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Islem Rekik

Showing results (41-50 of 82) with videos related to

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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.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 3, 2017
7T-Guided Learning Framework for Improving the Segmentation of 3T MR ImagesKhosro Bahrami, Islem Rekik, Feng Shi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 4, 2026
Reservoir-Based Graph Convolutional NetworksMayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub, et al.
Neuroimage. Clinical|November 2, 2013
Corrigendum to "Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal" [NeuroImage: Clinical 1 (2012) 164-178]Islem Rekik, Stéphanie Allassonnière, Trevor K Carpenter, et al.
Medical Image Analysis|December 2, 2020
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepointOlfa Ghribi, Gang Li, Weili Lin, et al.
Medical Physics|February 9, 2017
7T-guided super-resolution of 3T MRIKhosro Bahrami, Feng Shi, Islem Rekik, et al.
Brain Imaging and Behavior|November 10, 2021
Predicting cognitive scores with graph neural networks through sample selection learningMartin Hanik, Mehmet Arif Demirtaş, Mohammed Amine Gharsallaoui, et al.
Patch-Based Techniques in Medical Imaging : First International Workshop, Patch-Mi 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Patch-Mi (Workshop) (1St : 2015 : Munich, Germany)|April 11, 2017
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning FrameworkIslem Rekik, Gang Li, Guorong Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2022
Multigraph classification using learnable integration network with application to gender fingerprintingNada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz Akdağ, et al.
Pageof 9

Showing results (41-50 of 82) with videos related to

Sort By:
Pageof 9
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.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 3, 2017
7T-Guided Learning Framework for Improving the Segmentation of 3T MR ImagesKhosro Bahrami, Islem Rekik, Feng Shi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 4, 2026
Reservoir-Based Graph Convolutional NetworksMayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub, et al.
Neuroimage. Clinical|November 2, 2013
Corrigendum to "Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal" [NeuroImage: Clinical 1 (2012) 164-178]Islem Rekik, Stéphanie Allassonnière, Trevor K Carpenter, et al.
Medical Image Analysis|December 2, 2020
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepointOlfa Ghribi, Gang Li, Weili Lin, et al.
Medical Physics|February 9, 2017
7T-guided super-resolution of 3T MRIKhosro Bahrami, Feng Shi, Islem Rekik, et al.
Brain Imaging and Behavior|November 10, 2021
Predicting cognitive scores with graph neural networks through sample selection learningMartin Hanik, Mehmet Arif Demirtaş, Mohammed Amine Gharsallaoui, et al.
Patch-Based Techniques in Medical Imaging : First International Workshop, Patch-Mi 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Patch-Mi (Workshop) (1St : 2015 : Munich, Germany)|April 11, 2017
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning FrameworkIslem Rekik, Gang Li, Guorong Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2022
Multigraph classification using learnable integration network with application to gender fingerprintingNada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz Akdağ, et al.
Pageof 9