AI Technologies and Applications in Media Environments @ ABU Technology Webinar

Prof. Emanuele Frontoni gave a talk for the Asia Pacific Broadcasting Union on "AI Technologies and Applications in Media Environments", in cooperation with Tecla System & Università Politecnica delle Marche.

ABU (Asia-Pacific Broadcasting Union), established in 1964, is the biggest broadcasting union in the world.

Following the link of the talk:

Clinical Needs Translational Award (CTA) @ CinC2020

Dr. Sara Moccia has been awarded with the "Clinical Needs Translational Award (CTA)" in the framework of Computing in Cardiology 2020 (CinC2020, for the work:

"A Novel Approach based on Spatio-temporal Features and Random Forest for Scar Detection using Cine Cardiac Magnetic Resonance Images"

The work has been carried out in collaboration with Politecnico di Milano, Azienda Ospedaliera-Universitaria di Parma and Centro Cardiologico Monzino IRCCS.

Congratulation, Sara!



ULTIMATE WATER EU Kick-off Meeting

VRAI group successfully partecipated at the @ULTIMATEWaterEU kick-off meeting! 2 days with interesting talks about the project: getting to know partners, #demosites & tasks in the different work packages. Looking forward to the work on #CircularEconomy & #WaterSmartIndustrialSymbiosis!

Integrating Sensor Fusion and Perception for Human-robot Interaction @ IEEE RO-MAN 2020

During IEEE RO-MAN 2020 (, which will be held online from Aug, 31st to Sep, 4th 2020, the VRAI PostDoc Sara Moccia will co-chair and be part of the organization commitee of the workshop Integrating Sensor Fusion and Perception for Human-robot Interaction.

The workshop organization commitee calls for abstracts to discuss existing challenges, new ideas and resources and disseminate the latest results. For more details visit the workshop website

Workshop attendance and participation will be free of charge. 

VRAI MSc-Thesis Dissertation

Our MSc students, Mariachiara Di Cosmo and Francesca Pia VIllani, succesfully presented their thesis work in the framework of the Master's degree programme in Biomedical Engineering at UNIVPM: 

1) (Di Cosmo) Deep Learning Based 2D-3D Registration System For Augmented Visualization In Image Guided Endovascular Surgery - VIDEO:

2) (Villani) Development of an Augmented Reality system based on marker tracking for robotic-assisted minimally invasive spine surgery - VIDEO:

The thesis work was developed in collaboration with Vicomtech (Spain), where the two students spent 6 months.

Congratulation to the new Biomedical Engineers of UNIVPM! 



VRAI @ PHD COURSE "3D tissue segmentation, modelling and deformation: From pre-operative to intra-operative image analysis" (POLIMI/UNIVR)

The PostDoc Sara Moccia gave a cycle of lectures during the PhD course "3D tissue segmentation, modelling and deformation: From pre-operative to intra-operative image analysis" at Politecnico di Milano (POLIMI) and Università degli Studi di Verona (UNIVR). The lectures addressed the topic of deep learning applied to the analysis of  pre- and intra-operative images, with a focus on tissue segmentation.   

More information are available at this link:

Learning representatons and geometry from unlabelled videos


Giovedì 25 Giugno dalle ore 10:30 alle 13:30 il Prof. Andrea Vedaldi terrà un seminario intitolato "Learning representatons and geometry from unlabelled videos", organizzato con il patrocinio dell'Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning (CVPL).

La registrazione è obbligatoria per ottenere il link dell’evento sulla piattaforma Zoom:

Connected Health and Covid-19: Now and beyond the great Lockdown

Il 12 giugno saremo tra gli invited di questa virtual conference per portare il nostro contributo alla ricerca nella lotta al #COVID19.

Il nostrio intervento è intitoloato: "Artificial Intelligence for early-stage prediction of complications and risk stratification of COVID 19 patients in Intensive Care Units (ICUs)"

Se siete inteeressati a partecipare, la registrazione è gratuita al seguente link e saremo in compagnia di tanti importanti gruppi di ricerca trai cui Stanford Vision & Learning Lab, Carnegie Mellon, Imperial College, IBM, etc.