80 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di MilanoIT6 papers
- University of MilanIT6 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Luigi Sacco HospitalIT2 papers
- Agostino Gemelli University PolyclinicIT1 paper
- AOL (United States)US1 paper
- Azienda Ospedaliera San Camillo-ForlaniniIT1 paper
- Azienda Ospedaliera Sant'AndreaIT1 paper
- Azienda Ospedaliero-Universitaria delle MarcheIT1 paper
- Bocconi UniversityIT1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- Center for Cancer ResearchUS1 paper
12 papers
PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini +4
Manual annotation of anatomical landmarks on 3D facial scans is a time-consuming and expertise-dependent task, yet it remains critical for clinical assessments, morphometric analys…
Emergent complexity and rhythms in evoked and spontaneous dynamics of human whole-brain models after tuning through analysis tools
Gianluca Gaglioti, Alessandra Cardinale, Cosimo Lupo +10
The simulation of whole-brain dynamics should reproduce realistic spontaneous and evoked neural activity across different scales, including emergent rhythms, spatio-temporal activa…
Impact of friction force and retrieval speed on in silico mechanical thrombectomies: a sensitivity analysis
Mahesh S. Nagargoje, Virginia Fregona, Giulia Luraghi +4
Background: Mechanical Thrombectomy (MT) is a widely accepted first-line treatment for Acute Ischemic Stroke (AIS) and it has been studied using in vitro and in silico models. Thro…
The role of friction forces in arterial mechanical thrombectomy: a review
Mahesh S. Nagargoje, Virginia Fregona, Giulia Luraghi +3
Multiple clinical trials have demonstrated the superiority of mechanical thrombectomy (MT) in treating acute ischemic stroke (AIS). Stent retriever (SR) and aspiration techniques a…
Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system
Andrea Tonini, Francesco Regazzoni, Matteo Salvador +7
Cardiocirculatory mathematical models serve as valuable tools for investigating physiological and pathological conditions of the circulatory system. To investigate the clinical con…
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
Lucia Migliorelli, Daniele Berardini, Kevin Cela +4
Background and objectives: Patients suffering from neurological diseases may develop dysarthria, a motor speech disorder affecting the execution of speech. Close and quantitative m…
A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system
Andrea Tonini, Christian Vergara, Francesco Regazzoni +4
Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascu…
Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos
Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni +3
Objective: To develop and validate a deep learning model for the identification of out-of-body images in endoscopic videos. Background: Surgical video analysis facilitates educatio…
Use of 'off-the-shelf' information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes
Emma Chiaramello, Francesco Pinciroli, Alberico Bonalumi +2
Information extraction from narrative clinical notes is useful for patient care, as well as for secondary use of medical data, for research or clinical purposes. Many studies focus…
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
Dong Yang, Ziyue Xu, Wenqi Li +17
The recent outbreak of COVID-19 has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. As a complimentary tool, chest CT has been shown to be able t…
Infection fatality ratio of SARS-CoV-2 in Italy
Piero Poletti, Marcello Tirani, Danilo Cereda +13
We analyzed 5,484 close contacts of COVID-19 cases from Italy, all of them tested for SARS-CoV-2 infection. We found an infection fatality ratio of 2.2% (95%CI 1.69-2.81%) and iden…
Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device
Michele Girfoglio, Francesco Ballarin, Giuseppe Infantino +6
Left ventricular assist devices (LVADs) are used to provide haemodynamic support to patients with critical cardiac failure. Severe complications can occur because of the modificati…