About Me
I am currently reading for a DPhil in Computer Science jointly supervised by Dr. Ana IL Namburete and Dr. Michael Gray, based at the Department of Computer Science. I am generously funded by the Clarendon Fund. In my research, I apply 3D reconstruction techniques commonly used in computer vision to fetal brain imaging. Specifically, I am developing NeRF-like models for ultrasound images to remove shadows and artifacts, thereby improving the diagnostic value of ultrasound imaging for fetal brain assessment.
Educational Background
Prior to starting my PhD, I earned my undergraduate degree in Biomedical Engineering with a strong focus on medical image processing from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). For my final project, I used known operator learning to remove motion artifacts in weight-bearing CT images at Dr. Adam Wang’s group.
In addition to completing a consecutive Master’s degree in Medical Image and Data Processing at FAU, I earned a second double degree from FAU and Università della Svizzera italiana, Lugano in Computational Engineering/Computational Science.
Personal Interests
When not working on my research, I spend most of my time outdoors, climbing, hiking, and road cycling through Oxfordshire and the Cotswolds.
My Publications
Search for Valentin Bacher's papers on the Publications page