55 citations · 91 across the 6 of their papers we have counts for
6 papers
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline
Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi +7
The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography Angiography (CCTA). However, man…
Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models
Tommaso Mario Buonocore, Claudio Crema, Alberto Redolfi +2
In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset that could be exploited with…
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Enea Parimbelli, Giovanna Nicora, Szymon Wilk +2
Increasingly complex learning methods such as boosting, bagging and deep learning have made ML models more accurate, but harder to understand and interpret. A tradeoff between perf…
The Gene Mover's Distance: Single-cell similarity via Optimal Transport
Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi +2
This paper introduces the Gene Mover's Distance, a measure of similarity between a pair of cells based on their gene expression profiles obtained via single-cell RNA sequencing. Th…
Temporal Reasoning with Probabilities
Carlo Berzuini, Riccardo Bellazzi, Silvana Quaglini
In this paper we explore representations of temporal knowledge based upon the formalism of Causal Probabilistic Networks (CPNs). Two different ?continuous-time? representations are…
Bayesian Networks Aplied to Therapy Monitoring
Carlo Berzuini, David J. Spiegelhalter, Riccardo Bellazzi
We propose a general Bayesian network model for application in a wide class of problems of therapy monitoring. We discuss the use of stochastic simulation as a computational approa…