73 citations · 118 across the 6 of their papers we have counts for
6 papers
C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
Ethan Luk, Mayank V. Golhar, Anthony Song +5
3D reconstruction could improve colonoscopy by estimating mucosal coverage and alerting clinicians to missed regions during screening. However, algorithm development is limited as…
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy
Raúl Iranzo, Víctor M. Batlle, Juan D. Tardós +1
Geometric reconstruction and SLAM with endoscopic images have advanced significantly in recent years. In most medical fields, monocular endoscopes are employed, and the algorithms…
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
Javier Rodríguez-Puigvert, Víctor M. Batlle, J. M. M. Montiel +4
Single-view depth estimation can be remarkably effective if there is enough ground-truth depth data for supervised training. However, there are scenarios, especially in medicine in…
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
Víctor M. Batlle, José M. M. Montiel, Pascal Fua +1
We propose a new approach to 3D reconstruction from sequences of images acquired by monocular endoscopes. It is based on two key insights. First, endoluminal cavities are watertigh…
Photometric single-view dense 3D reconstruction in endoscopy
Victor M. Batlle, J. M. M. Montiel, Juan D. Tardos
Visual SLAM inside the human body will open the way to computer-assisted navigation in endoscopy. However, due to space limitations, medical endoscopes only provide monocular image…
EndoMapper dataset of complete calibrated endoscopy procedures
Pablo Azagra, Carlos Sostres, Ángel Ferrandez +15
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and…