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Non-invasive fetal saturation prediction is challenging. We propose a multi-detector, inverse modeling, ML based approach. Trained on a large simulated simple tissue model dataset, our generalized NN can estimate simulation parameters given the simulation results. Our model achieves a 9.2% overall validation MSE for tissue model parameters.more » « less
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Fong, Daniel D.; Srinivasan, Vivek J.; Vali, Kourosh; Ghiasi, Soheil (, ACM Transactions on Embedded Computing Systems)
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Fong, Daniel D.; Yamashiro, Kaeli J.; Vali, Kourosh; Galganski, Laura A.; Thies, Jameson; Moeinzadeh, Rasta; Pivetti, Christopher; Knoesen, Andre; Srinivasan, Vivek J.; Hedriana, Herman L.; et al (, IEEE Transactions on Biomedical Engineering)null (Ed.)
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Abdelfattah, Ahmed; Allu, Srinivasa Rao; Campbell, Robert E.; Cheng, Xiaojun; Cižmár, Tomáš; Costantini, Irene; Emiliani, Valentina; Fomin-Thunemann, Natalie; Gilad, Ariel; Fernández Alfonso, Tomás; et al (, Neurophotonics)
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