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
Dr Islem Rekik has been awarded the Marie Skłodowska-Curie Fellowship (success rate 13% in Europe) for 2 years, starting from
Dr Islem Rekik has been awarded the TUBITAK 2232 fellowship for outstanding researchers under the category of experienced researchers
Dr Rekik receiving the MICCAI Educational Challenge Award (Shenzhen, China) Dr Islem Rekik received the MICCAI Educational Challenge (MEC) 2019 Award (2nd
WiM 2019 Lunch and Networking Events, Shenzhen (China) We invite you all to join us at this lunch event that
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
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
Ismail and Goktug's paper on machine learning methods for brain network classification is accepted for publication in the journal of Neuroscience Methods (IF: 2.78)!
May 28, 2020
Nicolas and Islem's paper on identifying the best data-driven feature selection method for boosting reproducibility in classification tasks is accepted for publication in the journal of Pattern Recognition (IF: 5.89)!
Dec 24, 2019
Islem Mhiri's paper on brain network atlas-guided feature selection (NAG-FS) for neurological disorder diagnosis is accepted for publication in the journal of Medical Image Analysis (IF: 8.88)!
Oct 28, 2019
Salma's paper on estimating connectional maps of the brain is accepted for publication in the journal of Medical Image Analysis (IF: 8.88)!
Sep 28, 2019