I. Rekik

发表

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint

Gang Li, Islem Rekik, Dinggang Shen, 2020, Medical Image Anal..

Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children

Yun Peng, Yue Zhang, Yue Liu, 2017, Pattern Recognit..

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

S. Allassonnière, I. Rekik, J. Wardlaw, 2012, NeuroImage: Clinical.

Gender differences in cortical morphological networks

I. Rekik, Ahmed Nebli, 2019, Brain Imaging and Behavior.

Using longitudinal metamorphosis to examine ischemic stroke lesion dynamics on perfusion-weighted images and in relation to final outcome on T2-w images

S. Allassonnière, I. Rekik, J. Wardlaw, 2014, NeuroImage: Clinical.

Predicting full-scale and verbal intelligence scores from functional Connectomic data in individuals with autism Spectrum disorder

Islem Rekik, Stephen McKenna, I. Rekik, 2019, Brain Imaging and Behavior.

Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins

J. Gilmore, Gang Li, Weili Lin, 2020, Human brain mapping.

Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children

Huiguang He, Islem Rekik, Hongwei Wen, 2017, Human brain mapping.

Combining tract‐ and atlas‐based analysis reveals microstructural abnormalities in early Tourette syndrome children

Huiguang He, Islem Rekik, Jieqiong Wang, 2016, Human brain mapping.

Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

Dinggang Shen, Qian Wang, Islem Rekik, 2018, Brain Imaging and Behavior.

Novel mathematical modeling approaches to assess ischemic stroke lesion evolution on medical imaging

I. Rekik, 2014 .

Edinburgh Explorer Using longitudinal metamorphosis to examine ischemic stroke lesion dynamics on perfusion-weighted and relation to final outcome on T2-w images

S. Allassonnière, I. Rekik, T. Carpenter, 2014 .

Phase-based metamorphosis of diffusion lesion in relation to perfusion values in acute ischemic stroke

M. Luby, S. Allassonnière, I. Rekik, 2015, NeuroImage: Clinical.

FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates

Islem Rekik, Ahmed Nebli, Guris Özen, 2021, PRIME@MICCAI.

University of Dundee Predicting Full-Scale and Verbal Intelligence Scores from Functional Connectomic Data in Individuals with Autism Spectrum Disorder

I. Rekik, Stephen J. Mckenna, E. Dryburgh, 2019 .

HFCF‐Net: A hybrid‐feature cross fusion network for COVID‐19 lesion segmentation from CT volumetric images

I. Rekik, Xuezhong Zhou, L. Tian, 2022, Medical physics.

Transformers in Medical Image Analysis: A Review

D. Shen, I. Rekik, Yang Gao, 2022, ArXiv.

Pairing-based Ensemble Classier Learning using Convolutional Brain Multiplexes & Multi-view Brain Networks for Early Dementia Diagnosis

I. Rekik, A. Lisowska, 2017 .

University of Dundee High-order Connectomic Manifold Learning for Autistic Brain State Identification Soussia, Mayssa ; Rekik, Islem

I. Rekik, Mayssa Soussia, 2017 .

University of Dundee Clustering-based Multi-View Network Fusion for Estimating Brain Network Atlases of Healthy and Disordered Populations Dhifallah, Salma; Rekik, Islem; Alzheimer's Disease Neuroimaging Initiative

I. Rekik, Salma Dhifallah, 2018 .

Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]

Dinggang Shen, Islem Rekik, Weili Lin, 2017, Medical Image Anal..

University of Dundee Diagnosis of Autism Spectrum Disorders Using Multi-level High-order Functional Networks Derived from Resting-State Functional MRI

Han Zhang, D. Shen, I. Rekik, 2018 .

University of Dundee Gender differences in cortical morphological networks

I. Rekik, Ahmed Nebli, 2019 .

University of Dundee Intact connectional morphometricity learning using multi-view morphological brain networks with application to autism spectrum disorder Bessadok, Alaa; Rekik, Islem

A. W. Chung, I. Rekik, B. Munsell, 2018 .

connectional morphometricity learning using multiview morphological brain networks with application to autism spectrum disorder

A. W. Chung, I. Rekik, B. Munsell, 2018 .

University of Dundee Predicting Emotional Intelligence Scores from Multi-session Functional Brain

