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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 17, 2018
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural NetworksKhosro Bahrami, Islem Rekik, Feng Shi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2016
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold RepresentationIslem Rekik, Gang Li, Weili Lin, et al.
Medical Image Analysis|December 1, 2015
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphingIslem Rekik, Gang Li, Weili Lin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|October 31, 2017
Estimation of Clean and Centered Brain Network Atlases using Diffusive-Shrinking Graphs with Application to Developing BrainsIslem Rekik, Gang Li, Weili Lin, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2018
ESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTSIslem Rekik, Gang Li, Weili Lin, et al.
IEEE Transactions on Medical Imaging|November 10, 2025
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain ScenariosGeng Chen, Qingyue Wang, Yuan Feng, et al.
Neuroimage|May 4, 2016
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical SurfacesIslem Rekik, Gang Li, Weili Lin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning FrameworkIslem Rekik, Gang Li, Weili Lin, et al.
Neuroimage|February 15, 2020
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fieldsGaoxiang Chen, Qun Li, Fuqian Shi, et al.
Neuroimage. Clinical|November 2, 2013
Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisalIslem Rekik, Stéphanie Allassonnière, Trevor K Carpenter, et al.
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