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 gets affected by neuropsychiatric or neurodegenerative disorders. 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
ShapeMI: The second workshop on “Shape in Medical Imaging” at MICCAI, Peru 2020! We gladly announce the workshop on Shape in Medical Imaging (ShapeMI), which
PRIME-MICCAI: The 3rd workshop on “PRedictive Intelligence in MEdicine” at MICCAI, Lima 2020 We’re organizing the third workshop on “PRedictive
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
Islem Rekik, Ph.D.
Assistant Professor at İTÜ Faculty of Computer and Informatics Engineering
Director, BASIRA Lab
Marie Skłodowska-Curie Horizon2020 Fellow
For applications, please send your CV to email@example.com
Olfa Ghribi's paper on multi-regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint is accepted for publication in the journal of Medical Image Analysis (IF: 11.14)!
September 14, 2020
Ahmed Nebli's paper on adversarial brain multiplex prediction from a single brain network for gender fingerprinting is accepted for publication in the journal of Medical Image Analysis (IF: 11.14)!
September 7, 2020
We have 9 papers accepted for publication in the LNCS Springer proceedings of MICCAI 2020 workshops (PRIME, MLMI and GRAIL)! 7 out of 9 are from ITU undergraduate students.
August 5, 2020
We have 3 papers accepted at MICCAI 2020!
Congratulations to Alaa, Islem, and Burak (early accept)!
June 23, 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)!
December 24, 2019