Benjamin Zahneisen
About Benjamin Zahneisen
Work at IONpath
Benjamin Zahneisen has been employed at IONpath Inc. as a Senior Software Engineer since 2020. His role involves developing software solutions that enhance the capabilities of IONpath's imaging technologies. Located in Menlo Park, California, IONpath focuses on advanced imaging techniques for biomedical applications. Zahneisen's work contributes to the company's mission of providing innovative tools for researchers and clinicians.
Consultancy at Stanford University
Since 2014, Benjamin Zahneisen has served as a Consultant at Stanford University. In this capacity, he provides expertise in software engineering and medical imaging. His long-term association with Stanford highlights his commitment to advancing research and development in biomedical engineering. His work supports various projects that leverage his extensive knowledge in signal and image processing.
Education and Expertise
Benjamin Zahneisen holds a Doctor of Philosophy (Ph.D.) in Physics from The University of Freiburg, where he studied from 2007 to 2012. He also earned a Master of Science (MS) in Physics from The Julius Maximilians University of Würzburg, completing his studies from 2001 to 2007. Additionally, he studied Biomedical/Medical Engineering at Stanford University, achieving the position of Senior Research Associate. His educational background provides a strong foundation for his expertise in deep learning techniques, 3D reconstruction algorithms, and medical imaging.
Previous Work Experience
Before joining IONpath, Benjamin Zahneisen worked as a Machine Learning Engineer at iSchemaView from 2018 to 2020. He also served as a Consultant at HobbitView from 2016 to 2017. His experience includes a role as a Postdoctoral Researcher at the University of Hawaii at Manoa from 2012 to 2014. These positions allowed him to develop skills in distortion field estimation and automatic stroke detection, further enhancing his capabilities in the medical imaging field.
Specialization in Medical Imaging
Benjamin Zahneisen specializes in signal and image processing within the medical imaging domain. His expertise encompasses deep learning techniques for distortion field estimation and automatic stroke detection. He has a strong background in 3D reconstruction algorithms and camera-based adaptive motion correction in MRI. This specialization positions him as a knowledgeable professional in advancing imaging technologies for medical applications.