VLDB 2026 Research / reviewers in the wild / expert
Russell Jennings
dblp:151/9540
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 56% Bioinformatics and computational biology · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
surgical robotics |
0.2 | 1 | 2014 | Robotic implant to apply tissue traction forces in the treatment of esophageal atresia · ICRA 2014 |
Bioinformatics and computational biology
tissue engineering |
0.2 | 1 | 2014 | Robotic implant to apply tissue traction forces in the treatment of esophageal atresia · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
prototype design · 0.2ex vivo evaluation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Robotic implant to apply tissue traction forces in the treatment of esophageal atresiaabstractThis paper introduces robotic implants as a novel class of medical robots in the context of treating esophageal atresia. The robotic implant is designed to apply traction forces to the two disconnected esophageal segments to induce sufficient growth so that the two ends can be joined together to form a functioning esophagus. In contrast to the current manual method of externally applying traction forces, the implant offers the potential to avoid prolonged patient sedation and to substantially reduce the number of X-rays required. A prototype design is presented along with evaluation experiments that demonstrate its capabilities to apply traction forces to ex vivo esophageal tissues. Dana D. Damian, Slava Arabagi, Assunta Fabozzo, Peter Ngo, Russell Jennings, Michael Manfredi, Pierre E. Dupont |
ICRA | 5 |