DateMonday October 7, 2019 from 12:00 PM to 1:30 PM
AddressHet Kranenveld 12
BuildingGaslab - Building 12
OrganizerEAISI & DSCE
About the event
Many TU/e researchers are advancing or using Artificial Intelligence in their research projects. To support cross disciplinary learning and to strengthen the TU/e AI network, EAISI organizes a series of (internal) lunch meetings where various researchers talk about their projects.
Johan Lukkien (Dean M&CS)
Chris Snijders, Human Technology Interaction (IE&IS)
Talking to a super model
Josien Pluim, Medical Image Analysis (BME)
AI in Medical Imaging
Pieter Van Gorp (DSCE)
TU/e involvement in BDVA networking and whitepapers
Predictive models are getting better and smarter, but often still have to relay their findings to humans. Given that models can be complex and might still make mistakes, a human's trust in the model's output is neither automatic nor straightforward. Our research focuses on ways in which we can better understand and improve the connection between model output and human receiver.
The presentation will focus on the general status of artificial intelligence in the field of medical imaging. Furthermore, it will cover research in this area by the Medical Image Analysis group of BME.
Pieter Van Gorp
TU/e has since many years a paid corporate membership in the Big Data Value Association (BDVA). The BDVA was launched in 2014 as a non-profit organisation with the aim to boost research, development and innovation and to foster a positive perception of Big Data Value. Members include the leading European Universities (and research institutes) but to a large extent also industrial players like Philips, IMEC, Siemens, Atos, IBM, Intel, Microsoft, etc. Within his presentation, our program manager of Health Data Science, Pieter Van Gorp, will provide an overview of the TU/e networking activities from the past years, especially with the aim to highlight also opportunities for others within TU/e (project officers and scientists). Pieter will also focus on the TU/e contributions to the BDVA whitepaper "AI in Healthcare", that will be published this autumn with the aim to influence the future European research calls.