Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data von Huttunen, Janne M J, Kärkkäinen, Leo, Lindholm, Harri

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DeepRx: Fully Convolutional Deep Learning Receiver von Honkala, Mikko, Korpi, Dani, Huttunen, Janne M. J.

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Estimation of groundwater storage from seismic data using deep learning von Lähivaara, Timo, Malehmir, Alireza, Pasanen, Antti, Kärkkäinen, Leo, Huttunen, Janne M.J., Hesthaven, Jan S.

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Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach von Huttunen, Janne M.J., Kärkkäinen, Leo, Honkala, Mikko, Lindholm, Harri

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MRI contrasts in high rank rotating frames von Liimatainen, Timo, Hakkarainen, Hanne, Mangia, Silvia, Huttunen, Janne M.J., Storino, Christine, Idiyatullin, Djaudat, Sorce, Dennis, Garwood, Michael, Michaeli, Shalom

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DeepTx: Deep Learning Beamforming with Channel Prediction von Huttunen, Janne M.J., Korpi, Dani, Honkala, Mikko

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Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography von Lähivaara, Timo, Kärkkäinen, Leo, Huttunen, Janne M. J., Hesthaven, Jan S.

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Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage von Pihlajasalo, Jaakko, Korpi, Dani, Honkala, Mikko, Huttunen, Janne M. J., Riihonen, Taneli, Talvitie, Jukka, Brihuega, Alberto, Uusitalo, Mikko A., Valkama, Mikko

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A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media von Muhumuza, Kenneth, Roininen, Lassi, Huttunen, Janne M J, Lähivaara, Timo

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Model reduction in state identification problems with an application to determination of thermal parameters von Huttunen, Janne M.J., Kaipio, Jari P.

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Determination of heterogeneous thermal parameters using ultrasound induced heating and MR thermal mapping von Huttunen, Janne M J, Huttunen, Tomi, Malinen, Matti, Kaipio, Jari P

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Elliptic boundary value problems with Gaussian white noise loads von Lasanen, Sari, Roininen, Lassi, Huttunen, Janne M.J.

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A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media von Muhumuza, Kenneth, Roininen, Lassi, Huttunen, Janne M J, Lähivaara, Timo

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Improving pulse transit time estimation of aortic PWV and blood pressure using machine learning and simulated training data von Huttunen, Janne M J, Kärkkäinen, Leo, Lindholm, Harri

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Estimation of groundwater storage from seismic data using deep learning von Lähivaara, Timo, Malehmir, Alireza, Pasanen, Antti, Kärkkäinen, Leo, Huttunen, Janne M J, Hesthaven, Jan S

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Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography von Lähivaara, Timo, Kärkkäinen, Leo, Huttunen, Janne M J, Hesthaven, Jan S

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Adapting to Reality: Over-the-Air Validation of AI-Based Receivers Trained with Simulated Channels von Luostari, Riku, Korpi, Dani, Honkala, Mikko, Huttunen, Janne M. J

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Deep Learning-Based Pilotless Spatial Multiplexing von Korpi, Dani, Honkala, Mikko, Huttunen, Janne M. J

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Cheap contouring of costly functions: the Pilot Approximation Trajectory algorithm von Huttunen, Janne M J, Stark, Philip B

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DeepTx: Deep Learning Beamforming with Channel Prediction von Huttunen, Janne M. J, Korpi, Dani, Honkala, Mikko

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