Brain And SIgnal Research & Analysis laboratory
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
Open Code: 6 Myths Debunked @OHBM
Promoting Open Science and Code I had the pleasure to participate in the “Open Code: 6 Myths Debunked” panel discussion
Mediterranean and African Summer School on AI
Dr Rekik has participated in the MASSAI 2022 Summer School ESPRIT, in collaboration with ENIT/LAMSIN, is organizing the first edition
Join the 2nd Edition of the FAIR workshop!
Let it be fair with #FAIR 2022! Let it be fair with #FAIR 2022! We are looking for contributions on: (a) making #AI #affordable for #healthcare, (b) making
Join the 5th Edition of PRIME-MICCAI!
Design predictive intelligence methods and get them published! This workshop will mediate ideas from both machine learning and mathematical/statistical/physical modeling
WiM in STEM: Networking & Professional Development
Women in STEM Networking & Professional Development keynote Join us for this exciting international networking and professional development event, organised
7 Future Directions of Artificial Intelligence
Futuristic predictions reveal that the rise of artificial intelligence (AI) will eliminate 85 million jobs, create 97 million new ones
Become a member of the RISE-MICCAI Network now!
We are delighted to announce the foundation of the RISE MICCAI network, which was officially approved and supported by the
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-pres)
Former President of Women in MICCAI (WiM) (2019-2021)
For applications, please send your CV to i.rekik@imperial.ac.uk
Highlights
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
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