Islem Rekik

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 164

Top Venues

Publications

Geng Chen, Qingyue Wang, Islem Rekik
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios. CoRR (2024)
Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR (2024)
Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Hizir Can Bayram, Mehmet Serdar Çelebi, Islem Rekik
RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery. PRIME@MICCAI (2023)
Oytun Demirbilek, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks. Medical Image Anal. 83 (2023)
Bobby Azad, Reza Azad, Sania Eskandari, Afshin Bozorgpour, Amirhossein Kazerouni, Islem Rekik, Dorit Merhof
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision. CoRR (2023)
Zeynep Gürler, Mohammed Amine Gharsallaoui, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. Comput. Medical Imaging Graph. 103 (2023)
Doga Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik
Predicting Shape Development: A Riemannian Method. ShapeMI@MICCAI (2023)
Christopher Adnel, Islem Rekik
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs. CoRR (2023)
Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI (2023)
Nada Chaari, Hatice Camgöz-Akdag, Islem Rekik
Comparative survey of multigraph integration methods for holistic brain connectivity mapping. Medical Image Anal. 85 (2023)
Jia Ji, Islem Rekik
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. DGM4MICCAI (2023)
Ramona Ghilea, Islem Rekik
Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. MLMI@MICCAI (2) (2023)
Mert Can Kurucu, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Graph neural network based unsupervised influential sample selection for brain multigraph population fusion. Comput. Medical Imaging Graph. 108 (2023)
Ramona Ghilea, Islem Rekik
Replica Tree-based Federated Learning using Limited Data. CoRR (2023)
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Graph Neural Networks in Network Neuroscience. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. DSAA (2023)
Zeynep Gürler, Islem Rekik
Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. IEEE Trans. Medical Imaging 42 (7) (2023)
Chun Xu, Islem Rekik
Federated Multi-domain GNN Network for Brain Multigraph Generation. PRIME@MICCAI (2023)
Emircan Gündogdu, Islem Rekik
Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline. PRIME@MICCAI (2023)
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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Nishant Rajadhyaksha, Islem Rekik
Diffusion-Based Graph Super-Resolution with Application to Connectomics. PRIME@MICCAI (2023)
Christopher Adnel, Islem Rekik
Affordable Graph Neural Network Framework Using Topological Graph Contraction. MILLanD@MICCAI (2023)
Ahmed Nebli, Mohammed Amine Gharsallaoui, Zeynep Gürler, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Quantifying the reproducibility of graph neural networks using multigraph data representation. Neural Networks 148 (2022)
Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz-Akdag, Islem Rekik
Multigraph classification using learnable integration network with application to gender fingerprinting. Neural Networks 151 (2022)
Imen Jegham, Islem Rekik
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning. PRIME@MICCAI (2022)
Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. ISGIE/GRAIL@MICCAI (2022)
Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. CoRR (2022)
Imen Jegham, Islem Rekik
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning. CoRR (2022)
Mehmet Yigit Balik, Arwa Rekik, Islem Rekik
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets. CoRR (2022)
Selim Yürekli, Mehmet Arif Demirtas, Islem Rekik
Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts. PRIME@MICCAI (2022)
Doga Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik
Predicting Shape Development: a Riemannian Method. CoRR (2022)
Furkan Pala, Islem Rekik
Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification. PRIME@MICCAI (2022)
Furkan Pala, Islem Rekik
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification. CoRR (2022)
Mehmet Yigit Balik, Arwa Rekik, Islem Rekik
Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets. PRIME@MICCAI (2022)
Nada Chaari, Hatice Camgöz-Akdag, Islem Rekik
Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping. CoRR (2022)
Jawher Ben Abdallah, Linda Marrakchi-Kacem, Islem Rekik
Training Hacks and a Frugal Man's Net with Application to Glioblastoma Segmentation. ATSIP (2022)
Zeynep Gürler, Islem Rekik
Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints. PRIME@MICCAI (2022)
Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. MICCAI (1) (2022)
Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen
Transformers in Medical Image Analysis: A Review. CoRR (2022)
Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
Contrastive Graph Learning for Population-based fMRI Classification. CoRR (2022)
Fatih Said Duran, Abdurrahman Beyaz, Islem Rekik
Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning. MICCAI (1) (2022)
Oben Özgür, Arwa Rekik, Islem Rekik
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification. CoRR (2022)
Basar Demir, Alaa Bessadok, Islem Rekik
Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. DART/FAIR@MICCAI (2021)
Alpay Tekin, Ahmed Nebli, Islem Rekik
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. DART/FAIR@MICCAI (2021)
Oytun Demirbilek, Islem Rekik
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. CoRR (2021)
Guris Özen, Ahmed Nebli, Islem Rekik
FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates. PRIME@MICCAI (2021)
Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. PRIME@MICCAI (2021)
Martin Hanik, Mehmet Arif Demirtas, Mohammed Amine Gharsallaoui, Islem Rekik
Predicting cognitive scores with graph neural networks through sample selection learning. CoRR (2021)
