ASNR/ASFNR AI workshop
Status Update, March 27, 2020:
Because of the circumstances surrounding the spread of COVID-19, the first ASNR/ASFNR AI Workshop on May 30-31 will now be conducted as an online, virtual workshop on the Zoom platform. The participant fee has been reduced to $250. Applicants will be informed of their acceptance into the workshop by March 30.
ASNR and ASFNR partner to offer an AI education program to train neuroradiologists and make them effective leaders and collaborators in AI projects focusing on neuroimaging.
The goals of this education program are to:
- Serve as a hands-on introductory workshop to AI and deep learning in neuroradiology
- Allow attendees to understand and critically evaluate literature in AI and neuroradiology
- Allow attendees to set up and conduct a basic research project using AI.
This education program will consist of prerequisite work, two workshops (May 30-31 during ASNR 2020 Annual Meeting and Oct. 8 at the ASFNR 2020 meeting), and a project to be conducted in between the two workshops. Different datasets will be made available for the participants, including the 2019 ASFNR AI challenge dataset and the 2019 RSNA challenge dataset. Participants are free to use these datasets or to select other datasets that are publicly available or that they have access to.
The education program will accept 25 applicants a year, who will graduate at the end of the ASFNR workshop and be invited to join the ASNR/ASFNR AI study group for continued collaboration and networking. Applications for the 2020 workshop are no longer being accepted.
In addition to clinical neuroradiologists and trainees, data scientists and PhD faculty engaged in neuroimaging research are encouraged to apply.
Applicants will be selected based on a competitive application process that will involve submission of a biosketch, letter of motivation, and potential research project topic. Selection process will ensure that a diverse class is created each year, in terms of training levels (fellows, junior faculty, more advanced faculty), institution and geographical representation.
- Daniel Barboriak, Duke
- Peter Chang, UC Irvine
- Risto Filippi, Northwell
- Adam Flanders, Jefferson
- Christopher Hess, UCSF
- Yvonne Lui, NYU
- Max Wintermark, Stanford
- Greg Zaharchuk, Stanford
We welcome experienced AI researchers to join our team of speakers who also serve as mentors for the accepted participants. Please apply online if you are interested in helping out with the AI workshop.
|Saturday and Sunday, May 30-31, 2020 (virtual workshop held online)|
|30 min||Historic Overview of AI and Machine Learning|
|30 min||The Role of Neuroradiologists in AI Research|
|30 min||Survey of Current Applications and Tools|
|Block-2||30 min||Designing a Neuroradiology AI Project|
|30 min||Data Curation and Annotation|
|30 min||Choosing Machine Learning Algorithms|
|Block-3||30 min||Getting Started: Hardware Considerations|
|30 min||Getting Started: Software Considerations|
|30 min||Getting Started: Personnel / Who to Hire|
|Block-4||30 min||Introduction to Python|
|30 min||Introduction to Machine Learning Libraries|
|30 min||Introduction to Artificial Neural Networks|
|Block-5||30 min||Overview of Convolutional Neural Networks|
|30 min||Optimization and Hyperparameters|
|30 min||Common CNN Architectures for Medical Imaging|
|Block-6||30 min||Towards a Scalable AI Research Infrastructure|
|30 min||Advanced Data Annotation Strategies|
|30 min||Ethics of Medical AI|
|Conclusion and Wrap Up|
|ASFNR 2019, Thursday, October 8, 2020, Santa Fe, NM (in-person workshop)|
|30 min||Progress Report||all participants|
|30 min||Participant Presentations I||all participants|
|30 min||Participant Presentations II||all participants|
|Block-2||30 min||Collaborative Research|
|30 min||Customized CNN Architectures for Medical Imaging|
|30 min||Opportunities in Natural Language Processing|
|Block-3||30 min||Manuscripts/Grants: Putting Together A Paper|
|30 min||Manuscripts/Grants: Understanding Validation and CNN Statistics|
|30 min||Manuscripts/Grants: Clinical Trials/Funding Opportunities|
|Block-4||30 min||FDA and Regulatory Considerations|
|30 min||Fairness in AI|
|30 min||Clinical Deployment|
|30 min||Wrap-up||all participants|