Brain And SIgnal Research & Analysis laboratory
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
We are organizing MICCAI 2019 Grand Challenge on Connectomics in NeuroImaging (CNI) Transfer Learning!
We are organizing MICCAI 2019 Grand Challenge on Connectomics in NeuroImaging (CNI) Transfer Learning! We’re organizing the third workshop on
PRIME-MICCAI: The second workshop on “PRedictive Intelligence in MEdicine” at MICCAI, Shenzheng 2019!
PRIME-MICCAI: The 2nd workshop on “PRedictive Intelligence in MEdicine” at MICCAI, Shenzheng 2019 We’re organizing the 2nd workshop on “PRedictive Intelligence in
Congratulations to Can Gafuroğlu for winning the Young Software Engineer of Scotland! Can’s work on “Joint prediction and Classification of
Subscribe to our BASIRA Lab YouTube channel & watch our videos! To follow our recent published research works, you
6 papers accepted at MICCAI workshops (MLMI, PRIME, CNI) 2018! For more information about our accepted papers in the main
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 firstname.lastname@example.org
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 Access. Congratulations!
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