Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. - Islem Rekik; Stéphanie Allassonnière; Stanley Durrleman; Trevor Carpenter; Joanna M. Wardlaw (Comput. Math. Methods Medicine, 2013)

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. - Islem Rekik; Stéphanie Allassonnière; Olivier Clatz; Ezequiel Geremia; Erin Stretton; Hervé Delingette; Nicholas Ayache (Comput. Vis. Image Underst., 2013)

Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (IPMI, 2015)

Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (2), 2015)

Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. - Islem Rekik; Gang Li 001; Guorong Wu 001; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Deep random forest-based learning transfer to SVM for brain tumor segmentation. - Samya Amiri; Islem Rekik; Mohamed Ali Mahjoub (ATSIP, 2016)

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. - Khosro Bahrami; Islem Rekik; Feng Shi 001; Yaozong Gao; Dinggang Shen (MICCAI (2), 2016)

Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. - Khosro Bahrami; Feng Shi 001; Islem Rekik; Dinggang Shen (LABELS/DLMIA@MICCAI, 2016)

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. - Luyan Liu; Han Zhang 002; Islem Rekik; Xiaobo Chen 001; Qian Wang 001; Dinggang Shen (MICCAI (2), 2016)

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (MICCAI (1), 2016)

Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2016)

Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (NeuroImage, 2016)

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (IPMI, 2017)

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. - Dingna Duan; Islem Rekik; Shunren Xia; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (ISBI, 2017)

Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. - Khosro Bahrami; Islem Rekik; Feng Shi 001; Dinggang Shen (MICCAI (1), 2017)

Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis. - Anna Lisowska; Islem Rekik (CNI@MICCAI, 2017)

Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks. - Carrie Morris; Islem Rekik (GRAIL/MFCA/MICGen@MICCAI, 2017)

High-order Connectomic Manifold Learning for Autistic Brain State Identification. - Mayssa Soussia; Islem Rekik (CNI@MICCAI, 2017)

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]. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2017)

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (NeuroImage, 2017)

Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children. - Hongwei Wen; Yue Liu; Islem Rekik; Shengpei Wang; Zhiqiang Chen; Jishui Zhang; Yue Zhang; Yun Peng 005; Huiguang He (Pattern Recognit., 2017)

Semi-automatic lymph node segmentation and classification using cervical cancer MR imaging. - Nesrine Bnouni; Olfa Mechi; Islem Rekik; Mohamed Salah Rhim; Najoua Essoukri Ben Amara (ATSIP, 2018)

Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation. - Samya Amiri; Mohamed Ali Mahjoub; Islem Rekik (ICAART (2), 2018)

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (ISBI, 2018)

XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. - Sophia Bano; Muhammad Asad 001; Ahmed E. Fetit; Islem Rekik (PRIME@MICCAI, 2018)

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. - Oualid M. Benkarim; Gerard Sanroma; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Miguel Ángel González Ballester; Dinggang Shen; Gang Li 001 (MICCAI (3), 2018)

Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder. - Alaa Bessadok; Islem Rekik (CNI@MICCAI, 2018)

Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation. - Nesrine Bnouni; Islem Rekik; Mohamed Salah Rhim; Najoua Essoukri Ben Amara (MLMI@MICCAI, 2018)

Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia. - Can Gafuroglu; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (MICCAI (3), 2018)

Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States. - Nicolas Georges; Islem Rekik (CNI@MICCAI, 2018)

Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes. - Anna Lisowska; Islem Rekik (PRIME@MICCAI, 2018)

Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes. - Rory Raeper; Anna Lisowska; Islem Rekik (MICCAI (1), 2018)

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning. - Minghui Zhu; Islem Rekik (PRIME@MICCAI, 2018)

Malignant Brain Tumor Classification Using the Random Forest Method. - Lichi Zhang; Han Zhang 002; Islem Rekik; Yaozong Gao; Qian Wang 001; Dinggang Shen (S+SSPR, 2018)

Dynamic Multiscale Tree Learning using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions. - Samya Amiri; Mohamed Ali Mahjoub; Islem Rekik (VISIGRAPP (4: VISAPP), 2018)

Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes. - Rory Raeper; Anna Lisowska; Islem Rekik (IEEE Access, 2018)

Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis. - Mayssa Soussia; Islem Rekik (Frontiers Neuroinformatics, 2018)

Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation. - Samya Amiri; Mohamed Ali Mahjoub; Islem Rekik (Neurocomputing, 2018)

Special Issue on High Performance Computing in Bio-medical Informatics. - Luping Zhou; Islem Rekik; Chenggang Yan 003; Guorong Wu 001 (Neuroinformatics, 2018)

Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks. - Alin Banka; Islem Rekik (CNI@MICCAI, 2019)

Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (MICCAI (4), 2019)

Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (PRIME@MICCAI, 2019)

Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods. - Kübra Cengiz; Islem Rekik (PRIME@MICCAI, 2019)

Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation. - Baha Eddine Ezzine; Islem Rekik (MICCAI (2), 2019)

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2019)

Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States. - Oumaima Ben Khelifa; Islem Rekik (CNI@MICCAI, 2019)

7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis. - Mayssa Soussia; Islem Rekik (PRIME@MICCAI, 2019)

Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging. - Nesrine Bnouni; Islem Rekik; Mohamed Salah Rhim; Najoua Essoukri Ben Amara (IEEE Access, 2019)

Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis. - Anna Lisowska; Islem Rekik (Brain Connect., 2019)

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. - Feng Zhao 006; Islem Rekik; Seong-Whan Lee; Jing Liu 018; Junying Zhang; Dinggang Shen (Complex., 2019)

Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis. - Can Gafuroglu; Islem Rekik (CoRR, 2019)

Automatic brain labeling via multi-atlas guided fully convolutional networks. - Longwei Fang; Lichi Zhang; Dong Nie; Xiaohuan Cao; Islem Rekik; Seong-Whan Lee; Huiguang He; Dinggang Shen (Medical Image Anal., 2019)

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. - Dingna Duan; Shunren Xia; Islem Rekik; Yu Meng 003; Zhengwang Wu; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (NeuroImage, 2019)

Computational neuroanatomy of baby brains: A review. - Gang Li 001; Li Wang 026; Pew-Thian Yap; Fan Wang 023; Zhengwang Wu; Yu Meng 003; Pei Dong; Jaeil Kim; Feng Shi 001; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network. - Mohammad Moussa Madine; Islem Rekik; Naoufel Werghi (ICIP, 2020)

Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification. - Alin Banka; Inis Buzi; Islem Rekik (PRIME@MICCAI, 2020)

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (MICCAI (7), 2020)

Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI. - Nesrine Bnouni; Islem Rekik; Mohamed Salah Rhim; Najoua Essoukri Ben Amara (PRIME@MICCAI, 2020)

Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. - Ugur Demir; Mohammed Amine Gharsallaoui; Islem Rekik (UNSURE/GRAIL@MICCAI, 2020)

Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. - Ahmet Serkan Goktas; Alaa Bessadok; Islem Rekik (PRIME@MICCAI, 2020)

Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. - Mustafa Burak Gurbuz; Islem Rekik (MICCAI (7), 2020)

Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. - Zeynep Gürler; Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2020)

GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. - Megi Isallari; Islem Rekik (MLMI@MICCAI, 2020)

Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation. - Islem Mhiri; Mohamed Ali Mahjoub; Islem Rekik (MICCAI (7), 2020)

Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. - Ahmed Nebli; Ugur Ali Kaplan; Islem Rekik (PRIME@MICCAI, 2020)

Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. - Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2020)

Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling. - Mustafa Saglam; Islem Rekik (UNSURE/GRAIL@MICCAI, 2020)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. - Mayssa Soussia; Xuyun Wen; Zhen Zhou 004; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks. - Ismail Bilgen; Goktug Guvercin; Islem Rekik (CoRR, 2020)

