Erik B. Dam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
2
Active years
2022–2024
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | KDD | CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. | Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. . Jensen, Raghavendra Selvan |
| 2023 | MICCAI | Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge. | Sumit Pandey, Toshali, Mathias Perslev, Erik B. Dam |
| 2023 | MICCAI | Operating Critical Machine Learning Models in Resource Constrained Regimes. | Raghavendra Selvan, Julian Schn, Erik B. Dam |
| 2022 | MICCAI | Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. | Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam |