Brain And SIgnal Research & Analysis laboratory

BASIRA welcomes under-grad and MSc students who are very keen to learn about the brain, image analysis, machine learning and other related hot research topics from scratch. If you are interested, please contact us and send your CV and cover letter.
We’re Scottish University of the years 2016-2017!
“Our record in recent years on student experience is remarkable. I know from speaking to our students how much they enjoy their time here at Dundee.”
Principal Prof Sir Pete Downes


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 (lecturer)
Director, BASIRA Lab
Member of CVIP group
School of Science and Engineering Department of Computing
University of Dundee


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

Anna's paper on decoding emotional intelligence brain construct using functional connectomic data is accepted for publication in PRIME-MICCAI2018 LNCS Springer proceedings. Congratulations!

July 15, 2018

Minghui's paper on predicting target multi-view brain networks from a source view is accepted for publication in PRIME-MICCAI 2018 LNCS Springer proceedings. Congratulations!

July 15, 2018

Anna's paper on joint pairing and structured mapping of convolutional brain morphological multiplexes for early dementia diagnosis is accepted for publication in Brain Connectivity. Congratulations!

June 21, 2018

Samya's paper on tree-based ensemble classifier learning for automatic brain glioma segmentation is accepted for publication by Neurocomputing. Congratulations!

June 2, 2018



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

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