3 citations · 6 across the 7 of their papers we have counts for
10 papers
Tracking Intermittent Particles with Self-Learned Visual Features
Raphael Reme, Victor Piriou, Alison Hanson +5
In time-lapse fluorescence imaging, single-particle-tracking is a powerful tool to monitor the dynamics of objects of interest, and extract information about biological processes.…
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…
JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
Carlos Garcia Lopez de Haro, Stephane Dallongeville, Thomas Musset +6
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their…