科研转化的相关产品
超声多普勒胎儿监护仪，注册号：粤械注准 20202180011，2020 年。
彩色多普勒超声系统，注册号：粤械注准 20232060110，2023 年。
在国际顶级会议MICCAI组织的挑战赛
Bai, J., Lekadir, K., Ni, D., Slimani, S., Campello, V. M., Ohene-Botwe, B., Lu, Y., Chen, G., Hou, H., Qiu, D., & Zhou, Z. (2024). Intrapartum Ultrasound Grand Challenge 2024. 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). Zenodo. https://doi.org/10.5281/zenodo.10979813
Bai, J., Ou, Z., Lu, Y., Ni, D., & Chen, G., (2023). Pubic Symphysis-Fetal Head Segmentation from Transperineal Ultrasound Images. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023 (MICCAI 2023). Zenodo. https://doi.org/10.5281/zenodo.7861699
代表性的学术论文
Bai J, Zhu Z, et al. A Framework for the Right Atrial Segmentation Incorporating Multi-Scale Information. IEEE Transactions on Medical Imaging. (In Press)(医学图像处理两本顶刊之一,中国人工智能学会推荐 CCF A )
Bai J, Zhou Z, Ou Z, et al. PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Med Image Anal. Published online September 21, 2024. doi:10.1016/j.media.2024.103353(医学图像处理两本顶刊之一,中国人工智能学会推荐 CCF B)
Jiang J, Wang H, Bai J, et al. Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2024: 448-458. (医学图像处理顶会，中国计算机学会推荐 CCF B)
Zhao, J., Sharma, R., Kalyanasundaram, A., Kennelly, J., Bai, J., Li, N., Panfilov, A., & Fedorov, V. V. (2023). Mechanistic insight into the functional role of human sinoatrial node conduction pathways and pacemaker compartments heterogeneity: A computer model analysis. PLoS computational biology, 19(12), e1011708. (计算系统生物学领域顶刊，中国计算机学会推荐 CCF B)
Bai, J., Lo, A., Gladding, P. A., Stiles, M. K., Fedorov, V. V., & Zhao, J. (2020). In silico investigation of the mechanisms underlying atrial fibrillation due to impaired Pitx2. PLoS computational biology, 16(2), e1007678. (计算系统生物学领域顶刊，中国计算机学会推荐 CCF B)
Bai, J., Wang W, et al. Bai, J., Lo, A., Gladding, P. A., Stiles, M. K., Fedorov, V. V., & Zhao, J. (2024).A Novel Pipeline for Identifying Gender-Specific Class III Antiarrhythmic Drugs Based on In Vitro Measurements, In-Silico Models and Machine Learning Tools. PLoS computational biology (In Press) (计算系统生物学领域顶刊，中国计算机学会推荐 CCF B)