Modelling the macroscale human connectome
Event details
| Date | 01.07.2016 |
| Hour | 09:00 › 10:00 |
| Speaker | Three speakers from Biomedical Image Analysis Group (BiomedIA) at Imperial College London, invited by CIBM |
| Location | |
| Category | Conferences - Seminars |
Our speakers will present three short talks about where they will introduce methods for building and analysing a macroscale model of human brain connectivity from Magnetic Resonance Imaging data.
Dr Emma C. Robinson, "Improving connectome modelling via a multi-modal, multi-template approach.”
Emma is a member of the BiomedIA research group. Her main focus is developing image processing and analysis tools for brain connectomics research. To this end she has made major contributions towards the Human Connectome Project (HCP: http://www.humanconnectome.org ) developing a tool for cortical surface alignment (MSM: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/msm ) that has featured in the development of the gold standard HCP Multi-modal Parcellation of the Human Cerebral Cortex. She now works on the developing Human Connectome Project (dHCP: http://www.developingconnectome.org/ ), developing new methods for cortical surface registration that move away from the single population average model of the brain.
Dr Sarah Parisot, "Automatic brain Parcellation: challenges and multi-modal approaches”
Sarah is a research associate at BiomedIA. Her research focuses on graph-based methods for brain analysis and disease detection. She currently works on brain connectome analysis, developing methods for automatic brain parcellation using spectral clustering and graphical models.
Ira S. Ktena, "Computational analysis and modeling of brain networks"
Ira is a PhD student at BiomedIA, under the supervision of Professor Daniel Rueckert. She holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens and an MSc in Biomedical Engineering from Imperial College London. Her current research focuses on the investigation of the human connectome, which is one of the greatest scientific challenges of the 21st century. Her major interest lies in developing methods for modelling and analysing brain networks, whose dynamics can potentially shed light on neurodegenerative and neuropsychiatric disorders.
Dr Emma C. Robinson, "Improving connectome modelling via a multi-modal, multi-template approach.”
Emma is a member of the BiomedIA research group. Her main focus is developing image processing and analysis tools for brain connectomics research. To this end she has made major contributions towards the Human Connectome Project (HCP: http://www.humanconnectome.org ) developing a tool for cortical surface alignment (MSM: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/msm ) that has featured in the development of the gold standard HCP Multi-modal Parcellation of the Human Cerebral Cortex. She now works on the developing Human Connectome Project (dHCP: http://www.developingconnectome.org/ ), developing new methods for cortical surface registration that move away from the single population average model of the brain.
Dr Sarah Parisot, "Automatic brain Parcellation: challenges and multi-modal approaches”
Sarah is a research associate at BiomedIA. Her research focuses on graph-based methods for brain analysis and disease detection. She currently works on brain connectome analysis, developing methods for automatic brain parcellation using spectral clustering and graphical models.
Ira S. Ktena, "Computational analysis and modeling of brain networks"
Ira is a PhD student at BiomedIA, under the supervision of Professor Daniel Rueckert. She holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens and an MSc in Biomedical Engineering from Imperial College London. Her current research focuses on the investigation of the human connectome, which is one of the greatest scientific challenges of the 21st century. Her major interest lies in developing methods for modelling and analysing brain networks, whose dynamics can potentially shed light on neurodegenerative and neuropsychiatric disorders.
Practical information
- General public
- Free
Organizer
- CIBM