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
Being FAIR is the way to progress in global healthcare! We’re
The future of AI in healthcare lies in designing predictive intelligence. We’re organizing the 4th workshop on “PRedictive Intelligence in MEdicine” (PRIME)
BASIRA Mentorship Application Form Welcome to the BASIRA 2021 Mentorship Program! For application, please fill out the following Google form: https://cutt.ly/8xIIymS
12 papers accepted at the international MICCAI 2020 from BASIRA lab including workshops! BASIRA team members had 12 papers
Islem Rekik featured under the “Women in Science” section in the RSIP magazine! Dr Rekik was featured in the “Women
Days Hours Minutes Seconds WIM Virtual Event Are you wondering about which career trajectory to pursue? What challenges might lie
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
We're co-organizing 3 MICCAI 2021 workshops (FAIR, PRIME and MLMI)! For more check our events and workshops section.
April 30, 2021
Alaa's paper on brain multigraph prediction from a source graph is accepted for publication in the journal of Medical Image Analysis (IF: 11.28)!
April 20, 2021
Megi's paper on brain graph super-resolution using adversarial GNN is accepted for publication in the journal of Medical Image Analysis (IF: 11.28)!
April 15, 2021
Burak's paper on biological multigraph integration is accepted for publication in the journal of Medical Image Analysis (IF: 11.28)!
April 1, 2021
Big congratulations to Islem Mhiri and Ahmed Nebli for having their IPMI paper selected as oral presentation!
March 9, 2021
One accepted paper at IPMI 2021 and the first from the continent of Africa (propelling geographically diverse publications at IPMI)! Big congratulations to Islem and Ahmed for their work on predicting multimodal brain connectivity!
Feb 12, 2021
Abdullah's paper on developing a unified diagnostic classification model using multi-sized and multi-modal brain graphs is accepted for publication in the journal of Neuroscience Methods (IF: 2.93)!
November 27, 2020