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


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.


June 21, 2018

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


June 2, 2018

Can's paper on predicting follow-up images from baseline for enhanced early diagnosis of brain disoders is accepted by MICCAI 2018!


May 25, 2018

Rory's paper on using morphological brain multiplexes for early dementia diagnosis is accepted by MICCAI 2018!


May 25, 2018

We're organizing the 1st Workshop on
“PRedictive Intelligence in Medicine”
(PRIME) and co-chairing the 2nd edition
of “Connectomics in NeuroImaging”
workshop at MICCAI 2018!

Mar 10, 2018

Congratulations to Ines Mahjoub for her
paper on identifying morphological
connectional brain biomarkers
fingerprinting brain dementia states
published in Nature Scientific Reports!

Mar 07, 2018

Nesrine Bnouni’s paper on
Semi-Automatic Lymph Node
Segmentation and Classification is
accepted by ATSIP 2018 conference.


Feb 20, 2018


join us


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

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