Demo Data from SIGIR 2026 / reviewers in the wild / expert
Olivier Chavanon
dblp:91/5045
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2000
0000-0001-8625-691XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
computer assisted surgery |
0.0 | 1 | 2000 | PADyC: A Synergistic Robot for Cardiac Puncturing · ICRA 2000 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2000 | PADyC: A Synergistic Robot for Cardiac Puncturing · ICRA 2000 |
Human-AI interaction
human-AI collaboration |
0.0 | 1 | 2000 | PADyC: A Synergistic Robot for Cardiac Puncturing · ICRA 2000 |
Methods — techniques the papers use, named apart from their topics
guiding system · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | PADyC: A Synergistic Robot for Cardiac PuncturingabstractComputer assisted surgery (CAS) attempts primarily to optimize the performance of medical tasks. This consists in planning optimal strategies and accurately transferring and executing these plans in intra-operative conditions. One clinical purpose is to minimize the intervention invasiveness by increasing the selectivity of anatomical target localization and reducing the aggressiveness of the target access through minimal incisions or natural openings. This generally results for the surgeon in a lack of perception (vision, tactile feeling) and dexterity. It may also raise accessibility problems and may require a higher positional and force accuracy. Therefore, an interface device of some sort is needed in order to connect the "information world" of images, plans, and computers, to the physical world of surgeons, patients, and tools. Such a device is called a "guiding system". We discuss the PADyC system whose purpose is to limit the possible actions of the surgeon to what is strictly authorized in the planning. PADyC relies on man-machine cooperation. We present its principles and we discuss its application to cardiac punctures. Olivier Schneider, Jocelyne Troccaz, Olivier Chavanon, Dominique Blin |
ICRA | 3 |
| 1999 | Classification Space for Augmented Surgery, an Augmented Reality Case Study
Emmanuel Dubois 0001, Laurence Nigay, Jocelyne Troccaz, Olivier Chavanon, Lionel Carrat |
INTERACT | 4 |
| 1998 | Isolating Moving Anatomy in Ultrasound Without Anatomical Knowledge: Application to Computer-Assisted Pericardial Punctures
Andrew Bzostek, G. Ionescu, Lionel Carrat, Catherine Barbe, Olivier Chavanon, Jocelyne Troccaz |
MICCAI | 5 |