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. - Markus D. Schirmer; Archana Venkataraman; Islem Rekik; Minjeong Kim; Stewart Mostofsky; Mary Beth Nebel; Keri Rosch; Karen Seymour; Deana Crocetti; Hassna Irzan; Michael Hütel; Sébastien Ourselin; et al. (CoRR, 2020)

Deep Hypergraph U-Net for Brain Graph Embedding and Classification. - Mert Lostar; Islem Rekik (CoRR, 2020)

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. - Oualid M. Benkarim; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li 001; Miguel Ángel González Ballester; Gerard Sanroma (Medical Image Anal., 2020)

Estimation of connectional brain templates using selective multi-view network normalization. - Salma Dhifallah; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2020)

Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning. - Islem Mhiri; Anouar Ben Khalifa; Mohamed Ali Mahjoub; Islem Rekik (Medical Image Anal., 2020)

Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. - Islem Mhiri; Islem Rekik (Medical Image Anal., 2020)

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. - Gaoxiang Chen; Qun Li; Fuqian Shi; Islem Rekik; Zhifang Pan (NeuroImage, 2020)

Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. - Nicolas Georges; Islem Mhiri; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Pattern Recognit., 2020)

Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation. - Nesrine Bnouni; Hadil Ben Amor; Islem Rekik; Mohamed Salah Rhim; Basel Solaiman; Najoua Essoukri Ben Amara (SSD, 2021)

Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. - Islem Mhiri; Ahmed Nebli; Mohamed Ali Mahjoub; Islem Rekik (IPMI, 2021)

A Federated Multigraph Integration Approach for Connectional Brain Template Learning. - Hizir Can Bayram; Islem Rekik (ML-CDS@MICCAI, 2021)

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. - Alaa Bessadok; Ahmed Nebli; Mohamed Ali Mahjoub; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2021)

Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. - Basar Demir; Alaa Bessadok; Islem Rekik (DART/FAIR@MICCAI, 2021)

Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. - Oytun Demirbilek; Islem Rekik (MICCAI (7), 2021)

Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. - Mohammed Amine Gharsallaoui; Furkan Tornaci; Islem Rekik (PRIME@MICCAI, 2021)

One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. - Umut Guvercin; Mohammed Amine Gharsallaoui; Islem Rekik (PRIME@MICCAI, 2021)

StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. - Islem Mhiri; Mohamed Ali Mahjoub; Islem Rekik (MLMI@MICCAI, 2021)

FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates. - Guris Özen; Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2021)

Template-Based Inter-modality Super-Resolution of Brain Connectivity. - Furkan Pala; Islem Mhiri; Islem Rekik (PRIME@MICCAI, 2021)

Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. - Alpay Tekin; Ahmed Nebli; Islem Rekik (DART/FAIR@MICCAI, 2021)

Predicting cognitive scores with graph neural networks through sample selection learning. - Martin Hanik; Mehmet Arif Demirtas; Mohammed Amine Gharsallaoui; Islem Rekik (CoRR, 2021)

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. - Mohammed Amine Gharsallaoui; Islem Rekik (CoRR, 2021)

A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint. - Seymanur Akti; Dogay Kamar; Özgür Anil Özlü; Ihsan Soydemir; Muhammet Akcan; Abdullah Kul; Islem Rekik (CoRR, 2021)

Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (Medical Image Anal., 2021)

Brain multigraph prediction using topology-aware adversarial graph neural network. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (Medical Image Anal., 2021)

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2021)

MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. - Mustafa Burak Gurbuz; Islem Rekik (Medical Image Anal., 2021)

Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity. - Megi Isallari; Islem Rekik (Medical Image Anal., 2021)

Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. - Ahmed Nebli; Islem Rekik (Medical Image Anal., 2021)

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. - Markus D. Schirmer; Archana Venkataraman; Islem Rekik; Minjeong Kim; Stewart H. Mostofsky; Mary Beth Nebel; Keri Rosch; Karen Seymour; Deana Crocetti; Hassna Irzan; Michael Hütel; Sébastien Ourselin; et al. (Medical Image Anal., 2021)

