Islem Rekik

According to our database1, Islem Rekik authored at least 136 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data.
CoRR, 2024

2023
Graph neural network based unsupervised influential sample selection for brain multigraph population fusion.
Comput. Medical Imaging Graph., September, 2023

Graph Neural Networks in Network Neuroscience.
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

Replica Tree-based Federated Learning using Limited Data.
CoRR, 2023

FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs.
CoRR, 2023

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

Federated Multi-domain GNN Network for Brain Multigraph Generation.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Predicting Shape Development: A Riemannian Method.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Diffusion-Based Graph Super-Resolution with Application to Connectomics.
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

Affordable Graph Neural Network Framework Using Topological Graph Contraction.
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

Contrastive Graph Learning for Population-based fMRI Classification.
CoRR, 2022

Transformers in Medical Image Analysis: A Review.
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

Training Hacks and a Frugal Man's Net with Application to Glioblastoma Segmentation.
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

Brain multigraph prediction using topology-aware adversarial graph neural network.
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

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

Deep Hypergraph U-Net for Brain Graph Embedding and Classification.
CoRR, 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

Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification.
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
Computational neuroanatomy of baby brains: A review.
NeuroImage, 2019

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019

Automatic brain labeling via multi-atlas guided fully convolutional networks.
Medical Image Anal., 2019

Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis.
CoRR, 2019

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

Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States.
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
Special Issue on High Performance Computing in Bio-medical Informatics.
Neuroinformatics, 2018

Tree-based Ensemble Classifier Learning for Automatic Brain Glioma Segmentation.
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

Malignant Brain Tumor Classification Using the Random Forest Method.
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

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

XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference.
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

High-order Connectomic Manifold Learning for Autistic Brain State Identification.
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

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep random forest-based learning transfer to SVM for brain tumor segmentation.
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


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