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Session 2: Tools for Conventional Approaches to De-Identification

11:00 am -

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11:

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50 pm EDT

In this session, speakers will share methods currently in use for medical de-identification.

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12:10 pm - 12:20 pm    Haridimos Kondylakis, Institute PhD, Institute of Computer Science, Foundation of Research & Technology (FORTH)

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12:20 pm - 12:30 pm    Christian Ludwigs, MSc, Aigora GmbH

 Legal Framework and Best Practices for Medical Image De-Identification in the EU

12:30 pm - 12:40 pm    Discussion

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10:40 am - 11:00 am    Panel Discussion 

Session 6: De-facing

11:00 am - 12:00 pm EDT

This session will focus on balancing the risks of removing potentially reconstructable facial information in head and neck cross-sectional images, also called de-facing, with the diminished utility of these images caused by restricted access to them. 

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11:20 am - 11:30 am    Douglas Greve, PhD, MGH/Harvard

MIDEFACE: Minimally Invasive Defacing

11:30 am - 11:50 am    Panel Discussion

Break 11:50 am - 12:00 pm

Session 7: The Role of AI in Image

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De-Identification

12:00 pm - 12:50 pm

In this session, researchers discuss the utility of AI algorithms in image de-identification.

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12:10 pm - 12:20 pm    George Shih, MD, Weill Cornell Medical College

 Pixel De-Identification Using AI

12:20 pm - 12:30 pm    Adrienne Kline, MD, PhD, Northwestern University

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Session chair: Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute & National Cancer Institute, National Institutes of Health

12:50 pm - 1:00 pm  Keyvan Farahani, PhD

1:00 pm - 1:10 pm     Fred Prior, PhD, University of Arkansas for Medical Sciences

    Synthetic  Synthetic Data for De-Identification Testing The
     The MIDI Datasets 

1:10 pm - 1:20 pm   Ben Kopchick, PhD, Deloitte Consulting

                               Building a cloud-based MIDI pipeline

1:20 pm - 1:50 pm   Panel Discussion

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