ASNR and ASFNR continue to 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:

  1. Serve as a hands-on introductory workshop to AI and deep learning in neuroradiology
  2. Allow attendees to understand and critically evaluate literature in AI and neuroradiology
  3. Allow attendees to set up and conduct a basic research project using AI.


This education program will consist of prerequisite work, two workshops (Saturday, May 18th and Sunday, May 19th at ASNR24 in Las Vegas, NV and Friday August 23rd at ASFNR 2024 in Snowmass, Co), and a project to be conducted in between the two workshops. Hybrid access will be available for in-person and virtual attendance at both sessions.

Different datasets will be made available for the participants. Participants are free to use these datasets or to select other datasets that are publicly available or that they have access to.

​One award totaling $5,000 will be offered for one participant in the workshop that is deemed by the organization to have the highest potential for future research in the field of AI applied to neuroradiology. This award will be presented following the conclusion of the second part of the workshop.

ASNR will also offer 3 additional awards of travel support of $2000 each, which will be offered to trainee participants (medical student, resident, fellow or post-doc) who will attend both meetings in person and also have the best promise to present their research at ASFNR/ASNR annual meeting. In addition to attending both parts of the AI Workshop, travel award winners must register for and attend ASNR24 in person to receive this award.

The education program will accept 15 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.

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, as well as the completion of a questionnaire and some prerequisite work. The 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, as well as level of programming knowledge (a minimum level of programming knowledge will be required).
There will be a fee of $375 per attendee. This fee will cover participation at BOTH ASNR24 and ASFNR24 workshop sessions.

The application period for the ASNR/ASFNR 2024 AI Workshop is now closed.

Program Organizing Committee


  • Rajan Jain, MD, NYU
  • Max Wintermark, MD, MS, MBA, MD Anderson
  • Greg Zaharchuk, MD, PhD, Stanford
  • Peter Chang, MD, UC Irvine

Course Directors

  • Spyridon Bakas, PhD, Indiana University
  • Jeffrey Rudie, MD, PhD, Scripps Clinic and UCSD
  • Pallavi Tiwari, PhD, University of Wisconsin–Madison

Associate Directors

  • Shahriar Faghani, MD, Mayo Clinic
  • Fred Kwon, MD, PhD, Memorial Sloan Kettering and NYU


  • Ji Eun Park, MD, PhD, Asan Medical Center
  • Dominic LaBella, MD, Duke University 
  • Evan Calabrese, MD, PhD, Duke University
  • Ujjwal Baid, PhD, Indiana University
  • Paul Thompson, PhD, USC
  • Philipp Vollmuth, MD, MBA, Heidelberg University​
  • Yvonne Lui, MD, NYU
  • Nathan Cross, MD, MS, CIIP, University of Wisconsin–Madison
  • Ryan Lee, MD, MBA, Thomas Jefferson University

The first workshop will be held on Saturday, May 18th, and Sunday, May 19th, at ASNR24 in Las Vegas, NV. The second workshop is scheduled for Friday, August 23rd, at ASFNR 2024 in Snowmass, CO.

AI Workshop: Towards Clinical Translation (ASNR24 Program; Schedule Subject to Change)

Day 1 – May 18, 2024

  • Getting Started: Choosing Machine Learning Algorithms
  • Designing a Neuroradiology AI Project (including Role of Neuroradiologist)
  • Participant Introductions to Large Group
  • Historic Overview and Ethics of AI in Neuroradiology
  • Intuitive Understanding of Neural Networks
  • Getting Started: Hardware Considerations
  • Getting Started: Data Prep – Implications & Bureaucratic Considerations

Day 2 – May 19, 2024

  • Neuroradiology Data Preparation
  • DL Classroom: Neuroradiology Segmentation
  • DL Classroom: Neuroradiology Classification
  • DL Classroom: Generative AI & LLM’s in Neuroradiology
  • Neuroradiology Research Tools
  • Keynote: ENIGMA: Enhancing Neuro-Imaging Genetics through Meta-Analysis
  • Q & A Session
  • Collaborating with Companies as an Academic
  • Evaluating AI vendors
  • Panel Q & A Session on Industry
  • Conclusion and Wrap-Up