Islem Rekik
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Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical …
I Rekik, S Allassonnière, TK Carpenter, JM Wardlaw
NeuroImage: Clinical 1 (1), 164-178, 2012
Computational neuroanatomy of baby brains: A review
G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ...
NeuroImage 185, 906-925, 2019
Convolutional neural network for reconstruction of 7T-like images from 3T MRI using appearance and anatomical features
K Bahrami, F Shi, I Rekik, D Shen
Deep Learning and Data Labeling for Medical Applications: First …, 2016
Diagnosis of autism spectrum disorders using multi-level high-order functional networks derived from resting-state functional mri
F Zhao, H Zhang, I Rekik, Z An, D Shen
Frontiers in human neuroscience 12, 184, 2018
Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
I Mahjoub, MA Mahjoub, I Rekik
Scientific reports 8 (1), 1-14, 2018
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis
M Soussia, I Rekik
Frontiers in Neuroinformatics 12 (, 70, 2018
Graph neural networks in network neuroscience
A Bessadok, MA Mahjoub, I Rekik
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5833-5848, 2022
Outcome prediction for patient with high-grade gliomas from brain functional and structural networks
L Liu, H Zhang, I Rekik, X Chen, Q Wang, D Shen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
7T‐guided super‐resolution of 3T MRI
K Bahrami, F Shi, I Rekik, Y Gao, D Shen
Medical physics 44 (5), 1661-1677, 2017
Joint pairing and structured mapping of convolutional brain morphological multiplexes for early dementia diagnosis
A Lisowska, I Rekik, AbbVie, Alzheimer's Association, ...
Brain connectivity 9 (1), 22-36, 2019
Combining tract‐and atlas‐based analysis reveals microstructural abnormalities in early Tourette syndrome children
H Wen, Y Liu, J Wang, I Rekik, J Zhang, Y Zhang, H Tian, Y Peng, H He
Human brain mapping 37 (5), 1903-1919, 2016
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas
I Rekik, S Allassonnière, O Clatz, E Geremia, E Stretton, H Delingette, ...
Computer Vision and Image Understanding 117 (3), 238-249, 2013
Transformers in medical image analysis: A review
K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen
Intelligent Medicine, 2022
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields
G Chen, Q Li, F Shi, I Rekik, Z Pan
NeuroImage 211, 116620, 2020
Combining disrupted and discriminative topological properties of functional connectivity networks as neuroimaging biomarkers for accurate diagnosis of early Tourette syndrome …
H Wen, Y Liu, I Rekik, S Wang, Z Chen, J Zhang, Y Zhang, Y Peng, H He
Molecular neurobiology 55, 3251-3269, 2018
Diagnosis of autism spectrum disorder using central-moment features from low-and high-order dynamic resting-state functional connectivity networks
F Zhao, Z Chen, I Rekik, SW Lee, D Shen
Frontiers in neuroscience 14, 258, 2020
Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children
H Wen, Y Liu, I Rekik, S Wang, J Zhang, Y Zhang, Y Peng, H He
Human Brain Mapping 38 (8), 3988-4008, 2017
Gender differences in cortical morphological networks
A Nebli, I Rekik
Brain imaging and behavior 14 (5), 1831-1839, 2020
Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks
L Liu, H Zhang, J Wu, Z Yu, X Chen, I Rekik, Q Wang, J Lu, D Shen
Brain imaging and behavior 13, 1333-1351, 2019
Machine learning methods for brain network classification: application to autism diagnosis using cortical morphological networks
I Bilgen, G Guvercin, I Rekik
Journal of neuroscience methods 343, 108799, 2020
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