Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kevin Hoffer-Hawlik"'
Publikováno v:
Opt Express
Deep learning (DL) is a powerful tool in computational imaging for many applications. A common strategy is to use a preprocessor to reconstruct a preliminary image as the input to a neural network to achieve an optimized image. Usually, the preproces
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
A two-step deep learning approach is proposed for computational imaging. This approach is robust to image model mismatches since physics priors are not needed and mitigates over-parameterization by training the network in 2 steps.
Publikováno v:
Photons Plus Ultrasound: Imaging and Sensing 2020.
Autor:
Brent D. Bates, Brian W. Pogue, Hira Shahzad Sardar, Keith D. Paulsen, Kevin Hoffer-Hawlik, Niki N. Tselepidakis, Eric Henderson, Joachim Feldwisch, Jason R. Gunn, Kimberley S. Samkoe
Publikováno v:
J Surg Oncol
Background and objectives Fluorescence-guided surgery using epidermal growth factor receptor (EGFR) targeting has been performed successfully in clinical trials using a variety of fluorescent agents. We investigate ABY-029 (anti-EGFR Affibody® molec