74 citations · 133 across the 10 of their papers we have counts for
4 papers · 1 filter
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
Carlos Garcia-Lopez-de-Haro, Caterina Fuster-Barcelo, Curtis T. Rueden +9
Mask annotation remains a significant bottleneck in AI-driven biomedical image analysis due to its labor-intensive nature. To address this challenge, we introduce SAMJ, a user-frie…
SINETRA: a Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals
Raphael Reme, Alasdair Newson, Elsa Angelini +2
Accurately tracking neuronal activity in behaving animals presents significant challenges due to complex motions and background noise. The lack of annotated datasets limits the eva…
Deep ContourFlow: Advancing Active Contours with Deep Learning
Antoine Habis, Vannary Meas-Yedid, Elsa Angelini +1
This paper introduces a novel approach that combines unsupervised active contour models with deep learning for robust and adaptive image segmentation. Indeed, traditional active co…
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images
Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid +2
This paper proposes a dynamic interactive and weakly supervised segmentation method with minimal user interactions to address two major challenges in the segmentation of whole slid…