65 citations · 104 across the 5 of their papers we have counts for
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eess.IV2020★ 65 cited
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci, Michael Liebling
Optical microscopy is an essential tool in biology and medicine. Imaging thin, yet non-flat objects in a single shot (without relying on more sophisticated sectioning setups) remai…
eess.IV2020★ 1 cited
Free annotated data for deep learning in microscopy? A hitchhiker's guide
Adrian Shajkofci, Michael Liebling
In microscopy, the time burden and cost of acquiring and annotating large datasets that many deep learning models take as a prerequisite, often appears to make these methods imprac…
eess.IV2020★ 9 cited
DeepFocus: a Few-Shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function
Adrian Shajkofci, Michael Liebling
Autofocus (AF) methods are extensively used in biomicroscopy, for example to acquire timelapses, where the imaged objects tend to drift out of focus. AD algorithms determine an opt…