top of page

ASNR ASFNR

AI Workshop

AI workshop.jpg

Background

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.

Details
 

This education program will consist of prerequisite work, two workshops (Saturday April 29 and Sunday April 30 at ASNR23 in Chicago and Friday October 6 at ASFNR 2023 in Boston), 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, 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.

A total award of $5,000 will be distributed to participants whose projects in the workshop are deemed to have the highest potential for future research in the field of AI applied to neuroradiology. These awards will be presented at the conclusion of the second part of the workshop.

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.

Selection
 

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 pre-requisite 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).

The application deadline is March 21, 2023, at 11:59 PM EDT.

 

Applicants will be informed of selection for the workshop by March 31, 2023.

There will be a fee of $350 per attendee. This fee will cover participation at BOTH ASNR23 and ASFNR 2023 workshop sessions.

Program
 

Organizing Committee

●      Daniel Barboriak, Duke

●      Peter Chang, UC Irvine

●      Risto Filippi, Tufts

●      Adam Flanders, Jefferson

●      Christopher Hess, UCSF

●      Yvonne Lui, NYU

●      Max Wintermark, MD Anderson

●      Greg Zaharchuk, Stanford

●      Rajan Jain, NYU


 

Speakers/Mentors

We welcome experienced AI researchers to join our team of speakers who also serve as mentors for the accepted participants. Please apply below if you are interested in helping out with the AI workshop.

Sample Program (Schedule Subject to Change)
 

ASNR23

 

Block-1

Introduction

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

 

Sample Program (Schedule Subject to Change)
 

ASFNR 2023

 

 

Block-1

Introduction

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

Anchor 1
bottom of page