5 papers
Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
Giulia Bertaglia, Raffaella Fiamma Cabini
Mathematical models and numerical simulations offer a non-invasive way to explore cardiovascular phenomena, providing access to quantities that cannot be measured directly. In this…
Cell Behavior Video Classification Challenge, a benchmark for computer vision methods in time-lapse microscopy
Raffaella Fiamma Cabini, Deborah Barkauskas, Guangyu Chen +19
The classification of microscopy videos capturing complex cellular behaviors is crucial for understanding and quantifying the dynamics of biological processes over time. However, i…
Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation
Raffaella Fiamma Cabini, Horacio Tettamanti, Mattia Zanella
In this article we extend a recently introduced kinetic model for consensus-based segmentation of images. In particular, we will interpret the set of pixels of a 2D image as an int…
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks
Mariaclaudia Nicolai, Raffaella Fiamma Cabini, Diego Ulisse Pizzagalli
Trajectories can be regarded as time-series of coordinates, typically arising from motile objects. Methods for trajectory classification are particularly important to detect differ…
A kinetic approach to consensus-based segmentation of biomedical images
Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari +2
In this work, we apply a kinetic version of a bounded confidence consensus model to biomedical segmentation problems. In the presented approach, time-dependent information on the m…