Demo Data from EDBT 2026 / reviewers in the wild / expert
Matjaz Jakopec
dblp:74/3088
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 5 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 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.
| Artificial intelligence
2 papers |
Robot manipulation · 63% Motion planning and robot control · 25% Robot navigation and mapping · 12% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › medical robotics
surgical robotics |
0.1 | 1 | 2006 | Active-Constraint Robotics for Surgery · Proc. IEEE 2006 |
Medical and health informatics
computer-assisted surgery |
0.1 | 1 | 2006 | Active-Constraint Robotics for Surgery · Proc. IEEE 2006 |
Robotics › Robot manipulation
medical robotics |
0.0 | 1 | 2003 | The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgery · IEEE Trans. Robotics Autom. 2003 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2003 | The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgery · IEEE Trans. Robotics Autom. 2003 |
Robotics › Robot navigation and mapping
surgical navigation |
0.0 | 1 | 2006 | Active-Constraint Robotics for Surgery · Proc. IEEE 2006 |
Methods — techniques the papers use, named apart from their topics
robotic-assisted surgery · 0.1randomized controlled trial · 0.1preoperative planning · 0.0anatomical registration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Active-Constraint Robotics for SurgeryabstractThe concepts and benefits of hands-on robotic surgery and active-constraint robotics are introduced. The argument is made for systems to be cost effective and simple in order that they can be justified for a large range of surgical procedures. The case is made for robotic systems to have a clear justification, with benefits compared to those from cheaper navigation systems. The need to have robust systems, that require little surgical training and no technical presence in the operating room, is also discussed. An active constraint medical robot, the Acrobot System, is described together with its use in a prospective randomized controlled trial of unicondylar knee arthroplasty (UKA), comparing the performance of the Acrobot System with conventional surgery. Twenty-eight patients awaiting UKA were randomly allocated to have the operation performed conventionally or with the assistance of the Acrobot. The results of the trial are presented together with a discussion of the need for measures of accuracy to be introduced so that the efficacy of the robotic surgery can be immediately identified, rather than having to wait for a number of years before long-term clinical improvements can be demonstrated. Brian L. Davies, Matjaz Jakopec, Simon J. Harris, Ferdinando Rodriguez y Baena, Adrian R. W. Barrett, A. Evangelidis, Johan Henckel, Justin Cobb |
Proc. IEEE | 2 |
| 2003 | The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgeryabstractA "hands-on" robotic system for total knee replacement (TKR) surgery is presented. A computer tomography-based preoperative planning software is used to accurately plan the procedure. Intraoperatively, the surgeon guides a small special-purpose robot, called Acrobot, which is mounted on a gross positioning device. The Acrobot uses active constraint control, which constrains the motion to a predefined region, and thus allows the surgeon to safely cut the knee bones to fit a TKR prosthesis with high precision. A noninvasive anatomical registration method is described. The system has been successfully used in seven clinical trials with encouraging results. Matjaz Jakopec, Ferdinando Rodriguez y Baena, Simon J. Harris, Paula Gomes, Justin Cobb, Brian L. Davies |
IEEE Trans. Robotics Autom. | 1 |
| 2002 | Preliminary Results of an Early Clinical Experience with the AcrobotTM System for Total Knee Replacement Surgery
Matjaz Jakopec, Simon J. Harris, Ferdinando Rodriguez y Baena, Paula Gomes, Justin Cobb, Brian L. Davies |
MICCAI (1) | 1 |
| 1999 | Intra-operative Application of a Robotic Knee Surgery System
Simon J. Harris, Matjaz Jakopec, Justin Cobb, Brian L. Davies |
MICCAI | 2 |
| 1998 | Interactive Pre-Operative Selection of Cutting Constraints, and Interactive Force Controlled Knee Surgery by a Surgical Robot
Simon J. Harris, Matjaz Jakopec, Roger D. Hibberd, Justin Cobb, Brian L. Davies |
MICCAI | 2 |