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Page History
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Session 1: Report of the MIDI Task Group - Best Practices and Recommendations
10:10 am - 11:00 am EDT
Session Chair: David Clunie, MBBS, PixelMed
In this session, David Clunie, chair of the MIDI Task Group, will summarize the best practices and recommendations included in the task group's report, recently available in pre-print, followed by a question and answer period.
Session Chair: David Clunie, MBBS, PixelMed
10:10 am - 10:50 am David Clunie, MBBS, PixelMed
Summary of the MIDI Task Group Report
10:50 am - 11:00 am Discussion
Session 2: Tools for Conventional Approaches to De-Identification
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11:00 am - 11:10 am Fred Prior, PhD, University of Arkansas for Medical Sciences
Setting the Stage
11:10 am - 11:20 am Michael Rutherford, MS, University of Arkansas for Medical Sciences
The Tools of TCIA: Standardizing Zero-Tolerance De-identification
11:20 am - 11:30 am Stephen Moore, MS, Washington University School of Medicine in St. Louis
XNAT Platform: Image De-identification
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12:10 pm - 12:20 pm Haridimos Kondylakis, Institute of Computer Science, Foundation of Research & Technology (FORTH)
Data Infrastructures for AI in Medical Imaging: A report on the experiences of five EU projects
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11:10 am - 11:20 am Christopher Schwarz, PhD, Mayo Clinic
Face Recognition and De-Identification of Research Brain Images with mri_reface
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12:20 pm - 12:30 pm Adrienne Kline, MD, PhD, Northwestern University
PyLogik PyLogik: An open-source resource for medical image de-identification
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1:00 pm - 1:10 pm Fred Prior, PhD, University of Arkansas for Medical Sciences
Synthetic Data for De-Identification Testing The MIDI Datasets
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