41 citations · 71 across the 8 of their papers we have counts for
8 papers
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Optimal-transport-based metric for SMLM
Quentin Denoyelle, Thanh-an Pham, Pol del Aguila Pla +2
We propose the use of Flat Metric to assess the performance of reconstruction methods for single-molecule localization microscopy (SMLM) in scenarios where the ground-truth is avai…
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
Ruofan Zhou, Majed El Helou, Daniel Sage +3
In fluorescence microscopy live-cell imaging, there is a critical trade-off between the signal-to-noise ratio and spatial resolution on one side, and the integrity of the biologica…
Pocket Guide to Solve Inverse Problems with GlobalBioIm
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann +5
GlobalBioIm is an open-source MATLAB library for solving inverse problems. The library capitalizes on the strong commonalities between forward models to standardize the resolution…
Investigating the inner structure of focal adhesions with single-molecule localization microscopy
Hendrik Deschout, Ilia Platzman, Daniel Sage +3
Cells rely on focal adhesions (FAs) to carry out a variety of important tasks, including motion, environmental sensing, and adhesion to the extracellular matrix. Although attaining…
On The Continuous Steering of the Scale of Tight Wavelet Frames
Zsuzsanna Püspöki, John Paul Ward, Daniel Sage +1
In analogy with steerable wavelets, we present a general construction of adaptable tight wavelet frames, with an emphasis on scaling operations. In particular, the derived wavelets…
Fast O(1) bilateral filtering using trigonometric range kernels
Kunal Narayan Chaudhury, Daniel Sage, Michael Unser
It is well-known that spatial averaging can be realized (in space or frequency domain) using algorithms whose complexity does not depend on the size or shape of the filter. These f…