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. - Gaoxiang Chen; Jintao Ru; Yilin Zhou; Islem Rekik; Zhifang Pan; Xiaoming Liu 004; Yezhi Lin; Beichen Lu; Jialin Shi (NeuroImage, 2021)

Training Hacks and a Frugal Man's Net with Application to Glioblastoma Segmentation. - Jawher Ben Abdallah; Linda Marrakchi-Kacem; Islem Rekik (ATSIP, 2022)

Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets. - Mehmet Yigit Balik; Arwa Rekik; Islem Rekik (PRIME@MICCAI, 2022)

Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. - Ece Cinar; Sinem Elif Haseki; Alaa Bessadok; Islem Rekik (ISGIE/GRAIL@MICCAI, 2022)

Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning. - Fatih Said Duran; Abdurrahman Beyaz; Islem Rekik (MICCAI (1), 2022)

Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints. - Zeynep Gürler; Islem Rekik (PRIME@MICCAI, 2022)

Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning. - Imen Jegham; Islem Rekik (PRIME@MICCAI, 2022)

Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification. - Furkan Pala; Islem Rekik (PRIME@MICCAI, 2022)

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. - Xuesong Wang 002; Lina Yao 001; Islem Rekik; Yu Zhang 009 (MICCAI (1), 2022)

Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. - Selim Yürekli; Mehmet Arif Demirtas; Islem Rekik (PRIME@MICCAI, 2022)

Transformers in Medical Image Analysis: A Review. - Kelei He; Chen Gan; Zhuoyuan Li; Islem Rekik; Zihao Yin; Wen Ji; Yang Gao 001; Qian Wang 001; Junfeng Zhang; Dinggang Shen (CoRR, 2022)

Contrastive Graph Learning for Population-based fMRI Classification. - Xuesong Wang 002; Lina Yao 001; Islem Rekik; Yu Zhang 009 (CoRR, 2022)

Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification. - Oben Özgür; Arwa Rekik; Islem Rekik (CoRR, 2022)

Multigraph classification using learnable integration network with application to gender fingerprinting. - Nada Chaari; Mohammed Amine Gharsallaoui; Hatice Camgöz-Akdag; Islem Rekik (Neural Networks, 2022)

Quantifying the reproducibility of graph neural networks using multigraph data representation. - Ahmed Nebli; Mohammed Amine Gharsallaoui; Zeynep Gürler; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2022)

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. - Dimitrios Proios; Anthony Yazdani; Alban Bornet; Julien Ehrsam; Islem Rekik; Douglas Teodoro (DSAA, 2023)

Affordable Graph Neural Network Framework Using Topological Graph Contraction. - Christopher Adnel; Islem Rekik (MILLanD@MICCAI, 2023)

RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery. - Hizir Can Bayram; Mehmet Serdar Çelebi; Islem Rekik (PRIME@MICCAI, 2023)

Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline. - Emircan Gündogdu; Islem Rekik (PRIME@MICCAI, 2023)

Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. - Jia Ji; Islem Rekik (DGM4MICCAI, 2023)

Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. - Michalis Pistos; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2023)

Diffusion-Based Graph Super-Resolution with Application to Connectomics. - Nishant Rajadhyaksha; Islem Rekik (PRIME@MICCAI, 2023)

Predicting Shape Development: A Riemannian Method. - Doga Türkseven; Islem Rekik; Christoph von Tycowicz; Martin Hanik (ShapeMI@MICCAI, 2023)

Federated Multi-domain GNN Network for Brain Multigraph Generation. - Chun Xu; Islem Rekik (PRIME@MICCAI, 2023)

Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. - Ramona Ghilea; Islem Rekik (MLMI@MICCAI (2), 2023)