Mohammed Amine Gharsallaoui, Islem Rekik
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. CoRR (2021)
Mustafa Burak Gurbuz, Islem Rekik
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations. Medical Image Anal. 71 (2021)
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph. Medical Image Anal. 68 (2021)
Nesrine Bnouni, Hadil Ben Amor, Islem Rekik, Mohamed Salah Rhim, Basel Solaiman, Najoua Essoukri Ben Amara
Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation. SSD (2021)
Islem Rekik, Mustafa Burak Gurbuz
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations. CoRR (2021)
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, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70 (2021)
Furkan Pala, Islem Mhiri, Islem Rekik
Template-Based Inter-modality Super-Resolution of Brain Connectivity. PRIME@MICCAI (2021)
Ahmed Nebli, Islem Rekik
Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. Medical Image Anal. 67 (2021)
Megi Isallari, Islem Rekik
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity. CoRR (2021)
Basar Demir, Alaa Bessadok, Islem Rekik
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. CoRR (2021)
Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. CoRR (2021)
Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI (2021)
Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR (2021)
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. MLMI@MICCAI (2021)
Megi Isallari, Islem Rekik
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity. Medical Image Anal. 71 (2021)
Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. 68 (2021)
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. CoRR (2021)
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Brain multigraph prediction using topology-aware adversarial graph neural network. Medical Image Anal. 72 (2021)
Oytun Demirbilek, Islem Rekik
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. MICCAI (7) (2021)
Mohammed Amine Gharsallaoui, Furkan Tornaci, Islem Rekik
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine. PRIME@MICCAI (2021)
Hizir Can Bayram, Islem Rekik
A Federated Multigraph Integration Approach for Connectional Brain Template Learning. ML-CDS@MICCAI (2021)
Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. IPMI (2021)
Alpay Tekin, Ahmed Nebli, Islem Rekik
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. CoRR (2021)
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network. CoRR (2021)
Umut Guvercin, Mohammed Amine Gharsallaoui, Islem Rekik
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction. CoRR (2021)
Gaoxiang Chen, Jintao Ru, Yilin Zhou, Islem Rekik, Zhifang Pan, Xiaoming Liu, Yezhi Lin, Beichen Lu, Jialin Shi
MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. NeuroImage 244 (2021)
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Graph Neural Networks in Network Neuroscience. CoRR (2021)
Seymanur Akti, Dogay Kamar, Özgür Anil Özlü, Ihsan Soydemir, Muhammet Akcan, Abdullah Kul, Islem Rekik
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint. CoRR (2021)
Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. CoRR (2020)
Mustafa Burak Gurbuz, Islem Rekik
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. CoRR (2020)
Mohammad Moussa Madine, Islem Rekik, Naoufel Werghi
Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network. ICIP (2020)
Islem Mhiri, Islem Rekik
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism. Medical Image Anal. 60 (2020)
Alin Banka, Inis Buzi, Islem Rekik
Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification. PRIME@MICCAI (2020)
Gaoxiang Chen, Qun Li, Fuqian Shi, Islem Rekik, Zhifang Pan
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. NeuroImage 211 (2020)
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation. MICCAI (7) (2020)
Islem Mhiri, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Islem Rekik
Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning. Medical Image Anal. 65 (2020)
Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik
Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. PRIME@MICCAI (2020)
Salma Dhifallah, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Estimation of connectional brain templates using selective multi-view network normalization. Medical Image Anal. 59 (2020)
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, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR (2020)
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
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) (2020)
Mustafa Saglam, Islem Rekik
Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling. UNSURE/GRAIL@MICCAI (2020)
Mustafa Burak Gurbuz, Islem Rekik
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. MICCAI (7) (2020)
Ahmed Nebli, Islem Rekik
Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. PRIME@MICCAI (2020)
Mert Lostar, Islem Rekik
Deep Hypergraph U-Net for Brain Graph Embedding and Classification. CoRR (2020)
Zeynep Gurler, Ahmed Nebli, Islem Rekik
Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. PRIME@MICCAI (2020)
Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik
Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint. CoRR (2020)
Nicolas Georges, Islem Mhiri, Islem Rekik, Alzheimer's Disease Neuroimaging Initiative
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks. Pattern Recognit. 101 (2020)
Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. 64 (2020)
Ahmed Nebli, Islem Rekik
Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping. CoRR (2020)
Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI. PRIME@MICCAI (2020)
Megi Isallari, Islem Rekik
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. MLMI@MICCAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Islem Rekik