"AI in Chest Radiography: Growing pains and Interpretability" - João Pedrosa (INESC TEC & FEUP)

[Diogo Pernes]

Dear all,

We are pleased to announce that we will hold the seventh session of this year's Priberam Machine Learning Seminars next Tuesday, May 30. Our guest speaker will be João Pedrosa,  a Post-doctoral Researcher at INESC TEC and an Invited Assistant Professor at the University of Porto. He will discuss the development and application of deep learning systems in chest radiography, with a focus on interpretability.

The event will occur at 1 PM in Instituto Superior Técnico (room PA2), and we will provide lunch bags for attendees. To learn more about the event and register (which is mandatory if you plan to attend), please follow the link below:

https://www.eventbrite.pt/e/ai-in-chest-radiography-growing-pains-and-interpretability-tickets-640554885907

We hope to see you all there!

Kind regards,

Diogo Pernes

 

Priberam Labs
http://labs.priberam.com/

Priberam is hiring!

If you are interested in working with us please consult the available positions at priberam.com/careers.

PRIBERAM SEMINARS

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Priberam Machine Learning Lunch Seminar
Speaker: João Pedrosa (INESC TEC & FEUP)
Venue: Instituto Superior Técnico (room PA2)

Date: Tuesday, May 30, 2023
Time: 1 PM 

Title:

AI in Chest Radiography: Growing pains and Interpretability

Abstract:

Chest radiography is one of the most ubiquitous medical imaging modalities. Nevertheless, the interpretation of chest radiography images is time-consuming and complex meaning that the field is ripe for a takeover from artificial intelligence systems. The high image throughput has allowed for the creation of large annotated datasets which have in turn been used to train deep learning systems that can obtain near-human performance. But are these systems ready for the clinic? In this presentation, the main challenges in the development and application of deep learning systems in chest radiography will be presented with a focus on interpretability and a case study on the COVID-19 pandemic.

Short Bio:

João Pedrosa was born in Figueira da Foz, Portugal, in 1990. He received the M.Sc. degree in biomedical engineering from the University of Porto, Porto, Portugal, in 2013 and the Ph.D. degree in biomedical sciences with KU Leuven, Leuven, Belgium, in 2018 where he focused on the development of a framework for segmentation of the left ventricle in 3D echocardiography. He joined INESC TEC (Porto, Portugal) in 2018 as a postdoctoral researcher and is an invited assistant professor at the Faculty of Engineering of the University of Porto since 2020. His research interests include medical imaging acquisition and processing, machine/deep learning and applied research for improved patient care.

More info: http://labs.priberam.com/Academia-Partnerships/Seminars.aspx

Eventbrite:

https://www.eventbrite.pt/e/ai-in-chest-radiography-growing-pains-and-interpretability-tickets-640554885907