15 citations · 19 across the 5 of their papers we have counts for
5 papers
HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching
Anirban Ray, Ashesh Ashesh, Florian Jug
Fluorescence microscopy is a major driver of scientific progress in the life sciences. Although high-end confocal microscopes are capable of filtering out-of-focus light, cheaper a…
MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data
Ashesh Ashesh, Joran Deschamps, Florian Jug
Microscopy is routinely used to image biological structures of interest. Due to imaging constraints, acquired images, also called as micrographs, are typically low-SNR and contain…
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
Ashesh Ashesh, Florian Jug
In this work, we present denoiSplit, a method to tackle a new analysis task, i.e. the challenge of joint semantic image splitting and unsupervised denoising. This dual approach has…
μSplit: efficient image decomposition for microscopy data
Ashesh, Alexander Krull, Moises Di Sante +2
We present μSplit, a dedicated approach for trained image decomposition in the context of fluorescence microscopy images. We find that best results using regular deep architectures…
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination
Ashesh, Buo-Fu Chen, Treng-Shi Huang +3
Precipitation nowcasting is an important task for weather forecasting. Many recent works aim to predict the high rainfall events more accurately with the help of deep learning tech…