Islem Rekik

+44 (0)1382 384908
Honorary Lecturer

Publications

Fang, L, Zhang, L, Nie, D, Cao, X, Rekik, I, Lee, S-W, He, H & Shen, D 2018,

'Automatic Brain Labeling via Multi-Atlas Guided Fully Convolutional Networks' Medical Image Analysis.
https://doi.org/10.1016/j.media.2018.10.012

Research output: Contribution To Journal



Dhifallah, S, Rekik, I 2018,

'Clustering-based Multi-View Network Fusion for Estimating Brain Network Atlases of Healthy and Disordered Populations' Journal of Neuroscience Methods.
https://doi.org/10.1016/j.jneumeth.2018.09.028

Research output: Contribution To Journal



Raeper, R, Lisowska, A & Rekik, I 2018,

'Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes' IEEE Access, vol. 6, pp. 43830-43839.
https://doi.org/10.1109/ACCESS.2018.2863657

Research output: Contribution To Journal



Liu, L, Zhang, H, Wu, J, Yu, Z, Chen, X, Rekik, I, Wang, Q, Lu, J & Shen, D 2018,

'Overall Survival Time Prediction for High-grade Glioma Patients based on Large-scale Brain Functional Networks' Brain Imaging and Behavior.
https://doi.org/10.1007/s11682-018-9949-2

Research output: Contribution To Journal



Duan, D, Xia, S, Rekik, I, Meng, Y, Wu, Z, Wang, L, Lin, W, Gilmore, JH, Shen, D & Li, G 2018,

'Exploring Folding Patterns of Infant Cerebral Cortex Based on Multi-view Curvature Features: Methods and Applications' Neuro Image.
https://doi.org/10.1016/j.neuroimage.2018.08.041

Research output: Contribution To Journal



Zhang, L, Zhang, H, Rekik, I, Gao, Y, Wang, Q & Shen, D 2018,

Malignant brain tumor classification using the random forest method. in ER Hancock, TK Ho, B Biggio, RC Wilson, A Robles-Kelly & X Bai (eds), Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11004 LNCS, Springer Verlag, pp. 14-21, Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition, SSPR 2018 and Statistical Techniques in Pattern Recognition, SPR 2018, Beijing, China, 17/08/18.
https://doi.org/10.1007/978-3-319-97785-0_2

Research output: Contribution To Book Anthology



Lisowska, A & Rekik, I 2018,

'Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis' Brain connectivity.
https://doi.org/10.1089/brain.2018.0578

Research output: Contribution To Journal



Amiri, S, Ali Mahjoub, M & Rekik, I 2018,

'Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation' Neurocomputing.
https://doi.org/10.1016/j.neucom.2018.05.112

Research output: Contribution To Journal



Rekik, I, Li, G, Lin, W & Shen, D 2018,

'Estimation of Shape and Growth Brain Network Atlases for Connectomic Brain Mapping in Developing Infants' Paper presented at IEEE International Symposium on Biomedical Imaging , Washington DC, United States, 4/04/18 - 7/04/18, pp. 985-989.

Research output: Contribution To Conference



Bnouni, N, Mechi, O, Rekik, I, Rhim, MS & Ben Amara, NE 2018,

Semi-automatic lymph node segmentation and classification using cervical cancer MR imaging. in 2018 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018, Sousse, Tunisia, 21/03/18.
https://doi.org/10.1109/ATSIP.2018.8364480

Research output: Contribution To Book Anthology



Zhao, F, Zhang, H, Rekik, I, An, Z & Shen, D 2018,

'Diagnosis of Autism Spectrum Disorders Using Multi-level High-order Functional Networks Derived from Resting-State Functional MRI' Frontiers in Human Neuroscience, vol. 12, 184, pp. 1-9.
https://doi.org/10.3389/fnhum.2018.00184

Research output: Contribution To Journal



Li, G, Wang, L, Yap, P-T, Wang, F, Wu, Z, Meng, Y, Dong, P, Kim, J, Feng, S, Rekik, I, Lin, W & Shen, D 2018,

'Computational Neuroanatomy of Baby Brains: A Review' Neuro Image.
https://doi.org/10.1016/j.neuroimage.2018.03.042

Research output: Contribution To Journal



Mahjoub, I, Ali Mahjoub, M, Rekik, I & Alzheimer’s Disease Neuroimaging Initiative 2018,

'Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states' Scientific Reports, vol. 8, 4103, pp. 1-14.
https://doi.org/10.1038/s41598-018-21568-7

Research output: Contribution To Journal



Amiri, S, Ali Mahjoub, M & Rekik, I 2018,

Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . vol. 4, Sci Te Press, Portugal, pp. 419-426, VISAPP 2018, Madeira, Portugal, 27/01/18.
https://doi.org/10.5220/0006630004190426

Research output: Contribution To Book Anthology



Amiri, S, Ali Mahjoub, M & Rekik, I 2018,

Bayesian Network and Structured Random Forest Cooperative Deep Learning For Automatic Multi-label Brain Tumor Segmentation. in Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018). vol. 2, pp. 183-190, ICAART 2018, Madeira, Portugal, 16/01/18.
https://doi.org/10.5220/0006629901830190

Research output: Contribution To Book Anthology



Gafuroğlu, C, Rekik, I 2018,

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. in AF Frangi, C Davatzikos, G Fichtinger, C Alberola-López & JA Schnabel (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. vol. 11072, Lecture Notes in Computer Science, vol. 11072, Springer , Switzerland, pp. 437-445, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18.
https://doi.org/10.1007/978-3-030-00931-1_50

Research output: Contribution To Book Anthology



Rekik, I, Li, G, Lin, W & Shen, D 2018,

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? in AF Frangi, C Davatzikos, G Fichtinger, C Alberola-López & JA Schnabel (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. vol. 11072, Lecture Notes in Computer Science, vol. 11072, Springer , Switzerland, pp. 566-574, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18.
https://doi.org/10.1007/978-3-030-00931-1_65

Research output: Contribution To Book Anthology



Benkarim, OM, Sanroma, G, Piella, G, Rekik, I, Hahner, N, Eixarch, E, González Ballester, MA, Shen, D & Li, G 2018,

Revealing regional associations of cortical folding alterations with in utero ventricular dilation using joint spectral embedding. in AF Frangi, C Davatzikos, G Fichtinger, C Alberola-López & JA Schnabel (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. vol. 11072, Lecture Notes in Computer Science, vol. 11072, Springer , Switzerland, pp. 620-627, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18.
https://doi.org/10.1007/978-3-030-00931-1_71

Research output: Contribution To Book Anthology



Raeper, R, Lisowska, A, Rekik, I & Alzheimer’s Disease Neuroimaging Initiative 2018,

Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes. in JA Schnabel, C Davatzikos, C Alberola-López, G Fichtinger & AF Frangi (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. vol. 11070, Lecture Notes in Computer Science, vol. 11070, Springer , Switzerland, pp. 599-607, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18.
https://doi.org/10.1007/978-3-030-00928-1_68

Research output: Contribution To Book Anthology



Georges, N, Rekik, I 2018,

Data-specific feature selection method identification for most reproducible connectomic feature discovery fingerprinting brain states. in G Wu, MD Schirmer, AW Chung, I Rekik & B Munsell (eds), Connectomics in Neuro Imaging: Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. vol. 11083, Lecture Notes in Computer Science, vol. 11083, Springer Verlag, Switzerland, pp. 99-106, 2nd International Workshop on Connectomics in Neuro Imaging, CNI 2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 20/09/18.
https://doi.org/10.1007/978-3-030-00755-3_11

Research output: Contribution To Book Anthology



Bessadok, A & Rekik, I 2018,

Intact connectional morphometricity learning using multi-view morphological brain networks with application to autism spectrum disorder. in G Wu, MD Schirmer, AW Chung, I Rekik & B Munsell (eds), Connectomics in Neuro Imaging: Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. vol. 11083, Lecture Notes in Computer Science, vol. 11083, Springer Verlag, Switzerland, pp. 38-46, 2nd International Workshop on Connectomics in Neuro Imaging, CNI 2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 20/09/18.
https://doi.org/10.1007/978-3-030-00755-3_5

Research output: Contribution To Book Anthology



Bnouni, N, Rekik, I, Rhim, MS & Amara, NEB 2018,

Dynamic multi-scale CNN forest learning for automatic cervical cancer segmentation. in M Liu, H-I Suk & Y Shi (eds), Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. vol. 11046, Lecture Notes in Computer Science, vol. 11046, Springer Verlag, Switzerland, pp. 19-27, 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018 held in conjunction with the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18.
https://doi.org/10.1007/978-3-030-00919-9_3

Research output: Contribution To Book Anthology



Bano, S, Asad, M, Fetit, A & Rekik, I 2018,

Xmo Net: a Fully Convolutional Network for Cross-Modality MR Image Inference. in I Rekik, G Unal, E Adeli & SH Park (eds), PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science, First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Granada, Spain, 16/09/18.

