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
Participate in the WILL now! We are warmly inviting you all to participate in the WILL initiative, which is a premiere competition launched
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, 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 firstname.lastname@example.org
Nada's paper on multigraph classification using learnable integration network with application to gender fingerprinting is accepted for publication in the journal of Neural Networks (IF: 8.05)!
Congratulations to all!
March 29, 2022
Ahmed's paper on investigating the reproducibility of graph neural networks is accepted for publication in the journal of Neural Networks (IF: 8.05)!
Congratulations to all!
January 27, 2022
Seymanur's paper on the machine learning Kaggle competition for predicting the evolution of brain connectivity from a baseline timepoint is accepted for publication in the journal of Neuroscience Methods (IF: 2.78)!
December 21, 2021
Martin's paper on predicting cognitive scores with graph neural networks through sample selection learning is accepted for publication in the journal of Brain Imaging and Behavior (IF: 3.39)!
October 7, 2021
We have 10 papers accepted for publication in the LNCS Springer proceedings of the main MICCAI 2021 conference & MICCAI workshops (PRIME, MLMI, FAIR & ML-CDS)! 6 out of 10 are from ITU undergraduate students.
August 24, 2021
Become a member of the RISE Network to support minority researchers in low-middle-income countries.
Fill out the Google form at https://bit.ly/2VMPHXc
Let us RISE together!
August 18, 2021