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. - Zeynep Gürler; Mohammed Amine Gharsallaoui; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision. - Bobby Azad; Reza Azad; Sania Eskandari; Afshin Bozorgpour; Amirhossein Kazerouni; Islem Rekik; Dorit Merhof (CoRR, 2023)

Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks. - Oytun Demirbilek; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2023)

Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. - Zeynep Gürler; Islem Rekik (IEEE Trans. Medical Imaging, 2023)

Comparative survey of multigraph integration methods for holistic brain connectivity mapping. - Nada Chaari; Hatice Camgöz-Akdag; Islem Rekik (Medical Image Anal., 2023)

Graph Neural Networks in Network Neuroscience. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Graph neural network based unsupervised influential sample selection for brain multigraph population fusion. - Mert Can Kurucu; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization. - Bethlehem Megabiaw Tassew; Muhammad Adeel Ijaz; Geng Chen 001; Islem Rekik (BIBM, 2024)

Cross-Atlas Brain Connectivity Mapping with Dual-Conditional Diffusion Model. - Runlin Zhang; Geng Chen 001; Chengdong Deng; Jiquan Ma; Islem Rekik (BIBM, 2024)

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. - Haotian Jiang; Shu Zhang 001; Xuyun Wen; Hui Cui 002; Jun Lu; Islem Rekik; Jiquan Ma; Geng Chen 001 (ISBI, 2024)

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. - Jiameng Liu; Feihong Liu; Kaicong Sun; Yuhang Sun; Jiawei Huang; Caiwen Jiang; Islem Rekik; Dinggang Shen (MICCAI (2), 2024)

Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. - Jiquan Ma; Yujun Teng; Geng Chen 001; Haotian Jiang; Kai Zhang 039; Feihong Liu; Islem Rekik; Dinggang Shen (CDMRI@MICCAI, 2024)

DuoGNN: Topology-Aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling. - Kevin Mancini; Islem Rekik (GRAIL@MICCAI, 2024)

Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution. - Pragya Singh; Islem Rekik (PRIME@MICCAI, 2024)

Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion. - Mayssa Soussia; Mohamed Ali Mahjoub; Islem Rekik (PRIME@MICCAI, 2024)

DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity. - Scarlet Xiao; Islem Rekik (PRIME@MICCAI, 2024)

UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks. - Atefe Hassani; Islem Rekik (MLMI@MICCAI (2), 2024)

DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification. - Jiameng Liu; Furkan Pala; Islem Rekik; Dinggang Shen (MLMI@MICCAI (1), 2024)

Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. - Geng Chen 001; Qingyue Wang; Islem Rekik (CoRR, 2024)

Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. - Tianming Liu 001; Dajiang Zhu; Fei Wang 001; Islem Rekik; Xia Ben Hu; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. - Yicheng Leng; Syed Muhammad Anwar; Islem Rekik; Sen He 002; Eung-Joo Lee (ISBI, 2025)

Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data. - Michalis Pistos; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2025)

Replica tree-based federated learning using limited data. - Ramona Ghilea; Islem Rekik (Neural Networks, 2025)

DeltaGNN: Graph Neural Network with Information Flow Control. - Kevin Mancini; Islem Rekik (CoRR, 2025)

FALCON: Feature-Label Constrained Graph Net Collapse for Memory-Efficient GNNs. - Christopher Adnel; Islem Rekik (IEEE Trans. Neural Networks Learn. Syst., 2025)

GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation. - Yitong Luo; Islem Rekik (CoRR, 2025)

NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation. - Devvrat Joshi; Islem Rekik (CoRR, 2025)

Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction. - Shekhnaz Idrissova; Islem Rekik (CoRR, 2025)

X-Node: Self-Explanation is All We Need. - Prajit Sengupta; Islem Rekik (CoRR, 2025)

GNN-based Unified Deep Learning. - Furkan Pala; Islem Rekik (CoRR, 2025)

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity. - Mayssa Soussia; Mohamed Ali Mahjoub; Islem Rekik (CoRR, 2025)