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 multimodal brain connectional templates for healthy and disordered populations is accepted by ISBI 2018 conference.


Dec 21, 2017

Samya’s papers on automatic brain lesion
segmentation were accepted by VISAPP
and ICAART conferences.

Nov 19, 2017

Congratulations to Mayssa Soussia for her Best Paper Award at MICCAI Connectomics in Neuroimaging workshop!

Sep 14, 2017

Maysa’s paper on diagnosing autism spectrum disorder using connectomic multi-kernel manifold learning has been accepted by MICCAI CNI workshop. Congratulations!

Jul 13, 2017

Anna’s paper on devising pairing-based ensemble classifier learning using convolutional brain multiplexes for dementia diagnosis has been accepted by MICCAI CNI workshop. Congratulations!

Jul 13, 2017

Carrie’s paper on sparse connectomic graph learning and embedding for disease classification has been accepted by MICCAI GRAIL workshop. Congratulations!

Jul 12, 2017


join us


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

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