Mohammadreza Soltaninejad

PhD, Computer Science

Computer Scientist in Ultrasound Image Analysis

PI group: Prof Sally Collins

Mohammadreza Soltaninejad is a research scientist in the field of Image Analysis and Computer Vision. His research focuses on the development of volumetric deep learning models for 3D bioimage segmentation (MRI, CT and Ultrasound). He received the M.Sc. degree in Electrical-Biomedical Engineering from the University of Tehran and the Ph.D. degree in Computer Science from the University of Lincoln, U.K., in 2018. He had a Postdoctoral Research Fellowship at the University of Nottingham. He is currently working on deep learning for ultrasound image analysis with Prof Sally Collin's research team.

Recent publications

Reference charts for first-trimester placental three-dimensional fractional moving blood volume derived using OxNNet.

Mathewlynn S. et al, (2026), Ultrasound Obstet Gynecol, 67, 191 - 200

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