, 2023 | 6 | 2023 |
| Sam++: Enhancing anatomic matching using semantic information and structural inference X Bai, Y Xia arXiv preprint arXiv:2306.13988, 2023 | 4 | 2023 |
| An end-to-end framework for universal lesion detection with missing annotations X Bai, Y Xia 2022 16th IEEE International Conference on Signal Processing (ICSP) 1, 411-415, 2022 | 4 | 2022 |
| Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images X Bai, F Bai, X Huo, J Ge, TCW Mok, Z Li, M Xu, J Zhou, L Lu, D Jin, X Ye, ... arXiv preprint arXiv:2307.03535, 2023 | 3 | 2023 |
| Fully-automated liver tumor localization and characterization from multi-phase mr volumes using key-slice roi parsing: A physician-inspired approach B Lai, Y Wu, X Bai, XY Zhou, P Wang, J Cai, Y Huo, L Huang, Y Xia, ... arXiv preprint arXiv:2012.06964, 2020 | 3 | 2020 |
| Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification X Bai, G Chen, B Ma, C Li, J Zhang, Y Xia IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| UAE: Universal Anatomical Embedding on Multi-modality Medical Images X Bai, F Bai, X Huo, J Ge, J Lu, X Ye, K Yan, Y Xia arXiv preprint arXiv:2311.15111, 2023 | 1* | 2023 |
| SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation F Bai, K Yan, X Bai, X Mao, X Yin, J Zhou, Y Shi, L Lu, MQH Meng International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training X Bai, B Ma, C Li, Y Xia arXiv preprint arXiv:2309.13306, 2023 | | 2023 |
| Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach B Lai, Y Wu, X Bai, XY Zhou, P Wang, J Cai, Y Huo, L Huang, Y Xia, ... International Workshop on PRedictive Intelligence In MEdicine, 47-58, 2021 | | 2021 |
| Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation Z Chen, X Bai, Z Wang, Y Ye, Y Pan, Y Xia MICCAI 2024 FLARE Challenge, 0 | | |
| Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation Task X Bai, Z Chen, S Zhang, Q Liu, X Liu, Y Xia MICCAI 2024 FLARE Challenge, 0 | | |
| Supplementary Materials for Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis Y Jiang, M Sun, H Guo, X Bai, K Yan, L Lu, M Xu | | |
