Brain And SIgnal Research & Analysis laboratory
WANT TO JOIN OUR LAB ?
If you are interested, please contact us and send your CV and letter of motivation to i.rekik@imperial.ac.uk
Our mission
The BASIRA (Brain And SIgnal Research & Analysis) Lab mission aims to develop inclusive, affordable and robust AI models and solutions that can thrive in low-to-high resource settings. We are currently working on decreasing the compute overhead of data-hungry deep learning models across a variety of learning tasks, datasets and infrastructures. Since 2018, we pioneered the field of generative neuroAI, where we introduced the first generation of generative graph neural network models, evidenced by our 60+ peer-reviewed research projects, with application to network neuroscience to generate high-cost brain network data across time, resolutions and domains from a low-cost input. So far, our application areas include network neuroscience, connectomics, medical imaging and vision data. We are dedicated to training and empowering under-represented researchers in AI, fostering new synergies to address global challenges, such as the disparity in medical imaging.
At BASIRA, we empower our members, nurture their talent, and train them to stand out.
News and Events
Islem Rekik, Ph.D.
Director, BASIRA Lab
Assoc. Professor at Imperial College London (I-X Hub)
Marie Skłodowska-Curie Horizon2020 Fellowship Alumni
TUBITAK 2232 for Outstanding Researchers Awardee
President of the RISE-MICCAI (2021-2025)
Former President of Women in MICCAI (WiM) (2019-2021)
For applications, please send your CV to i.rekik@imperial.ac.uk
Highlights
Geng’s paper on “Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios” is accepted for publication in the journal of IEEE Transactions on Medical Imaging (IF: 9.8)!
Congratulations!
Oct 30, 2025
Prajit’s paper on “FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification” is accepted for publication in the NeurIPS 2025 Workshop!
Congratulations!
Sep 23, 2025
Devvrat’s paper on “HA-GNN: Learning Acyclic Hierarchies in Scientific Text with Hierarchy-Aware Graph Neural Networks” is accepted for publication in the KR’25 Conference Workshop!
Congratulations!
August 20, 2025
Devvrat’s paper on “Dependency Parsing-Based Syntactic Enhancement of Relation Extraction in Scientific Texts” is accepted for publication in the Main EMNLP Conference Findings!
Congratulations!
August 20, 2025
We have 7 papers accepted for publication in the LNCS Springer proceedings of the main MICCAI 2025 and workshops (AMAI, PRIME, GRAIL, CLIP, DGM4MICCAI), with 4 papers selected for oral presentations!
Congratulations everyone!
August 6, 2025
Michalis’s paper on “Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data” is accepted for publication in the Journal of Medical Image Analysis (IF: 10.7)!
Congratulations!
March 3, 2025
Our FUTURE-AI Consortium paper on “FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare” is accepted for publication in the BMJ (IF: 93.7)!
Big congratulations to KL and all co-authors!
February 20, 2025
