1 code implementation • 7 Dec 2023 • Bhaskara Rao Chintada, Sebastián Ruiz-Lopera, René Restrepo, Brett E. Bouma, Martin Villiger, Néstor Uribe-Patarroyo
We present a deep learning framework for volumetric speckle reduction in optical coherence tomography (OCT) based on a conditional generative adversarial network (cGAN) that leverages the volumetric nature of OCT data.
no code implementations • 28 Sep 2022 • Deborah Pereg, Martin Villiger, Brett Bouma, Polina Golland
The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset.
1 code implementation • 11 May 2021 • Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma
Intravascular ultrasound and optical coherence tomography are widely available for characterizing coronary stenoses and provide critical vessel parameters to optimize percutaneous intervention.