Islem Rekik
Associate Professor in Computing
Directs BASIRA lab on graph neural networks for brain connectivity and predictive intelligence in medicine.
Islem Rekik's lab at Imperial works on medical imaging & healthcare AI, neuroscience & brain-computer interfaces and graph learning. 39 papers since 2023. 2 PhD students and 4 master's students. 24 alumni. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 0%
- PhD students
- 2
- MS students
- 4
- alumni listed
- 24
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 0
- 13 papers2024 · T1 0
- 12 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Graph learning26 papers
- Neuroscience & brain-computer interfaces15 papers
- graph neural8 papers
- Medical imaging & healthcare AI5 papers
- predictive0 papers
Paper list
From the lab homepage.
20267 papers
- Annual Conference on Neural Information Processing Systems (NeurIPS), December 8-10, Sydney, Australia .Brain Economy-Aligned Graph Transformers
- Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IF: 20.4 . [Code]DetlaGNN: Graph Neural Network with Information Flow Control
- —Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence? From Human Cognition to AI Reasoning: Models, Methods, and Applications (HCAIR) workshop @(ICLR), April 23-26, Rio, Brazil (2026).
- Conference on Empirical Methods in Natural Language Processing (EMNLP), October 24-29, Budapest, Hungary . [Code]GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation
- International Conference on Learning Representations (ICLR), April 23-26, Rio, Brazil .HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
- Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IF: 20.4 .Reservoir-Based Graph Convolutions
- Journal of Knowledge-Based Systems, IF: 8, .UA-TFCAM: An Uncertainty-Aware Tensor Fusion Co-Attention Model for Multimodal Brain-Eye Cognitive Assessment
20257 papers
- Workshop on Deep Generative Models (DGM4MICCAI), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Sep. 23-27, Daejeon .CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
- Empirical Methods in Natural Language Processing (EMNLP), Nov. 04-09, Suzhou, China .Dependency Parsing-Based Syntactic Enhancement of Relation Extraction in Scientific Texts
- —FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, BMJ (IF: 93.7) (2025).
- Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR), International Conference on Principles of Knowledge Representation and Reasoning (KR), Nov. 11-17, Melbourne, Australia .HA-GNN: Learning Acyclic Hierarchies in Scientific Text with Hierarchy-Aware Graph Neural Networks
- Journal of Medical Image Analysis, IF: 10.7 .Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
- Journal of Neural Networks, IF: 6 .Replica Tree-based Federated Learning using Limited Data
- IEEE International Symposium on Biomedical Imaging (ISBI), .Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection
202413 papers
- —Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis, Journal of Frontiers in Neurology, IF: 3.55 (2024).
- IEEE International Conference on Bioinformatics and Biomedicine (BIBM), .B Tassew, M Adeel Ijaz, G Chen and I Rekik. Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), .C Adnel and I Rekik. FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs. Journal of IEEE Transactions on Neural Networks and Learning Systems, IF: 10.2 .K Cengiz and I Rekik. Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis, Journal of Frontiers in Neurology, IF: 3.55 .K Mancini and I Rekik. DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling. Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. (Oral presentation) [Code] [YouTube]M Soussia, M.A. Mahjoub and I Rekik. Generative Hypergraph Neural Network for Multiview Brain Connecitivity Fusion. Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. (Oral presentation) [Code] [YouTube]S. Xiao and I. Rekik. DynGNN: Dynamic Memory-enhanced Generative GNNs for Predicting Temporal Brain Connectivity. Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code]P. Singh and I. Rekik. Strongly Topology-preserving GNNs for Brain Graph Super-resolution. Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code] [YouTube]A. Hassani and I. Rekik. UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks. Workshop on Machine Learning in Medical Imaging (MLMI), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code] [YouTube]J. Liu, F. Pala, D. Shen and I. Rekik. DHSampling: Diversity-based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification. Workshop on Machine Learning in Medical Imaging (MLMI), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code] [YouTube]Liu, F. Liu, K. Sun, Y. Sun, J. Huang, C. Jiang, I. Rekik and D. Shen. UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh.K. Belghiti, I. Rekik, S. Selim, M. Mounia and M. Rhanoui. Spatial Attention-Enhanced Diffusion Model for Multiple Sclerosis MRI Synthesis. Workshop on “Empowering MEdical information computing & Research through early-career Expertise” (EMERGE), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh.H Jiang, S Zhang, X Wen, H Cui, J Lu, I Rekik, J Ma, G Chen, “Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise”, IEEE International Symposium on Biomedical Imaging (ISBI), 1-5.Cross-Atlas Brain Connectivity Mapping with Dual-Conditional Diffusion Model
- Workshop on Machine Learning in Medical Imaging (MLMI), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code] [YouTube]DHSampling: Diversity-based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification
- Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. (Oral presentation) [Code] [YouTube]DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
- Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code]DynGNN: Dynamic Memory-enhanced Generative GNNs for Predicting Temporal Brain Connectivity
- —FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs. Journal of IEEE Transactions on Neural Networks and Learning Systems, IF: 10.2 (2024).
- Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. (Oral presentation) [Code] [YouTube]Generative Hypergraph Neural Network for Multiview Brain Connecitivity Fusion
- —H Jiang, S Zhang, X Wen, H Cui, J Lu, I Rekik, J Ma, G Chen, “Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise”, 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5.
- —Scalable and Efficient Multigraph Integration with Sparse-Clustered Deep Graph Normalization, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.
- Workshop on “Empowering MEdical information computing & Research through early-career Expertise” (EMERGE), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh.Spatial Attention-Enhanced Diffusion Model for Multiple Sclerosis MRI Synthesis
- Workshop on Predictive Intelligence in Medicine (PRIME), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh. [Code] [YouTube]Strongly Topology-preserving GNNs for Brain Graph Super-resolution
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Oct. 6-11, , Marrakesh.UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
202312 papers
- MILLanD MICCAI , Vancouver (Oral Presentation). Check out the YouTube Video on CQSIGN and our CQSIGN code.Affordable Graph Neural Network Framework using Topological Graph Contraction
- Journal of the Neurological Sciences 455, IF: 3.03 .Deep learning brain connectivity augmentation for differentiating Alzheimer’s disease from mild cognitive impairment using limited data
- PRIME MICCAI , Vancouver. Check out the YouTube Video on Dif-GSR and our Dif-GSR code.Diffusion-Based Graph Super-Resolution with Application to Connectomics
- PRIME MICCAI , Vancouver. Check out the YouTube Video on FMDGNN and our FMDGNN code.Federated Multi-domain GNN Network for Brain Multigraph Generation
- PRIME MICCAI , Vancouver. Check out the YouTube Video on FedGmTE-Net and our FedGmTE-Net code.Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting
- DGM4MICCAI MICCAI , Vancouver (Oral Presentation). Check out the YouTube Video on Fed2M and our Fed2M code.Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Learning
- In IEEE International Conference on Data Science and Advanced Analytics (DSAA) Oct 9 (pp. 1-10). IEEE.Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data
- ShapeMI MICCAI , Vancouver. Check out our ShapePrediction code.Predicting Shape Development: A Riemannian Method
- MLMI MICCAI , Vancouver (Oral Presentation). Check out the YouTube Video on RepFL and our RepFL code.Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution
- PRIME MICCAI , Vancouver. Check out our RepNet code.RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery
- PRIME MICCAI , Vancouver (Oral Presentation). Check out the YouTube Video on TAF-GNN and our TAF-GNN code.Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline
- Intelligent Medicine, IF: 4.4 .Transformers in medical image analysis
Where alumni went24 listed
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
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- GRE
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- English
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- Fee
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