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Neuroimage. Clinical|August 28, 2014
Using longitudinal metamorphosis to examine ischemic stroke lesion dynamics on perfusion-weighted images and in relation to final outcome on T2-w imagesIslem Rekik, Stéphanie Allassonnière, Trevor K Carpenter, et al.
Medical Image Analysis|March 19, 2025
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce dataMichalis Pistos, Gang Li, Weili Lin, et al.
Brain and Behavior|April 10, 2022
Brain atrophy patterns in multiple sclerosis patients treated with natalizumab and its clinical correlatesArwa Rekik, Mona Aissi, Islem Rekik, et al.
Medical Physics|March 18, 2022
HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric imagesYanting Wang, Qingyu Yang, Lixia Tian, et al.
Neuroimage. Clinical|August 20, 2015
Phase-based metamorphosis of diffusion lesion in relation to perfusion values in acute ischemic strokeIslem Rekik, Stéphanie Allassonnière, Marie Luby, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 27, 2017
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural NetworksLuyan Liu, Han Zhang, Islem Rekik, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 14, 2017
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal DataIslem Rekik, Gang Li, Pew-Thian Yap, et al.
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