7 citations · 7 across the 3 of their papers we have counts for
3 papers
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated inversion recovery (FLAIR) by topological interpretable machine learning
Matteo Rucco, Lorenzo Falsetti, Giovanna Viticchi
Glioblastoma multiforme (GBM) is a fast-growing and highly invasive brain tumour, it tends to occur in adults between the ages of 45 and 70 and it accounts for 52 percent of all pr…
Neural Hypernetwork Approach for Pulmonary Embolism diagnosis
Matteo Rucco, David M. S. Rodrigues, Emanuela Merelli +4
This work introduces an integrative approach based on Q-analysis with machine learning. The new approach, called Neural Hypernetwork, has been applied to a case study of pulmonary…
Using Topological Data Analysis for diagnosis pulmonary embolism
Matteo Rucco, Lorenzo Falsetti, Damir Herman +4
Pulmonary Embolism (PE) is a common and potentially lethal condition. Most patients die within the first few hours from the event. Despite diagnostic advances, delays and underdiag…