Demo Data from EDBT 2026 / reviewers in the wild / expert
Seijung Kim
dblp:318/7687
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-4832-6889ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 · 67% Learning and educational technologies · 33% |
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 interaction |
0.9 | 1 | 2025 | Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in Neurosurgery · IEEE Trans. Vis. Comput. Graph. 2025 |
Learning and educational technologies
medical training |
0.9 | 1 | 2025 | Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in Neurosurgery · IEEE Trans. Vis. Comput. Graph. 2025 |
Immersive interaction › augmented reality
surgical guidance |
0.9 | 1 | 2025 | Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in Neurosurgery · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
tool tracking · 0.9eye tracking · 0.9augmented reality · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | VitalWave: An End-to-End Open-Source High-Frequency Wearable Device and Data Collection Platform
Lauren Lederer, Ali R. Roghanizad, Ritvik Janamsetty, Luke Redmore, Seijung Kim, Krish Bansal, Amy Liu, Benjamin Asomani, Lauren Baur, Cindy Wang, Amy Duan, Aayush Goyal, Jamee Krzanich, Naomi Patel, Arthur Zhao, Jessilyn Dunn |
BSN | 5 |
| 2025 | Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in NeurosurgeryabstractExternal ventricular drain (EVD) is a common, yet challenging neurosurgical procedure of placing a catheter into the brain ventricular system that requires prolonged training for surgeons to improve the catheter placement accuracy. In this article, we introduce NeuroLens, an Augmented Reality (AR) system that provides neurosurgeons with guidance that aids them in completing an EVD catheter placement. NeuroLens builds on prior work in AR-assisted EVD to present a registered hologram of a patient's ventricles to the surgeons, and uniquely incorporates guidance on the EVD catheter's trajectory, angle of insertion, and distance to the target. The guidance is enabled by tracking the EVD catheter. We evaluate NeuroLens via a study with 33 medical students and 9 neurosurgeons, in which we analyzed participants' EVD catheter insertion accuracy and completion time, eye gaze patterns, and qualitative responses. Our study, in which NeuroLens was used to aid students and surgeons in inserting an EVD catheter into a realistic phantom model of a human head, demonstrated the potential of NeuroLens as a tool that will aid and educate novice neurosurgeons. On average, the use of NeuroLens improved the EVD placement accuracy of the year 1 students by 39.4%, of the year 2$-$-4 students by 45.7%, and of the neurosurgeons by 16.7%. Furthermore, students who focused more on NeuroLens-provided contextual guidance achieved better results, and novice surgeons improved more than the expert surgeons with NeuroLens's assistance. Sangjun Eom, Seijung Kim, Joshua Jackson, David Sykes, Shervin Rahimpour, Maria Gorlatova |
IEEE Trans. Vis. Comput. Graph. | 2 |