Islem Rekik
TitleCited byYear
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
812012
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, 39-47, 2016
612016
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
322019
Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
I Mahjoub, MA Mahjoub, I Rekik
Scientific reports 8 (1), 4103, 2018
272018
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
272013
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
International Conference on Medical Image Computing and Computer-Assisted …, 2016
192016
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
192016
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing
I Rekik, G Li, W Lin, D Shen
Medical image analysis 28, 1-12, 2016
172016
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
152019
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 (https://www.frontiersin.org/articles/10.), 70, 2018
152018
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children
H Wen, Y Liu, I Rekik, S Wang, Z Chen, J Zhang, Y Zhang, Y Peng, H He
Pattern Recognition 63, 601-611, 2017
152017
High-order connectomic manifold learning for autistic brain state identification
M Soussia, I Rekik
International Workshop on Connectomics in Neuroimaging, 51-59, 2017
142017
Joint reconstruction and segmentation of 7T-like MR images from 3T MRI based on cascaded convolutional neural networks
K Bahrami, I Rekik, F Shi, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2017
142017
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, 2018
122018
Pairing-based ensemble classifier learning using convolutional brain multiplexes and multi-view brain networks for early dementia diagnosis
A Lisowska, I Rekik, Alzheimers Disease Neuroimaging Initiative
International Workshop on Connectomics in Neuroimaging, 42-50, 2017
122017
7T‐guided super‐resolution of 3T MRI
K Bahrami, F Shi, I Rekik, Y Gao, D Shen
Medical physics 44 (5), 1661-1677, 2017
112017
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 (4), 3251-3269, 2018
92018
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI
I Rekik, G Li, PT Yap, G Chen, W Lin, D Shen
NeuroImage 152, 411-424, 2017
92017
Prediction of longitudinal development of infant cortical surface shape using a 4d current-based learning framework
I Rekik, G Li, W Lin, D Shen
International Conference on Information Processing in Medical Imaging, 576-587, 2015
92015
Clustering-based multi-view network fusion for estimating brain network atlases of healthy and disordered populations
S Dhifallah, I Rekik, Alzheimer's Disease Neuroimaging Initiative
Journal of neuroscience methods 311, 426-435, 2019
82019
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Articles 1–20