1 citations · 1 across the 3 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2023★ 1 cited
Metadata Improves Segmentation Through Multitasking Elicitation
Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo +2
Metainformation is a common companion to biomedical images. However, this potentially powerful additional source of signal from image acquisition has had limited use in deep learni…
eess.IV2020
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon +4
Biomedical images are noisy. The imaging equipment itself has physical limitations, and the consequent experimental trade-offs between signal-to-noise ratio, acquisition speed, and…