Demo Data from VLDB 2026 / reviewers in the wild / expert
Miha Fuderer
dblp:181/7612
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 |
Image and video coding · 67% Multimedia systems and quality of experience · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › image quality assessment
artifact perception |
0.2 | 1 | 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images · IEEE Trans. Image Process. 2016 |
Image and video coding
image quality assessment |
0.2 | 1 | 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images · IEEE Trans. Image Process. 2016 |
Multimedia systems and quality of experience
subjective quality assessment |
0.2 | 1 | 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images · IEEE Trans. Image Process. 2016 |
Medical and health informatics › medical imaging
magnetic resonance imaging |
0.1 | 1 | 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images · IEEE Trans. Image Process. 2016 |
Medical and health informatics
medical imaging |
0.1 | 1 | 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images · IEEE Trans. Image Process. 2016 |
Methods — techniques the papers use, named apart from their topics
subjective experiment · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | The Relative Impact of Ghosting and Noise on the Perceived Quality of MR ImagesabstractMagnetic resonance (MR) imaging is vulnerable to a variety of artifacts, which potentially degrade the perceived quality of MR images and, consequently, may cause inefficient and/or inaccurate diagnosis. In general, these artifacts can be classified as structured or unstructured depending on the correlation of the artifact with the original content. In addition, the artifact can be white or colored depending on the flatness of the frequency spectrum of the artifact. In current MR imaging applications, design choices allow one type of artifact to be traded off with another type of artifact. Hence, to support these design choices, the relative impact of structured versus unstructured or colored versus white artifacts on perceived image quality needs to be known. To this end, we conducted two subjective experiments. Clinical application specialists rated the quality of MR images, distorted with different types of artifacts at various levels of degradation. The results demonstrate that unstructured artifacts deteriorate quality less than structured artifacts, while colored artifacts preserve quality better than white artifacts. Hantao Liu, Jos Koonen, Miha Fuderer, Ingrid Heynderickx |
IEEE Trans. Image Process. | 3 |