Brain And SIgnal Research & Analysis laboratory

Develop your research skills in AI
“My training has given me the tools and the confidence to understand and critically assess the contents of research papers so that I can direct my own research.”
Can Gafuroğlu (Undergrad student)

Applications for internships are open now.
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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.

Highlights

Christopher’s paper on “FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs” is accepted for publication in the journal of IEEE Transactions on Neural Networks and Learning Systems (IF: 10.2)!

Congratulations!

November 11, 2024

We have 8 papers accepted for publication in the LNCS Springer proceedings of the main MICCAI 2024 and workshops (PRIME, MLMI, GRAIL, EMERGE)!

Congratulations everyone!

August 29, 2024

We’re co-organizing the first Summer School on “Fair Federated AI” in conjunction of the RISE-MICCAI!

June 1, 2024

We’re co-organizing 3 MICCAI 2024 Workshops (EPIMI, PRIME and MLMI) and a new Tutorial on “GNNs in Network Neuroscience” (GiNN)

May 25, 2024

Kubra’s paper on cortical morphological networks for profiling autism spectrum disorder using tensor component analysis is accepted for publication in the journal of Frontiers in Neurology (IF: 2.7)!

Congratulations!

May 13, 2024

We have 9 papers accepted for publication in the LNCS Springer proceedings of the MICCAI 2023 workshops (PRIME, MLMI, ShapeMI, MILLanD & DGM4MICCAI) and 4 selected for oral presentations!

Congratulations everyone!

July 25, 2023

Mert Can’s paper on GNN based unsupervised influential sample selection is accepted for publication in the journal of Computerized Medical Imaging and Graphics (IF: 7.42)!

Congratulations!

July 18, 2023

Nada’s comparative survey paper on multigraph population integration/fusion methods is accepted for publication in the journal of Medical Image Analysis (IF: 13.82)!

Congratulations!

December 12, 2022

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