Brain And SIgnal Research & Analysis laboratory
Principal Prof Sir Pete Downes
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
1st meeting of the SINAPSE Image Analysis group at the University of Dundee Dr Rekik and Dr Gordon co-hosted the
Academic meets industry: Toshiba Medical Visualization Systems visit in Edinburgh Toshiba Medical Visualization Systems (http://www.tmvse.com) in Edinburgh (UK) was established
3 papers accepted for publication at MICCAI 2017 workshops! The connectional wiring of the human brain has become a feature
Islem Rekik, Ph.D.
Salma’s paper on estimating multimodal brain connectional templates for healthy and disordered populations is accepted by ISBI 2018 conference.
Dec 21, 2017
Samya’s papers on automatic brain lesion
segmentation were accepted by VISAPP
and ICAART conferences.
Nov 19, 2017
Congratulations to Mayssa Soussia for her Best Paper Award at MICCAI Connectomics in Neuroimaging workshop!
Sep 14, 2017
Maysa’s paper on diagnosing autism spectrum disorder using connectomic multi-kernel manifold learning has been accepted by MICCAI CNI workshop. Congratulations!
Jul 13, 2017
Anna’s paper on devising pairing-based ensemble classifier learning using convolutional brain multiplexes for dementia diagnosis has been accepted by MICCAI CNI workshop. Congratulations!
Jul 13, 2017
Carrie’s paper on sparse connectomic graph learning and embedding for disease classification has been accepted by MICCAI GRAIL workshop. Congratulations!
Jul 12, 2017