🔥Telegram İfşa

Another day, another #RSNA2021 research highlight: A convolutional neural network was trained to predict mammographic density percentage from MRI only based on data from the DENSE Trial, showing potential to correctly triage patients

Was great to be able to present in person again at #RSNA2021

Our survey #ExplainableAI #XAI in #deeplearning-based medical image analysis is now in Medical Image Analysis doi.org/10.1016/j.medi…. We surveyed and categorized >200 papers, and described pros & cons so users can choose which technique fits their problem most. Enjoy the read!

Excited about my invited talks Friday at #ECR2022 myesr on #explainableAI #XAI. Hope to see you there!

.⁦Bas van der Velden⁩ explaining #AI techniques #breastMRI to a packed audience at #ECR2022 #Vienna

Amazing presentation on explainable #artificialintelligence today at #ecr2022!

Great overview talk on XAI of Bas van der Velden at myesr. We definitely should investigate more in different XAI methods.

Interesting and in-depth presentation on ‘Explainable AI’. Much research and potential in clinical imaging, yet ‘don’t use it blindly’, suggested speaker Bas van der Velden to engaged audience at #ecr2022. #radiologyai

A lot of attention for the explainable AI session at the AI theater at ECR 2022 Bas van der Velden

Great historical overview of breast MRI by Elizabeth Morris #ECR2022

Honored to be asked to speak at this symposium, looking forward to it!! @VVS_OR Statistics Communication

Up next: Symposium on Transparent Machine Learning October 5th, Utrecht With speakers: Hinda Haned, Tamilla Abdul-Aliyeva, Tim van Erven , Bas van der Velden and Marjolein Fokkema! For abstracts, practical information, and registration, see our website: vvsor.nl/statistics-com… See you there!

Back from Singapore after a fantastic MICCAI Society 2022, and the fifth edition of the iMIMIC workshop! So grateful for the amazing contributions and positive feedback from so many colleagues and community! imimic-workshop.com #interpretability #MICCAI #DeepLearning

Great plenary meeting of the EFRA Project in lovely Pisa. Together with the partners, our data science team of Wageningen Food Safety Research investigates eXplainable AI #XAI and Federated Learning for food safety. #AI #federatedlearning #research #foodsafety #extremedata

🍏Fresh EFRA blog post about our recent Plenary meeting in Pisa! 🎯Our goal is to create the first #AI-enabled, #data analytics platform dedicated to #foodsafety in Europe! What's our plan to achieve this? Check below👇 Horizon Europe 🇪🇺 European Research Executive Agency efraproject.eu/1st-efra-plena…

Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI Society 2023, Vancouver, Canada Don't miss the submission deadline July 1st! imimic-workshop.com Universität Bern Amith Kamath Mara Graziani Wilson Silva MICCAI Students #XAI

As of today, there is one week left to submit at the Final Leaderboard to earn: A presentation at the SPPIN challenge session of MICCAI and a certificate of participation. Two authorships per team on the SPPIN paper. A change of winning the 500 euro award for the best team.

Commentary: Explainable #AI - current status and future potential. (Bas van der Velden) #EuropeanRadiology Read the full commentary here ➡️ buff.ly/3PAv8Gw