9 citations · 10 across the 4 of their papers we have counts for
4 papers
λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy
Federico Carrara, Talley Lambert, Mehdi Seifi +1
In fluorescence microscopy, spectral unmixing aims to recover individual fluorophore concentrations from spectral images that capture mixed fluorophore emissions. Since classical m…
MamaDino: A Hybrid Vision Model for Breast Cancer 3-Year Risk Prediction
Ruggiero Santeramo, Igor Zubarev, Florian Jug
Breast cancer screening programmes increasingly seek to move from one-size-fits-all interval to risk-adapted and personalized strategies. Deep learning (DL) has enabled image-based…
Enabling Global Image Data Sharing in the Life Sciences
Peter Bajcsy, Sreenivas Bhattiprolu, Katy Boerner +20
Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we tak…
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…