9 citations · 10 across the 5 of their papers we have counts for
5 papers
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations
Anis Bourou, Saranga Kingkor Mahanta, Thomas Boyer +2
In recent years, deep learning models have been extensively applied to biological data across various modalities. Discriminative deep learning models have excelled at classifying i…
Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion Models
Anis Bourou, Biel Castaño Segade, Thomas Boyer +2
Identifying subtle phenotypic variations in cellular images is critical for advancing biological research and accelerating drug discovery. These variations are often masked by the…
GANs Conditioning Methods: A Survey
Anis Bourou, Valérie Mezger, Auguste Genovesio
In recent years, Generative Adversarial Networks (GANs) have seen significant advancements, leading to their widespread adoption across various fields. The original GAN architectur…
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images
Anis Bourou, Thomas Boyer, Kévin Daupin +4
For the past few years, deep generative models have increasingly been used in biological research for a variety of tasks. Recently, they have proven to be valuable for uncovering s…
Unpaired Image-to-Image Translation with Limited Data to Reveal Subtle Phenotypes
Anis Bourou, Auguste Genovesio
Unpaired image-to-image translation methods aim at learning a mapping of images from a source domain to a target domain. Recently, these methods proved to be very useful in biologi…