Yi Yin
Postdoctoral Research Associate
- PI Group: Prof Sally Collins
BEng MSc DPhil
I am an image processing scientist focusing on the medical image analysis. My responsibility is to develop automated deep learning method and software for placental and vascular assessment based on 3D ultrasound scans.
Key publications
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Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan
Conference paper
Yin Y. et al, (2020), Medical Imaging 2020: Computer-Aided Diagnosis
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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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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)
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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