I. Rekik, E. Adeli, G. Unal, 2018 .

Transformers in Medical Image Analysis: A Review

D. Shen, I. Rekik, Yang Gao, 2022, Intelligent Medicine.

Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion

S. Allassonnière, I. Rekik, J. Wardlaw, 2018 .

Graph Neural Networks in Network Neuroscience

I. Rekik, M. Mahjoub, Alaa Bessadok, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning

I. Rekik, Imen Jegham, 2022, PRIME@MICCAI.

Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation

I. Rekik, Alaa Bessadok, Ece Cinar, 2022, ISGIE/GRAIL@MICCAI.

Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks

Alzheimer's Disease Neuroimaging Initiative, I. Rekik, Oytun Demirbilek, 2022, Medical Image Anal..

Data Augmentation of Morphological Brain Network Using Multi-variate Normal Distribution

I. Rekik, Mustafa Çelik, 2022, 2022 7th International Conference on Computer Science and Engineering (UBMK).

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders

Mohammed Amine Gharsallaoui, Alzheimer's Disease Neuroimaging Initiative, I. Rekik, 2022, Comput. Medical Imaging Graph..

Contrastive Graph Learning for Population-based fMRI Classification

I. Rekik, Xuesong Wang, Lina Yao, 2022, ArXiv.

Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification

I. Rekik, Arwa Rekik, Oben Özgür, 2022, ArXiv.

One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction pdf

Islem Rekik, Mohammed Amine Gharsallaoui, Umut Guvercin, 2021, PRIME@MICCAI.

Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates pdf

Islem Rekik, Oytun Demirbilek, I. Rekik, 2021, MICCAI.

MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations

Islem Rekik, Mustafa Burak Gurbuz, I. Rekik, 2021, Medical Image Anal..

Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration

Islem Rekik, Nada Chaari, Hatice Camgöz Akdağ, 2020, Brain imaging and behavior.

Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates pdf

Islem Rekik, Mustafa Burak Gurbuz, I. Rekik, 2020, MICCAI.

Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification

Islem Rekik, Alin Banka, Inis Buzi, 2020, PRIME@MICCAI.

Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks

Alzheimer's Disease Neuroimaging Initiative, Islem Rekik, Islem Mhiri, 2020, Pattern Recognit..

Estimation of connectional brain templates using selective multi-view network normalization

Islem Rekik, Alzheimer's Disease Neuroimaging Initiative, Salma Dhifallah, 2020, Medical Image Anal..

Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks

Islem Rekik, Alin Banka, I. Rekik, 2019, CNI@MICCAI.

Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis pdf

Islem Rekik, Can Gafuroglu, I. Rekik, 2019, ArXiv.

Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis

Islem Rekik, Anna Lisowska, I. Rekik, 2019, Brain Connect..

Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Sang Hyun Park, Ehsan Adeli, Islem Rekik, 2019, PRIME@MICCAI.

Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis

Islem Rekik, Mayssa Soussia, I. Rekik, 2018, Front. Neuroinform..

Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States

Islem Rekik, Nicolas Georges, I. Rekik, 2018, CNI@MICCAI.

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Islem Rekik, Mohamed Ali Mahjoub, Keith A. Johnson, 2018, Scientific Reports.

Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis

I. Rekik, Brain Connectivity, Anna Lisowska, 2018 .

High-order Connectomic Manifold Learning for Autistic Brain State Identification

Islem Rekik, Mayssa Soussia, I. Rekik, 2017, CNI@MICCAI.

Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks

Islem Rekik, Carrie Morris, I. Rekik, 2017, GRAIL/MFCA/MICGen@MICCAI.

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields

Qun Li, Gaoxiang Chen, Fuqian Shi, 2020, NeuroImage.

Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes

Islem Rekik, Rory Raeper, Anna Lisowska, 2018, IEEE Access.

Quantifying the reproducibility of graph neural networks using multigraph data representation

Mohammed Amine Gharsallaoui, Alzheimer's Disease Neuroimaging Initiative, I. Rekik, 2022, Neural Networks.

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data pdf

Islem Rekik, Mohammed Amine Gharsallaoui, I. Rekik, 2021, ArXiv.

Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network

Islem Rekik, Mohamed Ali Mahjoub, Alaa Bessadok, 2021, Medical Image Anal..

Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer

Ahmed Nebli, Islem Rekik, Zeynep Gurler, 2020, PRIME@MICCAI.

