activity
20182026
collaborators

6 papers

cs.LG2026

Protect the Brain When Treating the Heart: Feasibility of 2.5D U-Net for Real-Time Gaseous Microemboli Detection

Andrea Angino, Ken Trotti, Diego Ulisse Pizzagalli +3

Gaseous microemboli (GME) represent a common complication of cardiac structural interventions across both surgical and transcatheter approaches. Intraoperative transesophageal echo…

eess.IV2026

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…

cs.CV2024

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…

cs.DS2022

AnyDijkstra, an algorithm to compute shortest paths on images with anytime properties

Diego Ulisse Pizzagalli, Rolf Krause

Images conveniently capture the result of physical processes, representing rich source of information for data driven medicine, engineering, and science. The modeling of an image a…

cs.RO2022

ClipBot: an educational, physically impaired robot that learns to walk via genetic algorithm optimization

Diego Ulisse Pizzagalli, Ilaria Arini, Mauro Prevostini

Educational robots allow experimenting with a variety of principles from mechanics, electronics, and informatics. Here we propose ClipBot, a low-cost, do-it-yourself, robot whose s…

q-bio.QM2018

A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets

Diego Ulisse Pizzagalli, Santiago Fernandez Gonzalez, Rolf Krause

Clustering is a technique for the analysis of datasets obtained by empirical studies in several disciplines with a major application for biomedical research. Essentially, clusterin…