Demo Data from SIGIR 2026 / reviewers in the wild / expert
Francesco Ceci
dblp:383/4675
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › healthcare robotics
robot-assisted surgery |
0.8 | 1 | 2024 | Toward a framework integrating augmented reality and virtual fixtures for safer robot-assisted lymphadenectomy · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
virtual fixtures · 1.5force feedback · 1.5augmented reality · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Toward a framework integrating augmented reality and virtual fixtures for safer robot-assisted lymphadenectomyabstractLymphadenectomy generally accompanies various oncology surgeries to remove infected cancer cells. However, there are two limitations in robot-assisted lymphadenectomy: 1) lymph nodes are not visible during operation since they are hidden by the superficial fat layer; 2) intra-operative bleeding may occur during lymph node removal caused by collisions between surgical instruments and delicate blood vessels (arteries or veins) near the lymph nodes. Therefore, we propose a framework integrating augmented reality and virtual fixtures to address these limitations. Augmented reality intra-operatively visualizes the hidden lymph nodes by projecting the corresponding 3D pre-operative model, and virtual fixtures are used to provide force feedback to surgeons to avoid possible collisions when they operate the surgical instruments to resect the lymph nodes surrounding the blood vessel. Ten human subjects were invited to perform an emulated lymphadenectomy based on the da Vinci robot in a dry lab. Experimental results demonstrated that the proposed framework can keep localizing the hidden lymph nodes, and reduce the number of collisions (21% and 48% reduction rates using two different force models compared to the standard setup, respectively) between the instruments and the delicate blood vessel during lymph node resection. It shows the potential to enhance the safety of robot-assisted lymphadenectomy. Laura Cruciani, Matteo Fontana, Lorenzo Muraglia, Francesco Ceci, Laura Travaini, Giancarlo Ferrigno, Elena De Momi |
ICRA | 6 |