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    Benjamin Billot

    PHD Student at UCL

    Benjamin Billot is a researcher specializing in medical image analysis, with a focus on brain MRI segmentation and deep learning techniques.12 He completed his PhD in Computer Vision and Neuroimaging at University College London (UCL) from 2018 to 2022.34

    Billot's research primarily involves developing advanced algorithms for brain MRI analysis, including:

    1. Contrast-agnostic MRI segmentation1
    2. Automated segmentation of brain structures1
    3. Super-resolution techniques for brain MRI1

    His work has been widely cited, with over 1,400 citations according to Google Scholar.1 Some of his notable publications include:

    • "SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining" (2023)1
    • "SynthMorph: learning contrast-invariant registration without acquired images" (2021)1
    • "Automated segmentation of the hypothalamus and associated subunits in brain MRI" (2020)1

    Prior to his PhD, Billot completed a Master's degree in neuro-technology at Imperial College London in 2016.2 He has also worked in the AI team at the start-up incubator Founders Factory.2

    Currently, Billot is a postdoctoral researcher at the Massachusetts Institute of Technology (MIT), continuing his work in medical image analysis.1

    Highlights

    ‪Benjamin Billot‬ - ‪Google Scholar‬

    Related Questions

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    Benjamin Billot
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    Location

    London Area, United Kingdom
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