Yi Yin
Postdoctoral Research Associate
- PI Group: Prof Sally Collins
BEng MSc PhD
I am a senior postdoc focusing on medical image analysis. My responsibility is to develop automated deep learning method and software for placental and vascular assessment based on 3D ultrasound scans.
I am the co-inventor and lead developer of OxNNet, a fully automated toolkit to predict fetal growth restriction and other adverse pregnancy outcomes.
Key publications
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3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound
Journal article
Yin Y. et al, (2024), IEEE Transactions on Medical Imaging, 1 - 1
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Fully Automated 3D Ultrasound Segmentation of the Placenta, Amniotic Fluid and Fetus for Early Pregnancy Assessment
Journal article
Looney P. et al, (2021), IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1 - 1
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Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer
Journal article
Yin Y. et al, (2018), IEEE Transactions on Medical Imaging, 37, 35 - 46
Recent publications
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3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound
Journal article
Yin Y. et al, (2024), IEEE Transactions on Medical Imaging, 1 - 1
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Automated picking of amyloid fibrils from cryo-EM images for helical reconstruction with RELION
Journal article
Thurber KR. et al, (2021), Journal of Structural Biology, 107736 - 107736
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Diffusion-weighted MRI-guided needle biopsies permit quantitative tumor heterogeneity assessment and cell load estimation
Working paper
YIN YI. et al, (2021)