Research output: Contribution To Book Anthology



Zhu, M & Rekik, I 2018,

Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning. in I Rekik, G Unal, E Adeli & SH Park (eds), PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science, First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Granada, Spain, 16/09/18.

Research output: Contribution To Book Anthology



Lisowska, A & Rekik, I 2018,

Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes. in I Rekik, G Unal, E Adeli & SH Park (eds), PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science, First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Granada, Spain, 16/09/18.

Research output: Contribution To Book Anthology



Lisowska, A & Rekik, I 2017,

Pairing-based Ensemble Classier Learning using Convolutional Brain Multiplexes & Multi-view Brain Networks for Early Dementia Diagnosis. in Connectomics in Neuro Imaging. vol. 10511, Lecture Notes in Computer Science, vol. 10511, Springer , Switzerland, pp. 42-50, International Workshop on Connectomics in Neuroimaging, Québec , Canada, 14/09/17.
https://doi.org/10.1007/978-3-319-67159-8_6

Research output: Contribution To Book Anthology



Wen, H, Liu, Y, Rekik, I, Wang, S, Zhang, J, Zhang, Y, Peng, Y & He, H 2017,

'Disrupted Topological Organization of Structural Networks revealed by Probabilistic Diffusion Tractography in Tourette Syndrome Children' Human Brain Mapping, vol. 38, no. 8, pp. 3988-4008.
https://doi.org/10.1002/hbm.23643

Research output: Contribution To Journal



Duan, D, Rekik, I, Xia, S, Lin, W, H. Gilmore, J, Shen, D & Li, G 2017,

Longitudinal Multi-scale Mapping of Infant Cortical Folding using Spherical Wavelets. in 2017 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, United States, pp. 93-96, IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 18/04/17.
https://doi.org/10.1109/ISBI.2017.7950476

Research output: Contribution To Book Anthology



Wen, H, Liu, Y, Rekik, I, Wang, S, Chen, Z, Zhang, J, Zhang, Y, Peng, Y & He, H 2017,

'Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children' Molecular Neurobiology.
https://doi.org/10.1007/s12035-017-0519-1

Research output: Contribution To Journal



Rekik, I, Li, G, Yap, P-T, Chen, G, Lin, W & Shen, D 2017,

'Joint Prediction of Longitudinal Development of Cortical Surfaces and White Matter Fibers from Neonatal MRI' Neuro Image, vol. 152, pp. 411-424.
https://doi.org/10.1016/j.neuroimage.2017.03.012

Research output: Contribution To Journal



Rekik, I, Li, G, Lin, W & Shen, D 2017,

Estimation of Brain Network Atlases using Diffusive-Shrinking Graphs: Application to Developing Brains. in M Niethammer, M Styner, S Aylward, H Zhu, I Oguz, P-T Yap & D Shen (eds), Information Processing in Medical Imaging: 25th International Conference, IPMI 2017 Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science , vol. 10265, Springer , Switzerland, pp. 385-397, Information Processing in Medical Imaging, Boone, North Carolina, United States, 25/06/17.
https://doi.org/10.1007/978-3-319-59050-9_31

Research output: Contribution To Book Anthology



Soussia, M & Rekik, I 2017,

High-order Connectomic Manifold Learning for Autistic Brain State Identification. in Connectomics in Neuro Imaging. vol. 10511, Lecture Notes in Computer Science, vol. 10511, Springer , Switzerland, pp. 51-59, International Workshop on Connectomics in Neuroimaging, Québec , Canada, 14/09/17.
https://doi.org/10.1007/978-3-319-67159-8_7

Research output: Contribution To Book Anthology



Morris, C & Rekik, I 2017,

Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks. in MJ Cardoso & T Arbel (eds), Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. vol. 10551, Lecture Notes in Computer Science, vol. 10551, Springer , Switzerland, pp. 12-20, Workshop on GRaphs in biomedic Al Image ana Lysis, Québec , Canada, 14/09/17.
https://doi.org/10.1007/978-3-319-67675-3_2

Research output: Contribution To Book Anthology



View full profile on research portal