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Dr Robinson's research focuses on the development of computational methods for brain imaging analysis, and covers a wide range of image processing and machine learning topics. Most notably, her software for cortical surface registration (Multimodal Surface Matching, MSM) has been central to the development of of the Human Connectome Project’s “Multi-modal parcellation of the Human Cortex “ (Glasser et al, Nature 2016), and has featured as a central tenet in the HCP’s paradigm for neuroimage analysis (Glasser et al, Nature NeuroScience 2016). This work has been widely reported in the media including Wired, Scientific American, and Wall Street Journal). Current research interests are focused on the application of advanced machine learning, and particularly Deep Learning to diverse data sets combining multi-modality imaging data with genetic samples. We are particualrly interested in building sensitive models of cognitive development and developmental outcome for prematurely born babies from data collected for the Developing Human Connectome Project (dHCP).
研究兴趣
论文共 106 篇作者统计合作学者相似作者
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medrxiv(2024)
G Ball,S Oldham,V Kyriakopoulou,L Z J Williams,V Karolis, A Price,J Hutter,M L Seal, A Alexander-Bloch,J V Hajnal,A D Edwards,E C Robinson,
bioRxiv : the preprint server for biology (2024)
CoRR (2024)
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Paola Galdi,Manuel Blesa Cabez, Christine Farrugia,Kadi Vaher, Logan Z. J. Williams,Gemma Sullivan, David Q. Stoye,Alan J. Quigley, Antonios Makropoulos,Michael J. Thrippleton, Mark E. Bastin,Hilary Richardson,
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT IV (2023): 312-322
bioRxiv : the preprint server for biology (2023)
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bioRxiv : the preprint server for biology (2023)
PloS oneno. 3 (2023): e0282363-e0282363
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