Demo Data from SIGIR 2026 / reviewers in the wild / expert
Konstantinos Filippatos
dblp:19/8172
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
augmented reality |
0.2 | 1 | 2015 | Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery · ISMAR 2015 |
Immersive interaction › augmented reality
medical augmented reality |
0.2 | 1 | 2015 | Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery · ISMAR 2015 |
Medical and health informatics › medical imaging
optical coherence tomography |
0.1 | 1 | 2015 | Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery · ISMAR 2015 |
Methods — techniques the papers use, named apart from their topics
instrument shadow analysis · 0.4image fusion · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic MicrosurgeryabstractAugmented Reality (AR) in microscopic surgery has been subject of several studies in the past two decades. Nevertheless, AR has not found its way into everyday microsurgical workflows. The introduction of new surgical microscopes equipped with Optical Coherence Tomography (OCT) enables the surgeons to perform multimodal (optical and OCT) imaging in the operating room. Taking full advantage of such elaborate source of information requires sophisticated intraoperative image fusion, information extraction, guidance and visualization methods. Medical AR is a unique approach to facilitate utilization of multimodal medical imaging devices. Here we propose a novel medical AR solution to the long-known problem of determining the distance between the surgical instrument tip and the underlying tissue in ophthalmic surgery to further pave the way of AR into the surgical theater. Our method brings augmented reality to OCT for the first time by augmenting the surgeon's view of the OCT images with an estimated instrument cross-section shape and distance to the retinal surface using only information from the shadow of the instrument in intraoperative OCT images. We demonstrate the applicability of our method in retinal surgery using a phantom eye and evaluate the accuracy of the augmented information using a micromanipulator. Hessam Roodaki, Konstantinos Filippatos, Abouzar Eslami, Nassir Navab |
ISMAR | 2 |