1 code implementation • 20 Jul 2023 • Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov
We show that depth prediction in virtual colonoscopy is robustly solvable, while pose estimation remains an open research question.
no code implementations • 7 Jun 2023 • Netanel Frank, Erez Posner, Emmanuelle Muhlethaler, Adi Zholkover, Moshe Bouhnik
Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself.
no code implementations • 19 Oct 2022 • Emmanuelle Muhlethaler, Erez Posner, Moshe Bouhnik
Colonoscopy is the most common procedure for early detection and removal of polyps, a critical component of colorectal cancer prevention.
no code implementations • 22 Sep 2022 • Aniruddha Tamhane, Tse'ela Mida, Erez Posner, Moshe Bouhnik
In our work, we have collected a dataset of 120 colonoscopy videos and 2416 snapshots taken during the procedure, that have been annotated by experts.
no code implementations • 4 Jun 2022 • Erez Posner, Adi Zholkover, Netanel Frank, Moshe Bouhnik
3D colon reconstruction from Optical Colonoscopy (OC) to detect non-examined surfaces remains an unsolved problem.
no code implementations • 13 Jul 2019 • Erez Posner, Rami Hagege
We present a novel method for motion segmentation called LAAV (Locally Affine Atom Voting).