Deep learning–guided weighted averaging for signal dropout compensation in DWI of the liver
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VanAT CervantesB OginoT et al.Partial velocity‐compensated diffusion encoding for combined motion compensation and residual vessel signal suppression in liver DWI. In Proceedings of the 26th Annual Meeting of ISMRM Paris France 2018.
Krizhevsky A, 2012, Imagenet classification with deep convolutional neural networks. In: Pereira F, Burges CJ, Bottou, Weinberger KQ, eds. Advances in Neural Information Processing Systems (NeurIPS 2012), vol 25
TamadaD MotosugiU OnishiH.Improving the image quality of liver DWI using the convolutional neural network‐based selection algorithm. In Proceedings of the 26th Annual Meeting of ISMRM Paris France 2018;2723.
GadjimuradovF BenkertT NickelMD MaierA.Deep learning‐based adaptive image combination for signal‐dropout suppression in liver DWI. In Proceedings of the 29th Annual Meeting of the ISMRM Virtual Conference 2021.
IoffeS SzegedyC.Batch normalization: accelerating deep network training by reducing internal covariate shift. In Proceedings of the 32nd International Conference on Machine Learning (PMLR) 2015;37:448‐456.
ZaheerM KotturS RavanbhakhshS PóczosB SalakhutdinovR SmolaAJ.Deep sets. In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS) 2017.
Paszke A, 2019, Advances in Neural Information Processing Systems (NeurIPS 2019)
KukarM KononenkoI.Cost‐sensitive learning with neural networks. In Proceedings of the 13th European Conference on Artificial Intelligence (ECAI‐98) 1998.
KimJ GadjimuradovF BenkertT VahleT MaierA.Deep learning‐based respiratory motion correction in free‐breathing abdominal diffusion‐weighted imaging. In Proceedings of the Joint Annual Meeting ISMRM‐ESMRMB & ISMRT 31st Annual Meeting London UK 2022.