News

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:

https://www.youtube.com/watch?v=tiHBZSQDB8Y&feature=youtu.be

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, https://www.cinc2020.org/) 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 (http://ro-man2020.unina.it/), 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 https://sites.google.com/view/romanhri/

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: https://youtu.be/qi7iYE0IIPQ

2) (Villani) Development of an Augmented Reality system based on marker tracking for robotic-assisted minimally invasive spine surgery - VIDEO: https://youtu.be/5382T47JXas

The thesis work was developed in collaboration with Vicomtech (Spain) https://www.vicomtech.org/en, 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: http://www.eventideib.polimi.it/events/3d-tissue-segmentation-modelling-and-deformation/

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:

https://cvpl-cvmlseminar-vedaldi.eventbrite.it

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.

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