Falk Wiegmann

PhD student, Department of Physics & Astronomy, University of British Columbia

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Ford Lab, UBC · Vancouver, BC

Hi! I’m a PhD student in the Ford Lab at the University of British Columbia, where I work on image reconstruction for preclinical cone-beam micro-CT. My research sits at the intersection of imaging physics and machine learning. I study the resolution and noise limits of cone-beam reconstruction, and I build learning-based methods (projection infilling and implicit neural representations) that aim to improve image quality.

Outside of research, I like to surf, work on my boat, ski and golf.

publications

2026

  1. Resolution–noise characteristics of common FDK filter kernels: A practical reference for preclinical cone-beam micro-CT
    Falk L. Wiegmann and Nancy L. Ford
    PLOS One, Aug 2026
  2. Reconstruction-independent resolution limits in preclinical cone-beam micro-CT: A closed-form analysis
    Falk L. Wiegmann and Nancy L. Ford
    arXiv preprint arXiv:2607.12998, Jul 2026
  3. Impact of Gaussian feathering on diagnostic metrics in tile-based micro-CT sinogram infilling
    Falk L. Wiegmann and Nancy L. Ford
    Scientific Reports, Jun 2026
  4. µPIU-Net: A domain-specific sinogram infilling U-Net for micro-CBCT and the limitations of generalized models
    Falk L. Wiegmann and Nancy L. Ford
    Research Square preprint, Jul 2026
  5. Visualising Parker weighting in short-scan cone-beam micro-CT: A practical reference
    Falk L. Wiegmann and Nancy L. Ford
    arXiv preprint arXiv:2604.23390, Apr 2026
  6. Benchmarking open-source FDK against commercial and iterative reconstruction methods for preclinical micro-CBCT
    Falk L. Wiegmann and Nancy L. Ford
    arXiv preprint arXiv:2604.23047, Apr 2026