Enhancing clinical MRI Perfusion maps with data-driven maps of
complementary nature for lesion outcome prediction

Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction

12 June 2018

Sérgio Pereira

Roland Wiest

Carlos Alberto Silva

Papers citing "Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction"

4 / 4 papers shown

Title
Spatiotemporal Graph Neural Network Modelling Perfusion MRI Ruodan Yan Carola-Bibiane Schönlieb Chao Li 43 1 0 10 Jun 2024
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation Cheng Li Hui Sun Zaiyi Liu Meiyun Wang Hairong Zheng Shanshan Wang 27 44 0 06 Aug 2019
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning D. Robben A. Boers H. Marquering L. Langezaal Y. Roos ... D. Dippel C. Majoie A. van der Lugt Robin Lemmens P. Suetens 12 72 0 06 Dec 2018
Perfusion parameter estimation using neural networks and data augmentation D. Robben P. Suetens 15 10 0 11 Oct 2018