Yael Balbastre
Newton International Fellow at University College London
y.balbastre at ucl.ac.uk
Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London
26 Bedford Way, London WC1H 0AP
I work on various aspects of medical image computing, with a focus on neuroimaging. I am particularly interested in generative probabilistic models, and how they can be integrated with machine learning techniques. I have worked, among other things, on Bayesian shape modelling, image segmentation and registration, and quantitative MRI. Recently, I have focused on multimodal image registration and vasculature segmentation, with the aim of building cellular-resolution atlases of the human brain.
Before (re)joining University College London (UCL), I was a faculty member at the Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). Previously, I was a postdoctoral fellow with Bruce Fischl at MGH/HMS, and with John Ashburner and Martina Callaghan at UCL. I completed my PhD at the French Alternative Energies and Atomic Energy Commission (CEA), in the MIRCen and NeuroSpin laboratories, advised by Thierry Delzescaux and Jean-François Mangin.
news
Mar 01, 2024 | I am starting a new adventure at University College London as a Newton International Fellow, where I will work on High-resolution spatiotemporal models of the brain across the lifespan for diagnosis and decision-making. |
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Feb 26, 2024 | Sean’s paper on “Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI” was accepted at CVPR 2024! |
Jan 16, 2024 | We have a website! |
selected publications
- Sci.Adv.A cellular resolution atlas of Broca’s areaScience Advances, 2023
- MRMCorrecting inter-scan motion artifacts in quantitative R1 mapping at 7TMagnetic Resonance in Medicine, 2022
- MedIAModel-based multi-parameter mappingMedical Image Analysis, 2021