12 citations · 13 across the 2 of their papers we have counts for
2 papers
q-bio.OT2023★ 1 cited
MIFA: Metadata, Incentives, Formats, and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis
Teresa Zulueta-Coarasa, Florian Jug, Aastha Mathur +24
Artificial Intelligence methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new methods, but a…
cs.CV2023★ 12 cited
Generative modeling of living cells with SO(3)-equivariant implicit neural representations
David Wiesner, Julian Suk, Sven Dummer +4
Data-driven cell tracking and segmentation methods in biomedical imaging require diverse and information-rich training data. In cases where the number of training samples is limite…