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes

Islem Rekik, Olfa Graa, I. Rekik, 2019, Journal of Neuroscience Methods.

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains

Dinggang Shen, Islem Rekik, Weili Lin, 2017, IPMI.

Predictive Intelligence in Medicine: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Sang Hyun Park, Maria del C. Valdés Hernández, Ehsan Adeli, 2020, PRIME@MICCAI.

Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Orcun Goksel, Christian Wachinger, Martin Reuter, 2020, ShapeMI@MICCAI.

Connectomics in NeuroImaging

Guorong Wu, Islem Rekik, A. W. Chung, 2018, Lecture Notes in Computer Science.

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge pdf

Andrew Melbourne, Neil Marlow, Juntang Zhuang, 2020, Medical Image Anal..

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly

Gang Li, Islem Rekik, Gemma Piella, 2020, Medical Image Anal..

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications

Dinggang Shen, Zhengwang Wu, Yu Meng, 2019, NeuroImage.

Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting

Islem Rekik, Ahmed Nebli, I. Rekik, 2020, Medical Image Anal..

Computational neuroanatomy of baby brains: A review

Dinggang Shen, Yu Meng, Li Wang, 2019, NeuroImage.

Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?

Yaozong Gao, Dinggang Shen, Islem Rekik, 2017, Human brain mapping.

Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children

Huiguang He, Islem Rekik, Hongwei Wen, 2018, Molecular Neurobiology.

Constructing high-order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder

D. Shen, I. Rekik, Xiaobo Chen, 2021, PeerJ.

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation

Gaoxiang Chen, Islem Rekik, Jintao Ru, 2021, NeuroImage.

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data

Joanna M. Wardlaw, Stanley Durrleman, Islem Rekik, 2013, Comput. Math. Methods Medicine.

Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity

I. Rekik, Megi Isallari, 2021, Medical Image Anal..

Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph

Islem Rekik, Mohamed Ali Mahjoub, Alaa Bessadok, 2019, MICCAI.

Brain atrophy patterns in multiple sclerosis patients treated with natalizumab and its clinical correlates

I. Rekik, M. Frih, M. Mhiri, 2022, Brain and behavior.

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

Dinggang Shen, Qian Wang, Xiaobo Chen, 2016, MICCAI.

Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine

Islem Rekik, Mohammed Amine Gharsallaoui, Furkan Tornaci, 2021, PRIME@MICCAI.

Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes

Islem Rekik, Anna Lisowska, I. Rekik, 2018, PRIME@MICCAI.

Clustering-based multi-view network fusion for estimating brain network atlases of healthy and disordered populations

Islem Rekik, for the Alzheimer's Disease Neuroimaging Initiative, Salma Dhifallah, 2019, Journal of Neuroscience Methods.

Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation

Islem Rekik, Mohamed Ali Mahjoub, Samya Amiri, 2018, ICAART.

Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features

Dinggang Shen, Feng Shi, Islem Rekik, 2016, LABELS/DLMIA@MICCAI.

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint pdf

Dinggang Shen, Islem Rekik, Mohamed Ali Mahjoub, 2021, PRIME@MICCAI.

Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism

Islem Rekik, Islem Mhiri, I. Rekik, 2019, Medical Image Anal..

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection

Islem Rekik, Dinggang Shen, Weili Lin, 2019, PRIME@MICCAI.

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI

Dinggang Shen, Islem Rekik, Pew-Thian Yap, 2017, NeuroImage.

Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing

Dinggang Shen, Islem Rekik, Weili Lin, 2016, Medical Image Anal..

Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework

Dinggang Shen, Guorong Wu, Islem Rekik, 2015, Patch-MI@MICCAI.

Topology-guided cyclic brain connectivity generation using geometric deep learning

Islem Rekik, Abubakhari Sserwadda, I. Rekik, 2020, Journal of Neuroscience Methods.

Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networks

Islem Rekik, Ismail Bilgen, Goktug Guvercin, 2020, Journal of Neuroscience Methods.

Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks

Seong-Whan Lee, Feng Zhao, Dinggang Shen, 2020, Frontiers in Neuroscience.

Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation

Islem Rekik, Najoua Essoukri Ben Amara, Nesrine Bnouni, 2018, MLMI@MICCAI.

Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory pdf

Islem Rekik, Ahmed Nebli, Alpay Tekin, 2021, DART/FAIR@MICCAI.

Automatic brain labeling via multi‐atlas guided fully convolutional networks☆

Dinggang Shen, Huiguang He, Xiaohuan Cao, 2019, Medical Image Anal..

Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates

Islem Rekik, Ugur Demir, Islem Rekik, 2020, UNSURE/GRAIL@MICCAI.

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants

Dinggang Shen, Islem Rekik, Weili Lin, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation

Islem Rekik, Najoua Essoukri Ben Amara, Bassel Solaiman, 2021, 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD).

GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes pdf

Islem Rekik, Megi Isallari, I. Rekik, 2020, MLMI@MICCAI.

Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Islem Rekik, A. W. Chung, Minjeong Kim, 2019, CNI@MICCAI.

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

I. Rekik, M. Mahjoub, Ines Mahjoub, 2018, Scientific Reports.

Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions

I. Rekik, Zeynep Gürler, 2022, IEEE Transactions on Medical Imaging.

Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets

I. Rekik, Arwa Rekik, Mehmet Yigit Balik, 2022, PRIME@MICCAI.

Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping

I. Rekik, H. Camgöz-Akdag, Nada Chaari, 2022, Medical Image Anal..

Multigraph classification using learnable integration network with application to gender fingerprinting

Mohammed Amine Gharsallaoui, I. Rekik, H. Camgöz-Akdag, 2022, Neural Networks.

A comparative study of machine learning methods for predicting the evolution of brain connectivity from a baseline timepoint

Islem Rekik, Seymanur Akti, Dogay Kamar, 2021, Journal of Neuroscience Methods.

A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment

Islem Rekik, Abdullah Yalçin, I. Rekik, 2020, Journal of Neuroscience Methods.

Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph

Islem Rekik, Mohamed Ali Mahjoub, Alaa Bessadok, 2020, Medical Image Anal..

Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint pdf

Ahmed Nebli, Islem Rekik, Ugur Ali Kaplan, 2020, PRIME@MICCAI.

Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping

Ahmed Nebli, Islem Rekik, I. Rekik, 2020, PRIME@MICCAI.

Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling

Islem Rekik, Mustafa Saglam, I. Rekik, 2020, UNSURE/GRAIL@MICCAI.

Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation pdf

Islem Rekik, Alaa Bessadok, Ahmet Serkan Goktas, 2020, PRIME@MICCAI.

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph pdf

Mohamed Ali Mahjoub, Islem Rekik, Alaa Bessadok, 2020, MICCAI.

Deep Hypergraph U-Net for Brain Graph Embedding and Classification pdf

Islem Rekik, Mert Lostar, I. Rekik, 2020, ArXiv.

Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning

Islem Rekik, Anouar Ben Khalifa, Mohamed Ali Mahjoub, 2020, Medical Image Anal..

Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods

Islem Rekik, Kübra Cengiz, I. Rekik, 2019, PRIME@MICCAI.

7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis

Islem Rekik, Mayssa Soussia, I. Rekik, 2019, PRIME@MICCAI.

Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States

Islem Rekik, Oumaima Ben Khelifa, I. Rekik, 2019, CNI@MICCAI.

Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph

Islem Rekik, Mohamed Ali Mahjoub, Alaa Bessadok, 2019, PRIME@MICCAI.

Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation

Islem Rekik, Baha Eddine Ezzine, I. Rekik, 2019, MICCAI.

Morphological Brain Age Prediction using Multi-View Brain Networks Derived from Cortical Morphology in Healthy and Disordered Participants

I. Rekik, Joshua Corps, 2019, Scientific Reports.

Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder

Islem Rekik, Alaa Bessadok, I. Rekik, 2018, CNI@MICCAI.

Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes

Islem Rekik, Rory Raeper, Anna Lisowska, 2018, MICCAI.

Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning

Islem Rekik, Minghui Zhu, I. Rekik, 2018, PRIME@MICCAI.

A Review on Image- and Network-based Brain Data Analysis Techniques for Alzheimer's Disease Diagnosis Reveals a Gap in Developing Predictive Methods for Prognosis

Islem Rekik, Mayssa Soussia, I. Rekik, 2018, 1808.01951.

Template-Based Inter-modality Super-Resolution of Brain Connectivity

Islem Rekik, Islem Mhiri, Furkan Pala, 2021, PRIME@MICCAI.

