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.


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 (image, shape and network) gets affected by neuropsychiatric diseases such as autism or neurodegenerative disorders such as dementia. 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

Islem Rekik, Ph.D.

Assistant Professor at İTÜ Faculty of Computer and Informatics Engineering
Director, BASIRA Lab
Honorary researcher at
School of Science and Engineering Department of Computing, University of Dundee

For applications, please send your CV to 



Olfa's paper on multi-view learning-based data proliferator for boosting classification using highly imbalanced classes is accepted for publication in the Journal of Neuroscience Methods


July 1, 2019

Two accepted papers at MICCAI 2019 and the first from the continent of Africa (propelling geographically diverse publications at MICCAI)! Big congratulations to Alaa and Baha for their works on designing predictive intelligence in medicine

June 29, 2019

Josh's paper on morphological brain age prediction using multi-view brain networks derived from cortical morphology is accepted for publication in the Journal of Nature Scientific Reports


June 24, 2019

We're organizing the 2nd Workshop on
PRedictive Intelligence in Medicine
(PRIME) and co-chairing the 3rd edition
of “Connectomics in NeuroImaging
workshop at MICCAI 2019, in Shenzhen, China!

May 27, 2019

Ahmed's paper on gender differences in cortical morphological networks  is accepted for publication in the Journal of Brain Imaging and Behavior


April 30, 2019

Elizabeth's paper on predicting intelligence scores from functional connectomes  in individuals with autism spectrum disorder  is accepted for publication in the Journal of Brain Imaging and Behavior


April 8, 2019

Congratulations to Nesrine for her best PhD presentation award at the ENISo PhD research symposium!

March 1st, 2019

Nesrine's paper on cross-view self-similarity using shared dictionary learning for cervical cancer staging  is accepted for publication in the Journal of IEEE AccessCongratulations!

February 19, 2019

Mayssa's paper on unsupervised manifold learning using high-order morphological brain networks derived from T1-w MRI  is accepted for publication in Frontiers in Neuroinformatics journal. Congratulations!

September 20, 2018



If you are interested, please contact us and send your CV and letter of motivation.

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