Brain And SIgnal Research & Analysis laboratory

Develop your research skills in brain data learning
“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.
Previous slide
Next slide

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

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

Zeynep’s paper on federated brain graph evolution prediction with temporally-varying acquisitions is accepted for publication in the journal of IEEE Transactions on Medical Imaging (IF: 11.03)!

Congratulations!

November 21, 2022

Zeynep’s paper on graph registration network for brain connectivity classification is accepted for publication in the journal of Computerized Medical Imaging and Graphics (IF: 7.42)!

Congratulations!

November 7, 2022

Oytun’s paper on recurrent multigraph neural networks for predicting the evolution trajectory of population-driven connectional brain templates is accepted for publication in the journal of Medical Image Analysis (IF: 13.82)!

Congratulations!

September 30, 2022

Alaa’s review paper on “Graph Neural Networks in Network Neuroscience” is accepted for publication in the journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 24.31)!

Congratulations!

September 18, 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