Yi Yin

Honorary Research Fellow

BEng MSc PhD

Yi is an Honorary Research Fellow focusing on medical imaging, AI application and interdisciplinary innovation.

She is currently a Lecturer in Machine Learning for Health at the University of Bristol.

She is the co-inventor and lead developer of OxNNet, a fully automated toolkit to predict fetal growth restriction and other adverse pregnancy outcomes.

Key publications

3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound.

Yin Y. et al, (2024), IEEE Trans Med Imaging, 43, 2707 - 2717

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment.

Looney P. et al, (2021), IEEE Trans Ultrason Ferroelectr Freq Control, 68, 2038 - 2047

Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer.

Yin Y. et al, (2018), IEEE Trans Med Imaging, 37, 35 - 46

Recent publications

First-trimester Placental Ultrasound (FirstPLUS) study: prediction of fetal growth restriction using OxNNet-derived first-trimester placental volume.

Mathewlynn S. et al, (2026), Ultrasound Obstet Gynecol, 67, 49 - 59

3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound.

Yin Y. et al, (2024), IEEE Trans Med Imaging, 43, 2707 - 2717

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment.

Looney P. et al, (2021), IEEE Trans Ultrason Ferroelectr Freq Control, 68, 2038 - 2047

More publications

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Yi Yin

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Yi Yin

Key publications

3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound.

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment.

Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer.

Recent publications

First-trimester Placental Ultrasound (FirstPLUS) study: prediction of fetal growth restriction using OxNNet-derived first-trimester placental volume.

3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound.

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment.