Demo Data from EDBT 2026 / reviewers in the wild / expert
Ludwig M. Auer
dblp:96/2449
· DBLP profile ↗
6ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 5 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 4 · 1 first-authorArtificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous 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.
| Computer graphics and multimedia
1 paper |
Rendering · 44% Geometric modeling and processing · 44% Virtual and augmented reality · 13% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
texture mapping |
0.0 | 1 | 2001 | Interactive Texturing by Polyhedron Decomposition · VR 2001 |
Medical and health informatics
surgical navigation |
0.0 | 1 | 2000 | Neurobot: A Special-Purpose Robot for Neurosurgery · ICRA 2000 |
Medical and health informatics
surgical robotics |
0.0 | 1 | 2000 | Neurobot: A Special-Purpose Robot for Neurosurgery · ICRA 2000 |
Virtual and augmented reality
surgical simulation |
0.0 | 1 | 2001 | Interactive Texturing by Polyhedron Decomposition · VR 2001 |
Medical and health informatics › medical imaging › medical image analysis
MRI segmentation |
0.0 | 1 | 2000 | Neurobot: A Special-Purpose Robot for Neurosurgery · ICRA 2000 |
Methods — techniques the papers use, named apart from their topics
anti-aliasing filter · 0.0ultrasound tracking · 0.0force control · 0.0brain-shift compensation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Interactive Texturing by Polyhedron DecompositionabstractFor visualization in virtual reality, two topics are of major importance: real-time rendering and realism. To meet these requirements, modern graphics hardware has to be applied wherever possible. A commonly used method to improve realism without decreasing the rendering speed is texturing. Today, fast texture mapping algorithms are even integrated in low-cost hardware. However, high-resolving and non-distorting texturing is very difficult and sometimes even impossible for non-convex complex polyhedra. Nevertheless, the realism of many virtual reality applications could be improved by using non-distorted textures. Especially in surgical simulation, each anatomical detail has to be placed correctly on very complex models of human organs. For this, a new method has been developed, allowing the interactive placement of high-resolution bitmaps to any desired position on the model's surface. In addition, the visualization quality can be improved by using an antialiasing filter. This method, called arbitrary texture placement, utilizes polyhedron decomposition to split one object of complex shape into N triangles. Treating each triangle of the surface as independent object it is possible to assign them an unique part of the texture space where color information can be stored. If a bitmap is applied to the polyhedron's surface, the involved triangles are determined and the pieces of the bitmap inside the triangle are stored at the corresponding areas in the texture space. An example shows the appliance of the method to an anatomical model of the ventricular system in the human brain, used for simulating minimally invasive neurosurgery. Volker Leeb, Ludwig M. Auer, Arne Radetzky |
VR | 2 |
| 2000 | Neurobot: A Special-Purpose Robot for NeurosurgeryabstractA special-purpose robot system has been developed for neurosurgery. It contains control mechanisms developed from flight-simulator experience to allow precise motion and force-control using very low-force input. The robot constrains the tool motion to a safe region using methods developed for robotic surgery. These regions are defined pre-operatively using MRI segmentation techniques developed with the help of a simulator, ROBO-SIM. The intraoperative target location is tracked in real-time using ultrasound transducers. By applying updates using the ultrasound probe, safety is maintained by compensating for brain-shift. The overall system is being evaluated on phantoms. Brian L. Davies, Stephen Starkie, Simon J. Harris, E. Agterhuis, Volker Paul, Ludwig M. Auer |
ICRA | 6 |
| 2000 | Simulating Minimally Invasive Neurosurgical Interventions Using an Active Manipulator
Arne Radetzky, Michael Rudolph 0003, Werner Stefanon, Stephen Starkie, Brian L. Davies, Ludwig M. Auer |
MICCAI | 6 |
| 2000 | Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images
Alexis Roche, Xavier Pennec, Michael Rudolph 0003, Dorothee Auer, Grégoire Malandain, Sébastien Ourselin, Ludwig M. Auer, Nicholas Ayache |
MICCAI | 7 |
| 1999 | Visualization for Planning and Simulation of Minimally Invasive Neurosurgical Procedures
Ludwig M. Auer, Arne Radetzky, C. Wimmer, Gerhard Kleinszig, F. Schroecker, Dorothee Auer, Hervé Delingette, Brian L. Davies, Dietrich Peter Pretschner |
MICCAI | 1 |
| 1999 | Performance of Robotic Augmentation in Microsurgery-Scale Motions
Rajesh Kumar 0001, Tushar M. Goradia, Aaron C. Barnes, Patrick S. Jensen, Louis L. Whitcomb, Dan Stoianovici, Ludwig M. Auer, Russell H. Taylor |
MICCAI | 7 |