2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
A Proper Scoring Rule for Virtual Staining
Samuel Tonks, Steve Hood, Ryan Musso +5
Generative virtual staining (VS) models for high-throughput screening (HTS) can provide an estimated posterior distribution of possible biological feature values for each input and…
cs.LG2024★ 2 cited
Can virtual staining for high-throughput screening generalize?
Samuel Tonks, Cuong Nguyen, Steve Hood +6
The large volume and variety of imaging data from high-throughput screening (HTS) in the pharmaceutical industry present an excellent resource for training virtual staining models.…
eess.IV2023
Image Denoising and the Generative Accumulation of Photons
Alexander Krull, Hector Basevi, Benjamin Salmon +5
We present a fresh perspective on shot noise corrupted images and noise removal. By viewing image formation as the sequential accumulation of photons on a detector grid, we show th…