| Deep Learning in Medical Ultrasound Analysis: A Review S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang Engineering 5 (2), 261-275, 2019 | 712 | 2019 |
| Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data W Yan, V Calhoun, M Song, Y Cui, H Yan, S Liu, L Fan, N Zuo, Z Yang, ... EBioMedicine 47, 543-552, 2019 | 138 | 2019 |
| Cr-unet: A composite network for ovary and follicle segmentation in ultrasound images H Li, J Fang, S Liu, X Liang, X Yang, Z Mai, MT Van, T Wang, Z Chen, ... IEEE journal of biomedical and health informatics 24 (4), 974-983, 2019 | 87 | 2019 |
| MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder S Qi, X Yang, L Zhao, VD Calhoun, N Perrone-Bizzozero, S Liu, R Jiang, ... Brain 141 (3), 916-926, 2018 | 80 | 2018 |
| A generic quality control framework for fetal ultrasound cardiac four-chamber planes J Dong, S Liu, Y Liao, H Wen, B Lei, S Li, T Wang IEEE journal of biomedical and health informatics 24 (4), 931-942, 2019 | 70 | 2019 |
| Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method W Yan, S Plis, VD Calhoun, S Liu, R Jiang, TZ Jiang, J Sui 2017 IEEE 27th international workshop on machine learning for signal …, 2017 | 54 | 2017 |
| Linked 4-way multimodal brain differences in schizophrenia in a large Chinese Han population S Liu, H Wang, M Song, L Lv, Y Cui, Y Liu, L Fan, N Zuo, K Xu, Y Du, Q Yu, ... Schizophrenia bulletin 45 (2), 436-449, 2019 | 48 | 2019 |
| Remove appearance shift for ultrasound image segmentation via fast and universal style transfer Z Liu, X Yang, R Gao, S Liu, H Dou, S He, Y Huang, Y Huang, H Luo, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1824-1828, 2020 | 36 | 2020 |
| A schizophrenia-related genetic-brain-cognition pathway revealed in a large Chinese population N Luo, J Sui, J Chen, F Zhang, L Tian, D Lin, M Song, VD Calhoun, Y Cui, ... EBioMedicine 37, 471-482, 2018 | 34 | 2018 |
| Region proposal network with graph prior and IoU-balance loss for landmark detection in 3D ultrasound C Chen, X Yang, R Huang, W Shi, S Liu, M Lin, Y Huang, Y Yang, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020 | 18 | 2020 |
| NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns S Liu, F Ge, L Zhao, T Wang, D Ni, T Liu Medical image analysis 77, 102316, 2022 | 12 | 2022 |
| Joint landmark and structure learning for automatic evaluation of developmental dysplasia of the hip X Hu, L Wang, X Yang, X Zhou, W Xue, Y Cao, S Liu, Y Huang, S Guo, ... IEEE Journal of Biomedical and Health Informatics 26 (1), 345-358, 2021 | 11 | 2021 |
| ARVBNet: real-time detection of anatomical structures in fetal ultrasound cardiac four-chamber planes J Dong, S Liu, T Wang Machine Learning and Medical Engineering for Cardiovascular Health and …, 2019 | 9 | 2019 |
| Artificial Intelligence‐Assisted Ultrasound Diagnosis on Infant Developmental Dysplasia of the Hip Under Constrained Computational Resources B Huang, B Xia, J Qian, X Zhou, X Zhou, S Liu, A Chang, Z Yan, Z Tang, ... Journal of Ultrasound in Medicine 42 (6), 1235-1248, 2023 | 3 | 2023 |
| MosaicNet: A deep-learning-based multi-tile biomedical image stitching method B Zhao, M Song, S Liu, L Sun, W Jiang, H Qian, XY Zhang, Y Zhang, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Fast and Adaptive Construction of Gyral Morphological Networks Based on Morphometric Features of Cortical Surface S Liu, L Cheng, Y Zhang, T Jiang 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Dong NiShenzhen UniversityVerified email at szu.edu.cn