Demo Data from VLDB 2026 / reviewers in the wild / expert
Marco C. DeRuiter
dblp:190/2260
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Visualization and visual analytics · 87% Image and video processing · 13% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
medical visualization |
0.3 | 1 | 2017 | PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery · IEEE Trans. Vis. Comput. Graph. 2017 |
Visualization and visual analytics › medical visualization
surgical planning |
0.3 | 1 | 2017 | PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery · IEEE Trans. Vis. Comput. Graph. 2017 |
Image and video processing
occlusion handling |
0.1 | 1 | 2017 | PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery · IEEE Trans. Vis. Comput. Graph. 2017 |
Methods — techniques the papers use, named apart from their topics
linked views · 0.6image registration · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | PelVis: Atlas-based Surgical Planning for Oncological Pelvic SurgeryabstractDue to the intricate relationship between the pelvic organs and vital structures, such as vessels and nerves, pelvic anatomy is often considered to be complex to comprehend. In oncological pelvic surgery, a trade-off has to be made between complete tumor resection and preserving function by preventing damage to the nerves. Damage to the autonomic nerves causes undesirable post-operative side-effects such as fecal and urinal incontinence, as well as sexual dysfunction in up to 80 percent of the cases. Since these autonomic nerves are not visible in pre-operative MRI scans or during surgery, avoiding nerve damage during such a surgical procedure becomes challenging. In this work, we present visualization methods to represent context, target, and risk structures for surgical planning. We employ distance-based and occlusion management techniques in an atlas-based surgical planning tool for oncological pelvic surgery. Patient-specific pre-operative MRI scans are registered to an atlas model that includes nerve information. Through several interactive linked views, the spatial relationships and distances between the organs, tumor and risk zones are visualized to improve understanding, while avoiding occlusion. In this way, the surgeon can examine surgically relevant structures and plan the procedure before going into the operating theater, thus raising awareness of the autonomic nerve zone regions and potentially reducing post-operative complications. Furthermore, we present the results of a domain expert evaluation with surgical oncologists that demonstrates the advantages of our approach. Noeska N. Smit, Kai Lawonn, Annelot Kraima, Marco C. DeRuiter, Hessam Sokooti, Stefan Bruckner, Elmar Eisemann, Anna Vilanova |
IEEE Trans. Vis. Comput. Graph. | 4 |