54 citations · 80 across the 5 of their papers we have counts for
5 papers
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
Huaqian Wu, Nicolas Souedet, Camille Mabillon +3
Stain color variation in histological images, caused by a variety of factors, is a challenge not only for the visual diagnosis of pathologists but also for cell segmentation algori…
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing
Huaqian Wu, Nicolas Souedet, Caroline Jan +2
Recent studies have demonstrated the superiority of deep learning in medical image analysis, especially in cell instance segmentation, a fundamental step for many biological studie…
Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
Sébastien Piluso, Nicolas Souedet, Caroline Jan +2
A significant challenge for brain histological data analysis is to precisely identify anatomical regions in order to perform accurate local quantifications and evaluate therapeutic…
Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section
Huaqian Wu, Nicolas Souedet, Zhenzhen You +3
Cell individualization has a vital role in digital pathology image analysis. Deep Learning is considered as an efficient tool for instance segmentation tasks, including cell indivi…
ADAM30 Downregulates APP-Linked Defects Through Cathepsin D Activation in Alzheimer's Disease
Florent Letronne, Geoffroy Laumet, Anne-Marie Ayral +38
Although several ADAMs (A disintegrin-like and metalloproteases) have been shown to contribute to the amy-loid precursor protein (APP) metabolism, the full spectrum of metalloprote…