Demo Data from EDBT 2026 / reviewers in the wild / expert
Maged Goubran
dblp:138/7659
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0001-5880-0818ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 50% Computational science and engineering · 50% | |
| Artificial intelligence
1 paper |
Transfer learning and domain adaptation · 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
digital pathology |
0.9 | 1 | 2025 | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology · ICCV 2025 |
Computational science and engineering
multi-task learning |
0.9 | 1 | 2025 | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology · ICCV 2025 |
Machine learning › Transfer learning and domain adaptation
fine-tuning |
0.3 | 1 | 2025 | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
multimodal learning · 1.7foundation model · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology
Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel |
ICCV | 5 |
| 2020 | Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach
Fumin Guo, Matthew Ng, Maged Goubran, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright |
Medical Image Anal. | 3 |