output
20142026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024 · eess.IVShow all

2 papers · 2 filters

eess.IV2024

Adversarial Deep-Unfolding Network for MA-XRF Super-Resolution on Old Master Paintings Using Minimal Training Data

Herman Verinaz-Jadan, Su Yan, Catherine Higgitt +1

High-quality element distribution maps enable precise analysis of the material composition and condition of Old Master paintings. These maps are typically produced from data acquir…

eess.IV2024★ 4 cited

Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence

Su Yan, Clotilde Vié, Marcelo Lerendegui +8

Super-resolution ultrasound imaging through microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy, allows non-invasive sub-diffraction resolu…