Islem Rekik
Orcid: 0000-0001-5595-6673
According to our database1,
Islem Rekik
authored at least 145 papers
between 2013 and 2024.
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Bibliography
2024
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios.
CoRR, 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data.
CoRR, 2024
DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Graph neural network based unsupervised influential sample selection for brain multigraph population fusion.
Comput. Medical Imaging Graph., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Comparative survey of multigraph integration methods for holistic brain connectivity mapping.
Medical Image Anal., April, 2023
Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions.
IEEE Trans. Medical Imaging, 2023
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks.
Medical Image Anal., 2023
CoRR, 2023
CoRR, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
Template-based graph registration network for boosting the diagnosis of brain connectivity disorders.
Comput. Medical Imaging Graph., 2023
Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2022
Quantifying the reproducibility of graph neural networks using multigraph data representation.
Neural Networks, 2022
Multigraph classification using learnable integration network with application to gender fingerprinting.
Neural Networks, 2022
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification.
CoRR, 2022
Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022
2021
MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
NeuroImage, 2021
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal., 2021
Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting.
Medical Image Anal., 2021
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity.
Medical Image Anal., 2021
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations.
Medical Image Anal., 2021
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint.
Medical Image Anal., 2021
Medical Image Anal., 2021
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph.
Medical Image Anal., 2021
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint.
CoRR, 2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data.
CoRR, 2021
Predicting cognitive scores with graph neural networks through sample selection learning.
CoRR, 2021
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
A Federated Multigraph Integration Approach for Connectional Brain Template Learning.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping.
Proceedings of the Information Processing in Medical Imaging, 2021
Boosting CNN Learning by Ensemble Image Preprocessing Methods for Cervical Cancer Segmentation.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
2020
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks.
Pattern Recognit., 2020
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.
NeuroImage, 2020
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism.
Medical Image Anal., 2020
Brain graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning.
Medical Image Anal., 2020
Estimation of connectional brain templates using selective multi-view network normalization.
Medical Image Anal., 2020
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.
Medical Image Anal., 2020
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR, 2020
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks.
CoRR, 2020
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Context-Aware Synergetic Multiplex Network for Multi-organ Segmentation of Cervical Cancer MRI.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and Hypergraph Neural Network.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019
Medical Image Anal., 2019
Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis.
CoRR, 2019
Complex., 2019
Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis.
Brain Connect., 2019
Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging.
IEEE Access, 2019
7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
2018
Neuroinformatics, 2018
Neurocomputing, 2018
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis.
Frontiers Neuroinformatics, 2018
Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes.
IEEE Access, 2018
Dynamic Multiscale Tree Learning using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Bayesian Network and Structured Random Forest Cooperative Deep Learning for Automatic Multi-label Brain Tumor Segmentation.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Semi-automatic lymph node segmentation and classification using cervical cancer MR imaging.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018
2017
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children.
Pattern Recognit., 2017
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.
NeuroImage, 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].
Medical Image Anal., 2017
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.
NeuroImage, 2016
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.
Medical Image Anal., 2016
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016
2015
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.
Proceedings of the Information Processing in Medical Imaging, 2015
2013
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas.
Comput. Vis. Image Underst., 2013
Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data.
Comput. Math. Methods Medicine, 2013