Demo Data from VLDB 2026 / reviewers in the wild / expert
Brian Minnillo
dblp:20/9969
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
computer-assisted surgery |
0.1 | 1 | 2011 | Visualization of anatomical information in near-infrared imaging for robotic urological surgery · ICRA 2011 |
Medical and health informatics › medical imaging › medical image analysis
multi-modal image registration |
0.1 | 1 | 2011 | Visualization of anatomical information in near-infrared imaging for robotic urological surgery · ICRA 2011 |
Image and video processing
image registration |
0.0 | 1 | 2011 | Visualization of anatomical information in near-infrared imaging for robotic urological surgery · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
stereo vision · 0.2near-infrared imaging · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Visualization of anatomical information in near-infrared imaging for robotic urological surgeryabstractCommercial telerobotic surgery systems for soft tissue surgery are generally limited to visual imaging, though it is possible to simultaneously view picture-in-picture visualization of another workstation. However, it is not easy to correlate such information with the primary endoscopic view since it may not relate to the surface visible in the visual endoscopic images. As critical surfaces as well as surgical targets often lie subsurface, a range of techniques (e.g. ultrasound and near-infrared imaging) and registration methods have been investigated as robotic surgery gains popularity. While investigation of nerves, blood vessels, and tumors has received prior attention, we present a new prototype system for real-time multimodal image registration that focuses on the visualization of the urinary tract. By providing an accurate registration between stereo video images and a near infrared imager, we aim to enhance surgical awareness and make critical uretary tasks such as mobilization of the ureters easier. Engineering validation experiments with a prototype imager, and in-vivo experiments using a prototype Hamamatsu Photodynamic Eye (PDE) imager together with the da Vinci surgical system demonstrating feasibility are presented. These initial experiments have also shown encouraging response from the clinicians. Thiusius Rajeeth Savarimuthu, Brian Minnillo, Russell H. Taylor, Hiep Nguyen, Rajesh Kumar 0001 |
ICRA | 2 |