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Prediction of the mean transit time using machine learning models based on radiomics features from digital subtraction angiography in moyamoya disease or moyamoya syndrome—a development and validation model study
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@article{{CDT}{118528}, author = {Qin, K., Guo, Z., Peng, C., Gan, W., Zhou, D., Chen, G.}, title = {Prediction of the mean transit time using machine learning models based on radiomics features from digital subtraction angiography in moyamoya disease or moyamoya syndrome—a development and validation model study}, journal = {Cardiovascular Diagnosis and Therapy}, volume = {13}, number = {5}, year = {2023}, url = {https://cdt.amegroups.org/article/view/118528} }