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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.

AI-DLDA 2020 International Summer School on Artificial Intelligence

AI-DLDA ​​2020 - FROM DEEP LEARNING TO DATA ANALYTICS is the third edition of the International Summer School of Artificial Intelligence which is normally held in Udine, Italy. Due to the global health emergency, this edition will be organized online from 29 June to 03 July.

It is addressed to young researchers, Ph.D. students and industry practitioners. Prof. Emanuele Frontoni is invited as speaker.

Please for more info and registration visit the following link: http://www.ip4fvg.it/summer-school/

French National Research Agency

 

VRAI team will review the research projects of Agence Nationale de la Recherche (ANR) in France.

The ANR is a public administrative institution under the authority of the French Ministry of Higher Education, Research and Innovation designed to support the excellence of French research at a variety of techno-logical readiness levels, support basic research, encourage academic and public-private scientific partnerships and promote European and international cooperation.

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VRAI @ PhD course "Embodiment of Artificial Intelligence" (UNICAL)

The PostDoc Sara Moccia gave two lectures during the course "Embodiment of Artificial Intelligence" at Università della Calabria (UNICAL). The lectures addressed the topic of deep learning applied to the analysis of intra-operative images, with a focus on detection tasks.   

The course was promoted by the Department of Mathematics and Computer Science (UNICAL) and the Department of Information, Electronics and Biomegineering (POLIMI). More information are available at this link: https://www.unical.it/portale/portaltemplates/view/view.cfm?99662

Deep Learning and more for Computer Vision Applications

Avviso di seminario all’interno del corso di Computer Vision & Deep Learning.

Mercoledì 20/05/2020 alle ore 11.30, Christian Micheloni, Matteo Dunnhofer and Rao Umer terranno un seminario online su Microsoft Teams intitolato 'Deep Learning and more for Computer Vision Applications'.

Per registrazioni all'evento seguire il link sottostante:

http://vrai.dii.univpm.it/content/20-05-2020-event-deep-learning-and-more-computer-vision-applications

 

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