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Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning [PDF]

arXiv, 2018
In this work, we present a novel convolutional neural net- work based method for perfusion map generation in dynamic suscepti- bility contrast-enhanced perfusion imaging. The proposed architecture is trained end-to-end and solely relies on raw perfusion data for inference. We used a dataset of 151 acute ischemic stroke cases for evaluation.
arxiv

Extended preservation of non-heart-beating donor livers with normothermic machine perfusion [PDF]

, 2002
S D St Peter +4 more
openalex +1 more source

Perfusion parameter estimation using neural networks and data augmentation [PDF]

arXiv, 2018
Perfusion imaging plays a crucial role in acute stroke diagnosis and treatment decision making. Current perfusion analysis relies on deconvolution of the measured signals, an operation that is mathematically ill-conditioned and requires strong regularization.
arxiv

Improved rat liver preservation by hypothermic continuous machine perfusion using polysol, a new, enriched preservation solution [PDF]