Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image Z Chen, L Xie, Y Chen, Q Zeng, Q ZhuGe, J Shen, C Wen, Y Feng Neurocomputing 488, 657-668, 2022 | 14 | 2022 |
Semi-supervised region-connectivity-based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image L Xie, Z Chen, X Sheng, Q Zeng, J Huang, C Wen, L Wen, G Xie, Y Feng Computers in Biology and Medicine 149, 105972, 2022 | 10 | 2022 |
Cntseg: A multimodal deep-learning-based network for cranial nerves tract segmentation L Xie, J Huang, J Yu, Q Zeng, Q Hu, Z Chen, G Xie, Y Feng Medical Image Analysis 86, 102766, 2023 | 6 | 2023 |
Automatic oculomotor nerve identification based on data‐driven fiber clustering J Huang, M Li, Q Zeng, L Xie, J He, G Chen, J Liang, M Li, Y Feng Human Brain Mapping 43 (7), 2164-2180, 2022 | 4 | 2022 |
Automated identification of the retinogeniculate visual pathway using a high-dimensional tractography atlas Q Zeng, J Huang, J He, S Chen, L Xie, Z Chen, W Guo, S Yao, M Li, M Li, ... IEEE Transactions on Cognitive and Developmental Systems, 2023 | 3 | 2023 |
Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation L Xie, L Yang, Q Zeng, J He, J Huang, Y Feng, E Amelina, M Amelin 2023 42nd Chinese Control Conference (CCC), 7946-7950, 2023 | 2 | 2023 |
A unified global tractography framework for automatic visual pathway reconstruction J He, S Yao, Q Zeng, J Chen, T Sang, L Xie, Y Pan, Y Feng NMR in Biomedicine 36 (7), e4904, 2023 | 2 | 2023 |
Uncertainty-guided transformer for brain tumor segmentation Z Chen, C Peng, W Guo, L Xie, S Wang, Q Zhuge, C Wen, Y Feng Medical & Biological Engineering & Computing 61 (12), 3289-3301, 2023 | 1 | 2023 |
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography L Xie, Q Zeng, H Zhou, G Xie, M Li, J Huang, J Cui, H Chen, Y Feng 2024 IEEE 21st international symposium on biomedical imaging (ISBI), 2024 | | 2024 |
Investigation into white matter microstructure differences in visual training by using an automated fiber tract subclassification segmentation quantification method Q Zeng, J Yu, Q Hu, K Yin, Q Li, J Huang, L Xie, J Wang, C Zhang, J Wang, ... Neuroscience Letters 821, 137574, 2024 | | 2024 |
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation A Diakite, C Li, L Xie, Y Feng, H Han, S Wang arXiv preprint arXiv:2401.01654, 2024 | | 2024 |
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation H Han, C Li, L Xie, Y Feng, A Diakite, S Wang arXiv preprint arXiv:2401.01685, 2024 | | 2024 |
Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains Q Zeng, J Zhang, S Chen, L Xie, J Huang, J He, Y Pan, J Yu, Q Hu, ... 2023 42nd Chinese Control Conference (CCC), 8015-8020, 2023 | | 2023 |
Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation Y Feng, L Xie, J Wang, J He, F Gao arXiv preprint arXiv:2307.02825, 2023 | | 2023 |