Webinars
Webinars 2023
W63 EFRS – EuSoMII ‘Framing in the Fourth Research Paradigm An Educational Perspective’ by R. Decoster
Daily use of AI in radiology why and how by OSIMIS and EuSoMII
W61 ‘Closing the loop between artificial intelligence and structured reporting’ by Lukas Müller and Moritz Halfmann – Sponsored by InferVision
W60 Validation of automated image analysis tools in the absence of a ground truth by Marco Düring
W 59 AI IN PRACTICE MASTERCLASS SERIE ‘IT Deployment of AI in practice’ by Peter van Ooijen
W58 AI IN PRACTICE: MASTERCLASS SERIE ‘How to build a business case to support AI implementation’ by AMRITA KUMAR
Webinars 2022
W57 AI IN PRACTICE: MASTERCLASS SERIES ‘How to monitor AI in the clinical practice’ by R. Wiest
W56 EuSoMII/Osimis joint webinar ‘AI in the radiology workflow : where do we stand?’
W55 AI IN PRACTICE: MASTERCLASS SERIES Identification and selection of the right AI application by E.Ranschaert
W54 AI IN PRACTICE: MASTERCLASS SERIES ‘Is the implementation of AI software in medical imaging still lagging? An analysis in emerging radiology’ by MEREL HUISMAN
The NCI Imaging Data Commons Towards FAIR imaging data via standardization and openness for AI by Andrey Fedorov
Structured reporting: the meeting point of artificial and human intelligence in radiology by Paweł Paczuski
The pathway of introduction, usage, and quality assurance of AI applications in a multicenter radiology network by Hugues Brat UEG by Incepto
Trustworthy AI in medical image analysis by Kostas Marias
Artificial intelligence applications for the diagnosis and treatment of musculoskeletal disease: research trends and hurdles in clinical translation by M. Klontzas
Springer/EuSoMII: ‘Publishing 101 Imaging Informatics for Healthcare Professionals’
Webinars 2021
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines) by P. Omoumi and J.Richiardi
ESNR EuSoMII Joint webinar ‘AI tools in clinical Neuroradiology’ by Sven Haller
UEG by BRACCO – AIforCOVID A multicentre study by G.Valbusa and P.Soda
Why we need transdisciplinary collaboration to (really) solve clinical problems with machine learning by Lena Maier-Hein
Weakly supervised object detection: application to Neuroimaging by Florian Dubost
Explainable AI and distributed learning by Gennady Roshchupkin
Ethical Considerations for AI by Amy Kotsenas
AI in Radiology Practice the US Perspective by Tessa Cook
Why is radiology AI like writing a book? by Andrea Rockall
Webinars 2020
Machine Learning in whole body Multiparamatric Hybrid Imaging by Sergios Gatidis
Radiomics – How to by Bettina Baessler
WEBINAR 34 Blockchain for Science by Soenke Bartling
Webinar 33 Accelerated MRI with AI by Jonas Teuwen
Implementing ethics into radiology AI by Raym Geis
Preparing medical imaging data for machine learning by Martin Willemink
WEBINAR 30 Data sharing and analytics platforms for medical imaging in the age of big data by Karim Lekadir
Quantitative Imaging: Turning Pictures into Numbers by Sebastian Weingärtner
The Radiology AI sector in the EU by Hugh Harvey
Integration of AI in radiological workflow by Erik Ranschaert
Webinars 2019
Machine Learning in cardiovascular imaging by Tim Leiner
SoMe for radiologists: digital reputation in the age of AI by María Jesús Díaz Candamio
Communication of Critical and Incidental Findings in Radiology By Maartje M L de Win
How do dose tracking tools change the practice of radiologists’ By Federica Zanca
Protection of Patient Data in EU vs US by Erik Ranschaert MD, PhD
MR quantification of hepatic fat and iron: how does it works in practice? by Manuela França
Value based Imaging by Jacob J. Visser
Building AI Superpowers For Radiologists by George Shih
‘Radiomics: Concepts, Methods and Clinical Applications in Oncology’ by Nickolas Papanikolaou.
Webinars 2018
‘Optimising workflow to improve radiology reporting: a practical approach in a clinical cancer network’ by Allard Olthof
RADIOMICS: PRINCIPLES AND CHALLENGES BY LAURE FOURNIER
EuSoMII webinar: 'Radiomics: principles and challenges' by Laure Fournier. 23th May 2018 at 6pm CET. Topic. Radiomics is a new 'data-driven' approach for extracting large sets of complex descriptors from routine (or not) clinical images....
Transforming images into meaningful data through AI and imaging biomarkers
