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.

PRESENTATION

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 basiralab@gmail.com 

or

Highlights

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

Congratulations!

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

Salma's paper on estimating brain network atlases for healthy and disordered populations  is accepted for publication in the Journal of Neuroscience MethodsCongratulations!

September 25, 2018

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

Rory's paper on multi-view morphological brain multiplex for early mild cognitive impairment diagnosis is accepted for publication in IEEE Access journal. Congratulations!

July 28, 2018

Nicolas's paper on data-specific feature selection method identification for most reproducible connectomic feature discovery is accepted for publication in CNI-MICCAI2018 LNCS Springer proceedings. Congratulations!

July 20, 2018

Alaa's paper on intact connectional brain morphometricy for brain disorder fingerprint identification is accepted for publication in CNI-MICCAI2018 LNCS Springer proceedings. Congratulations!

July 20, 2018

Nesrine's paper on dynamic multi-scale CNN forest learning for cervical cancer segmentation is accepted for publication in MLMI-MICCAI2018 LNCS Springer proceedings. Congratulations!

July 19, 2018

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WANT TO JOIN OUR LAB ?

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

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