EARLY-CAREER RESEARCHERS IN MEDICAL APPLICATIONS @ CERN – SHORT TALKS

Wednesday 9 Nov 2022, 16:30 → 17:30 Europe/Zurich

30/7-018 - Kjell Johnsen Auditorium (CERN)

 

 

Discover how technological advances for high-energy physics have become essential tools for modern medicine. 

 

This series of short talks is given by Early-Career Researchers working on projects related to diverse medical applications that arise from technology developed at CERN and in high-energy physics.

 

In this seminar 2 Researchers will share their work on 2 digital technologies for medical applications: Ioannis Stathopoulos will talk about the Cafein project and  Roberto Cittadini about Marchese.  Alessandro Raimondo will give the introduction with an overview of the work being carried out at CERN in this field. 

 

You can also watch the seminar on zoom (see details by clicking on video conference in the indico menu)

 

For information about the next Knowledge Transfer Seminar, please sign up to our e-group at http://cern.ch/go/F9cX

16:30 → 16:35 Overview of Digital Technologies for Medical Applications at CERN

Speaker: Alessandro Raimondo (CERN)

ECRMA2022.pdf

ECRMA2022.pptx

Recording

Video preview

16:35 → 16:50 CAFEIN project: A deep learning approach for diagnosis' support

A novel AI-based tool to assist clinicians, patients and caregivers in the analysis, diagnosis and prognosis of brain abnormalities based on the integration of clinical and imaging data. CAFEIN follows the 'life-cycle' of a radiology department and implements machine and deep learning tools using raw magnetic resonance images, X-ray images and patient data in order to improve clinical workflow's efficiency and performance. The tool focuses on strokes, brain tumors, multiply sclerosis and small vascular diseases while targets on detection, segmentation and classification tasks.
Medical applications developed over the CAFEIN:
a. Brain MRI anomaly screening
b. Multi-pathology detection and classification

Speaker: Ioannis Stathopoulos (National and Kapodistrian University of Athens (GR))

KT_ER_nov_2022_IS.pdf

KT_ER_nov_2022_IS.pptx

Recording

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16:55 → 17:10 MARCHESE project – Remote Monitoring of Health Parameters

Intelligent robotic systems are becoming essential for space applications, medical applications, industries, nuclear plants, and for harsh environments in general, such as the CERN particles accelerator complex and experiments. Nowadays, mechatronic systems use mature technologies that allow their robust and safe use, even in collaboration with human workers. Specific for complex and hazardous environment, vital signals monitoring is expected to support people in their daily activities in the near future, following continuous strides in developing health technologies. As the industry 4.0 revolution grows, robotic systems are increasingly deployed to support health monitoring, like for example in search and rescue scenarios for disaster areas. This presentation introduces contactless human health monitoring methods explored using photoplethysmography methods and machine learning techniques. Experiments conducted on several people demonstrate that cardiac activity can be monitored from camera views to obtain non-invasive and reliable vital parameter measurements. This system could address several medical applications in the future to meet the required health and safety needs, also besides the CERN context.

Speaker: Roberto Cittadini (Universita Campus Bio-Medico (IT))

15.ECRMA_RobertoCittadini2022.pdf

15.ECRMA_RobertoCittadini2022.pptx

Recording

Video preview