no code implementations • 13 Mar 2023 • Shuxian Wang, Yubo Zhang, Sarah K. McGill, Julian G. Rosenman, Jan-Michael Frahm, Soumyadip Sengupta, Stephen M. Pizer
Reconstructing a 3D surface from colonoscopy video is challenging due to illumination and reflectivity variation in the video frame that can cause defective shape predictions.
no code implementations • 19 Nov 2021 • Yubo Zhang, Jan-Michael Frahm, Samuel Ehrenstein, Sarah K. McGill, Julian G. Rosenman, Shuxian Wang, Stephen M. Pizer
Aiming to fundamentally improve the depth estimation quality for colonoscopy 3D reconstruction, in this work we have designed a set of training losses to deal with the special challenges of colonoscopy data.
no code implementations • 18 Mar 2021 • Yubo Zhang, Shuxian Wang, Ruibin Ma, Sarah K. McGill, Julian G. Rosenman, Stephen M. Pizer
In this work we focus on the lighting problem in colonoscopy videos.
no code implementations • Medical Image Computing and Computer Assisted Intervention 2019 • Ruibin Ma, Rui Wang, Stephen Pizer, Julian Rosenman, Sarah K. McGill, and Jan-Michael Frahm
To the best of our knowledge, we are the first to reconstruct dense colon surface from video in real time and to display missing surface.