A Federated Multigraph Integration Approach for Connectional Brain Template Learning

Islem Rekik, Hizir Can Bayram, I. Rekik, 2021, ML-CDS@MICCAI.

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?

Dinggang Shen, Islem Rekik, Weili Lin, 2018, MICCAI.

University of Dundee Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? Rekik,

Alejandro F Frangi, G. Fichtinger, D. Shen, 2018 .

Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging

Islem Rekik, Nesrine Bnouni, Mohamed Salah Rhim, 2019, IEEE Access.

Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification

I. Rekik, Furkan Pala, 2022, PRIME@MICCAI.

Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation

Islem Rekik, Mohamed Ali Mahjoub, Samya Amiri, 2018, Neurocomputing.

Dynamic Multiscale Tree Learning using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions

Islem Rekik, Mohamed Ali Mahjoub, Samya Amiri, 2017, VISIGRAPP.

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets

Dinggang Shen, Feng Zhao, Islem Rekik, 2019, Complex..

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI

Dinggang Shen, Feng Zhao, Han Zhang, 2018, Front. Hum. Neurosci..

Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning pdf

Islem Rekik, Alaa Bessadok, Basar Demir, 2021, DART/FAIR@MICCAI.

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia

Islem Rekik, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's Disease Neuroimaging Initiative, 2018, MICCAI.

Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks

Dinggang Shen, Feng Shi, Islem Rekik, 2017, MICCAI.

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2013, Comput. Vis. Image Underst..

7T‐guided super‐resolution of 3T MRI

Yaozong Gao, Dinggang Shen, Khosro Bahrami, 2017, Medical physics.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

Classification of rat mammary carcinoma with large scale in vivo microwave measurements

I. Rekik, I. Akduman, T. Yilmaz, 2022, Scientific Reports.

Predicting cognitive scores with graph neural networks through sample selection learning

Mohammed Amine Gharsallaoui, Mehmet Arif Demirtas, I. Rekik, 2021, Brain Imaging and Behavior.

High-order Connectomic Manifold Learning for Autistic Brain State Identification

I. Rekik, Mayssa Soussia, 2017, CNI@MICCAI.

Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI

Najoua Essoukri Ben Amara, Islem Rekik, Nesrine Bnouni, 2020, PRIME@MICCAI.

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

I. Rekik, D. Merhof, Reza Azad, 2023, ArXiv.

Morphological Brain Age Prediction using Multi-View Brain Networks Derived from Cortical Morphology in Healthy and Disordered Participants

Islem Rekik, I. Rekik, Joshua Corps, 2019, Scientific Reports.

Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

D. Shen, I. Rekik, Han Zhang, 2018, Brain Imaging and Behavior.

FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs

I. Rekik, Christopher Adnel, 2023, ArXiv.

Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes

I. Rekik, A. Lisowska, Rory Raeper, 2018, IEEE Access.

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification

I. Rekik, Lina Yao, Yu Zhang, 2022, MICCAI.

Graph neural network based unsupervised influential sample selection for brain multigraph population fusion

Alzheimer's Disease Neuroimaging Initiative, Mert Can Kurucu, I. Rekik, 2023, Comput. Medical Imaging Graph..

Automatic brain labeling via multi‐atlas guided fully convolutional networks☆

Seong-Whan Lee, D. Shen, I. Rekik, 2019, Medical Image Anal..

Transformers in medical image analysis

I. Rekik, Yang Gao, Kelei He, 2022 .

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data

I. Rekik, Alban Bornet, A. Yazdani, 2023, 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA).

Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network

Naoufel Werghi, Islem Rekik, Mohammad Madine, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network

I. Rekik, M. Mahjoub, Alaa Bessadok, 2021, Medical Image Anal..

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding

Oualid M. Benkarim, Dinggang Shen, Islem Rekik, 2018, MICCAI.

Combining tract‐ and atlas‐based analysis reveals microstructural abnormalities in early Tourette syndrome children

I. Rekik, Yun Peng, Hongwei Wen, 2016, Human brain mapping.

A Novel Unit-Based Personalized Fingerprint Feature Selection Strategy for Dynamic Functional Connectivity Networks

Seong-Whan Lee, D. Shen, I. Rekik, 2021, Frontiers in Neuroscience.

Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis

Islem Rekik, Anna Lisowska, I. Rekik, 2017, CNI@MICCAI.