PhD CANDIDATE
Erik Reimers is a PhD candidate under the supervision of Dr. Vesna Sossi at the UBC PET/MR imaging facility. With an engineering physics background, Erik has worked with imaging hardware and reconstruction during his masters degree. Currently, his PhD research is now focused on multimodal dataset analysis methods and works with datasets acquired at the UBC PET/MR imaging facility for the study of Parkinson’s Disease.
Education:
M.Sc. in Biomedical Engineering, McMaster University
B.Sc. in Engineering Physics, McMaster University
Affiliation:
School of Biomedical Engineering, University of British Columbia
Research interest/topics:
PET image reconstruction, deep learning guided image quality enhancements, multimodal dataset analysis
Recent Publications:
1. J. Hanania, E. Reimers, C. Bevington, V. Sossi, “PET-based Brain Molecular Connectivity in Neurodegenerative Disease”, Current Opinion in Neurology, 2024
2. J.C. Cheng, E. Reimers, V. Sossi, “HYPR4D Kernel Method With an Unsupervised 2.5SD+0.5TD Deep Learning Assisted Kernel Matrix”, IEEE Transactions on Radiation and Plasma Medical Sciences, 2024
3. E. Reimers, J.C. Cheng, V. Sossi, “Deep-learning-aided intraframe motion correction for low-count dynamic brain PET”, IEEE Transactions on Radiation and Plasma Medical Sciences, 2023