Demo Data from EDBT 2026 / reviewers in the wild / expert
Vishwesh Ramanathan
dblp:371/4616
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 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.
| 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 | 1 |
| 2024 | Detecting Noisy Labels with Repeated Cross-Validations
Jianan Chen 0001, Vishwesh Ramanathan, Tony Xu, Anne L. Martel |
MICCAI (10) | 2 |
| 2024 | Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology
Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel |
MICCAI (5) | 1 |