Affinity Group for Machine Learning Applied to Radiological Imaging

Zinner Breakout Room, BWH
Wednesday, March 13th 2019, 10:00 AM  – 12:00 PM

About the Event

Goals:

• Bring together researchers from diverse departments and backgrounds.
• Ultimate goal: Submission of collaborative extramural grant applications.
• This session will focus on practical issues and steps for applying machine learning methods to research.

Quarterly meetings:

• First is a mini-conference/workshop.
• Invite speakers to present results or proposals.
• Next sessions are modeled after the BRI/MSK cross-collaborative workshops.

Schedule

AGENDA |

Formal talks: 10:00 – 11:15 AM

Introduction
Jamie Collins, PhD

Pragmatic tips for getting started with an image-based deep learning project at BWH
Tina Kapur, PhD

The Trials and Tribulations of Assembling Large Datasets for Machine Learning Applications:
Kirti Magudia, MD

Predicting cardiovascular disease and pre-disease states from breast imaging
Irfanullah Haider,MD

Executing a deep learning project from start to finish using images and data from an external public database
Jeff Duryea, PhD

Lunch and Open Discussion: 11:15 AM – 12:00 PM

• Additional questions
• Plans for the next 2 meetings.
• How to initiate collaborations

Directions

Direction to the Zinner Breakout Room (via 70 Francis Street): The Zinner Breakout Room is located in the Carl J. and Ruth Shapiro Cardiovascular Center at 70 Francis Street, Boston, MA. Upon entering the building at the street level, walk straight towards the escalators in the rear of the building. The Zinner Conference Center is located on your right; the Breakout room is through the large doors on the left.