Coming back from #ASFNR22 more motivated than ever! Thank you @theASFNR for hosting this stellar meeting and giving us the opportunity to display our work. Also, thank you @MariamAboian for paving the way for these exciting projects! #yaleradiology
@theASFNR already off to a good start, with very interesting in person presentations! Additionally, our work on building PACS based datasets and analysis of ML literature in neuro-oncology, is ready to be discovered in the Whova App as well! #ASFNR22#YaleRadiology#ImagineQuant
@theASFNR already off to a good start, with very interesting in person presentations! Additionally, our work on building PACS based datasets and analysis of ML literature in neuro-oncology, is ready to be discovered in the Whova App as well! #ASFNR22#YaleRadiology#ImagineQuant
It is critical to understand the basics of #AI algorithms and the structure, but the workflow of coding and the details of coding are not critical. What is important is to learn how to talk to data scientists and appreciate each other's talents and expertise! #RadAIchat#RadAI
This wouldn’t have been possible without the team!
Thank you to @MariamAboian for your exceptional mentorship and making my first publication possible!
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities https://t.co/MJFiC74iLh #mdpicancers via @Cancers_MDPI@YaleRadiology
Our latest publication on challenges and opportunities for clinical translation of ML tools for image-based glioma grading is available online: https://t.co/NRYOUmFV5u #mdpicancers via @Cancers_MDPI
Immensely grateful to @MariamAboian@Ryan_Bahar & team for their support!
So grateful to have been accepted to present multiple projects at @theASFNR! And so proud that many of my colleagues and friends will be joining: @Jan_Lost_, @LeonJekel, @NTillmanns! All thanks to our great mentor @MariamAboian! Maui, here we come! ☺️☀️🏝😎
Happy and relieved after my first ever oral presentation at #ASNR22! Thank you to the #BTRG_qMIT for cheering and especially the best mentor any student could wish for @MariamAboian for the tireless encouragement and support!!
Packed house at @Jan_Lost_ presentation at @TheASNR #ASNR22 on role of #ML in prediction of MGMT methylation in gliomas! Critical insights on why we dont have these algorithms in clinical practice and how to do the clinical integration. @YaleRadiology