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Fernando B. Avila-Rencoret

dblp:164/8405 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0001-7180-352XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
colonoscopy
0.212015
Towards a robotic-assisted cartography of the colon: A proof of concept · ICRA 2015
Medical and health informatics › medical imaging
endoscopic imaging
0.212015
Towards a robotic-assisted cartography of the colon: A proof of concept · ICRA 2015
Robotics › Robot manipulation
medical robotics
0.112015
Towards a robotic-assisted cartography of the colon: A proof of concept · ICRA 2015

Methods — techniques the papers use, named apart from their topics

radial sensor array · 0.4optical sensing · 0.4
YearPublicationVenuePosition
2015 Towards a robotic-assisted cartography of the colon: A proof of concept
abstract
Colonoscopy is the gold standard screening test for colorectal cancer. However, it can miss up to 22% of lesions. One way to reduce this misrate is by guiding the endoscopist's attention towards suspicious areas (red-flagging). In this paper, we present the proof-of-concept of a novel endoscopic imaging device for the scanning of tubular organs such as the colon and the esophagus. The envisaged concept works as an accessory for any conventional flexible endoscope using it as a rail. It can generate a red-flagged map of the whole organ by orbiting and sliding a radial array of optical sensors around and along the endoscope. This concept paves the way for a semi-automated concurrent red-flagging technique for colonoscopy that enhances the endoscopist's situational awareness and reduces misrate.
Fernando B. Avila-Rencoret, Daniel S. Elson, George P. Mylonas
ICRA1