Brain And SIgnal Research & Analysis laboratory
BASIRA (Brain And SIgnal Research & Analysis) aims to infuse advanced computer vision and machine-learning methods into big neuroimaging and signal data analysis for improving healthcare and wellbeing. Specifically, since one can look at the brain as an image, a shape, or a connectional network, we aspire to develop advanced image-based, shape-based, and network-based medical data analysis techniques, that will provide a foundation for better understanding normal brain development and ageing, as well as how the brain gets affected by neuropsychiatric or neurodegenerative disorders. We aim to develop algorithms and architectures for mapping the healthy brain and computer-aided tools for examining the diseased/disordered brain.
More broadly, we also aim to devise efficient algorithms that perform several medical image and signal analysis tasks such as segmentation/labeling, registration, prediction, classification and regression.
News and Events
Women in STEM Networking & Professional Development keynote Join us for this exciting international networking and professional development event, organised
Islem Rekik, Ph.D.
Director, BASIRA Lab
Assoc. Professor at Imperial College London (I-X Hub)
For applications, please send your CV to email@example.com
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)!
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)!
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)!
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)!
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)!
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)!
September 18, 2022