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20182021
most citedAI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

17 citations · 20 across the 2 of their papers we have counts for

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Showing 2020Show all

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cs.CV2020

Deep learning based registration using spatial gradients and noisy segmentation labels

Théo Estienne, Maria Vakalopoulou, Enzo Battistella +6

Image registration is one of the most challenging problems in medical image analysis. In the recent years, deep learning based approaches became quite popular, providing fast and p…

cs.CV2020★ 17 cited

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella +28

Chest computed tomography (CT) is widely used for the management of Coronavirus disease 2019 (COVID-19) pneumonia because of its availability and rapidity. The standard of referenc…