| 2025 | EMNLP | Dependency Parsing-Based Syntactic Enhancement of Relation Extraction in Scientific Texts. | Devvrat Joshi, Islem Rekik |
| 2025 | MICCAI | Multimodal Sheaf-Based Network for Glioblastoma Molecular Subtype Prediction. | Shekhnaz Idrissova, Islem Rekik |
| 2025 | MICCAI | NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation. | Devvrat Joshi, Islem Rekik |
| 2025 | MICCAI | GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation. | Yitong Luo, Islem Rekik |
| 2025 | MICCAI | GNN-Based Unified Deep Learning. | Furkan Pala, Islem Rekik |
| 2025 | MICCAI | X-Node: Self-explanation is All We Need. | Prajit Sengupta, Islem Rekik |
| 2025 | MICCAI | CogGNN: Cognitive Graph Neural Networks in Generative Connectomics. | Mayssa Soussia, Yijun Lin, Mohamed Ali Mahjoub, Islem Rekik |
| 2025 | MICCAI | Multi-sensory Cognitive Computing for Learning Population-Level Brain Connectivity. | Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | DuoGNN: Topology-Aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling. | Kevin Mancini, Islem Rekik |
| 2024 | MICCAI | Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. | Jiquan Ma, Yujun Teng, Geng Chen, Haotian Jiang, Kai Zhang, Feihong Liu, Islem Rekik, Dinggang Shen |
| 2024 | MICCAI | Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution. | Pragya Singh, Islem Rekik |
| 2024 | MICCAI | Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion. | Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik |
| 2024 | MICCAI | DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity. | Scarlet Xiao, Islem Rekik |
| 2023 | DSAA | 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 |
| 2023 | MICCAI | Affordable Graph Neural Network Framework Using Topological Graph Contraction. | Christopher Adnel, Islem Rekik |
| 2023 | MICCAI | RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery. | Hizir Can Bayram, Mehmet Serdar elebi, Islem Rekik |
| 2023 | MICCAI | Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline. | Emircan Gndogdu, Islem Rekik |
| 2023 | MICCAI | Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. | Jia Ji, Islem Rekik |
| 2023 | MICCAI | Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. | Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2023 | MICCAI | Diffusion-Based Graph Super-Resolution with Application to Connectomics. | Nishant Rajadhyaksha, Islem Rekik |
| 2023 | MICCAI | Predicting Shape Development: A Riemannian Method. | Doga Trkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik |
| 2023 | MICCAI | Federated Multi-domain GNN Network for Brain Multigraph Generation. | Chun Xu, Islem Rekik |
| 2022 | ATSIP | Training Hacks and a Frugal Man's Net with Application to Glioblastoma Segmentation. | Jawher Ben Abdallah, Linda Marrakchi-Kacem, Islem Rekik |
| 2022 | MICCAI | Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets. | Mehmet Yigit Balik, Arwa Rekik, Islem Rekik |
| 2022 | MICCAI | Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. | Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik |
| 2022 | MICCAI | Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning. | Fatih Said Duran, Abdurrahman Beyaz, Islem Rekik |
| 2022 | MICCAI | Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints. | Zeynep Grler, Islem Rekik |
| 2022 | MICCAI | Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning. | Imen Jegham, Islem Rekik |
| 2022 | MICCAI | Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification. | Furkan Pala, Islem Rekik |
| 2022 | MICCAI | Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. | Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang |
| 2022 | MICCAI | Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. | Selim Yrekli, Mehmet Arif Demirtas, Islem Rekik |
| 2021 | MICCAI | A Federated Multigraph Integration Approach for Connectional Brain Template Learning. | Hizir Can Bayram, Islem Rekik |
| 2021 | MICCAI | 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, Weili Lin, Dinggang Shen, Islem Rekik |
| 2021 | MICCAI | Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. | Oytun Demirbilek, Islem Rekik |
| 2021 | MICCAI | Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. | Basar Demir, Alaa Bessadok, Islem Rekik |
| 2021 | MICCAI | Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. | Mohammed Amine Gharsallaoui, Furkan Tornaci, Islem Rekik |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. | Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik |
| 2021 | MICCAI | FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates. | Guris zen, Ahmed Nebli, Islem Rekik |
| 2021 | MICCAI | Template-Based Inter-modality Super-Resolution of Brain Connectivity. | Furkan Pala, Islem Mhiri, Islem Rekik |
| 2021 | MICCAI | Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. | Alpay Tekin, Ahmed Nebli, Islem Rekik |
| 2020 | ICIP | Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network. | Mohammad Moussa Madine, Islem Rekik, Naoufel Werghi |
| 2020 | MICCAI | Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification. | Alin Banka, Inis Buzi, Islem Rekik |
| 2020 | MICCAI | Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. | Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik |
| 2020 | MICCAI | Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI. | Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara |
| 2020 | MICCAI | Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates. | Ugur Demir, Mohammed Amine Gharsallaoui, Islem Rekik |
| 2020 | MICCAI | Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. | Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik |
| 2020 | MICCAI | Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. | Mustafa Burak Gurbuz, Islem Rekik |
| 2020 | MICCAI | Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. | Zeynep Grler, Ahmed Nebli, Islem Rekik |
| 2020 | MICCAI | GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. | Megi Isallari, Islem Rekik |
| 2020 | MICCAI | Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation. | Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik |
| 2020 | MICCAI | Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. | Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik |
| 2020 | MICCAI | Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. | Ahmed Nebli, Islem Rekik |
| 2020 | MICCAI | Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling. | Mustafa Saglam, Islem Rekik |
| 2020 | MICCAI | A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. | Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang |
| 2019 | MICCAI | Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks. | Alin Banka, Islem Rekik |
| 2019 | MICCAI | Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph. | Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik |
| 2019 | MICCAI | Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph. | Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik |
| 2019 | MICCAI | Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods. | Kbra Cengiz, Islem Rekik |
| 2019 | MICCAI | Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation. | Baha Eddine Ezzine, Islem Rekik |
| 2019 | MICCAI | Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. | Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2019 | MICCAI | Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States. | Oumaima Ben Khelifa, Islem Rekik |
| 2019 | MICCAI | 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 |
| 2018 | ATSIP | 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 |
| 2018 | ICAART | Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation. | Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik |
| 2018 | MICCAI | XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. | Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik |
| 2018 | MICCAI | 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 ngel Gonzlez Ballester, Dinggang Shen, Gang Li |
| 2018 | MICCAI | Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder. | Alaa Bessadok, Islem Rekik |
| 2018 | MICCAI | Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation. | Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States. | Nicolas Georges, Islem Rekik |
| 2018 | MICCAI | Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes. | Anna Lisowska, Islem Rekik |
| 2018 | MICCAI | Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes. | Rory Raeper, Anna Lisowska, Islem Rekik |
| 2018 | MICCAI | Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? | Islem Rekik, Gang Li, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning. | Minghui Zhu, Islem Rekik |
| 2018 | SSPR | Malignant Brain Tumor Classification Using the Random Forest Method. | Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. | Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen |
| 2017 | MICCAI | Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis. | Anna Lisowska, Islem Rekik |
| 2017 | MICCAI | Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks. | Carrie Morris, Islem Rekik |
| 2017 | MICCAI | High-order Connectomic Manifold Learning for Autistic Brain State Identification. | Mayssa Soussia, Islem Rekik |
| 2016 | ATSIP | Deep random forest-based learning transfer to SVM for brain tumor segmentation. | Samya Amiri, Islem Rekik, Mohamed Ali Mahjoub |
| 2016 | MICCAI | 7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. | Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen |
| 2016 | MICCAI | Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. | Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen |
| 2016 | MICCAI | Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. | Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen |
| 2016 | MICCAI | A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. | Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. | Islem Rekik, Gang Li, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. | Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen |