Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT

引用： Jia, J., Yu, B., Mody, P., Ninaber, M. K., Schouffoer, A. A., de Vries-Bouwstra, J. K., Kroft, L. J. M., Staring, M., & Stoel, B. C. (2024). Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT. Computers in Biology and Medicine, 182, 109192.

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本文首次提出使用点云神经网络（PNN-Vessel）和图神经网络（GNN-Vessel）从肺血管的点云和图表征来估计肺功能测试，为 CT 肺功能评估开辟了新范式。

推荐引用：Jia, J., Yu, B., Mody, P., Ninaber, M. K., Schouffoer, A. A., de Vries-Bouwstra, J. K., Kroft, L. J. M., Staring, M., & Stoel, B. C. (2024). Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT. Computers in Biology and Medicine, 182, 109192.