activity
20202024
most citedEndoMapper dataset of complete calibrated endoscopy procedures

73 citations · 118 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Topological SLAM in colonoscopies leveraging deep features and topological priors

Javier Morlana, Juan D. Tardós, José M. M. Montiel

We introduce ColonSLAM, a system that combines classical multiple-map metric SLAM with deep features and topological priors to create topological maps of the whole colon. The SLAM…

cs.CV2023★ 25 cited

SimCol3D -- 3D Reconstruction during Colonoscopy Challenge

Anita Rau, Sophia Bano, Yueming Jin +19

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps…

cs.CV2023

ColonMapper: topological mapping and localization for colonoscopy

Javier Morlana, Juan D. Tardós, J. M. M. Montiel

We propose a topological mapping and localization system able to operate on real human colonoscopies, despite significant shape and illumination changes. The map is a graph where e…

eess.IV2022★ 73 cited

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…

cs.CV2022★ 1 cited

Reuse your features: unifying retrieval and feature-metric alignment

Javier Morlana, J. M. M. Montiel

We propose a compact pipeline to unify all the steps of Visual Localization: image retrieval, candidate re-ranking and initial pose estimation, and camera pose refinement. Our key…

eess.IV2022★ 15 cited

SuperPoint features in endoscopy

O. L. Barbed, F. Chadebecq, J. Morlana +2

There is often a significant gap between research results and applicability in routine medical practice. This work studies the performance of well-known local features on a medical…

cs.CV2020★ 4 cited

SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes

Juan J. Gómez Rodríguez, José Lamarca, Javier Morlana +2

Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene. In this work we present Semi-Direct DefSLAM (SD-DefSLAM…