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
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
Two MICCAI 2020 student travel awards go to Alaa and Islem! Congratulations to both Alaa (Ph.D candidate at BASIRA lab
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
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
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
Alaa's paper on brain graph synthesis by dual adversarial domain alignment in the journal of Medical Image Analysis (IF: 11.28)!
November 11, 2020
Abubakhari's paper on topology-guided cyclic brain connectivity generation using geometric deep learning is accepted for publication in the journal of Neuroscience Methods (IF: 2.93)!
October 20, 2020
Nada's paper on the estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration is accepted for publication in the journal of Brain Imaging and Behavior (IF: 3.39)!
September 20, 2020
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: 11.28)!
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:11.28)!
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