Page History
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Date | Slides | Recording |
---|---|---|
5/22/2023 | ||
5/23/2023 | Slide Deck | Day 2 Recording |
Slide Presentations
Information about the workshop program chairs, agenda, The workshop agenda and speaker bios are at https://events.cancer.gov/nci/midi-workshopon the workshop website.
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Speaker | Presentation Title | Slides | ||
---|---|---|---|---|
Day 1 | ||||
Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute, National Institutes of Health | Welcome & Introduction | |||
Session 1: Report of the MIDI Task Group - Best Practices and Recommendations | ||||
David Clunie, MBBS, PixelMed | Report of the MIDI Task Group | |||
Session 2: Tools for Conventional Approaches to De-Identification Chairperson, Fred Prior, PhD | ||||
Fred Prior, PhD | Setting the Stage | |||
Michael Rutherford, MS, University of Arkansas for Medical Sciences | The Tools of TCIA: Standardizing Zero-Tolerance De-identification | |||
Stephen Moore, MS, Washington University School of Medicine in St. Louis | XNAT Platform: Image De-identification | |||
Session 3: International Approaches to De-Identification Chairperson: | Willam William Parker, University of British Columbia | International Approaches to Image De-Identification | ||
William Parker, MD | Medical Data De-ID - A Canadian Perspective | Parker Slides | ||
Haridimos Kondylakis, PhD, 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 | |||
Christian Ludwigs, MSc, Aigora GmbH | Legal framework and best practices for medical image de-identification in the EU | Chairperson: Juergen Klenk, Deloitte Consulting | ||
Session 4: Industry Panel on Image De-Identification Chairperson: Juergen Klenk, PhD, Deloitte Consulting | ||||
Juergen Klenk, PhD | Introductory Remarks to the Industry Panel | |||
Bob Lou, MD, Google | Medical imaging de-identification on both images and text using AI models | |||
Lawrence (Tony) O’Sullivan, MS, IBIS | Optimizing and Automating Radiology Data De-identification Workflows | |||
Dan Marcus, PhD, Flywheel | The Flywheel Platform for Intelligent Image Anonymization | |||
Jiri Dobes, PhD, John Snow Labs | Automated Medical Data De-Identification and Obfuscation | |||
Abraham Gutman, MS, AG Mednet, Inc. | Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraints | |||
Day 2 | David Clunie | Welcome & Recap | ||
Session 5: Pathology Whole Slide Image De-Identification | ||||
Adam Taylor, PhDChairperson: Adam Taylor, Sage Bionetworks | Pathology Whole Slide Image De-Identification | Adam | ||
Tom Bisson, PhD, Charité Universitätsmedizin Berlin | Anonymization of Whole Slide Images in in Histopathology for Research and Education | |||
David Gutman, MD, PhD, Emory University | Image DePHI and the DSA: Open Source tools for Histology Image DeIdentification | |||
Session 6: De-Facing | De-Facing | |||
Chairperson: Ying Xiao,PhD, Hospital of the University of Pennsylvania | De-Facing | Ying Xiao | Medical Image De-Facing and Clinical Research Data Sharing | |
Christopher Schwarz, PhD, Mayo Clinic | Face Recognition and De-Identification of Research Brain Images with mri_reface | |||
Douglas Greve, PhD, MGH/Harvard | MIDEFACE: Minimally Invasive Defacing | |||
Session 7: | Chairperson: Judy Gichoya, Emory University | The Role of AI in Image De-Identification | ||
Judy Gichoya, MD, Emory University | ||||
George Shih, MD, Weill Cornell Medical College | Pixel De-Identification Using AI | |||
Adrienne Kline, MD, PhD, Northwestern University | PyLogik: An open-source resource for medical image de-identification | |||
Session 8: | Chairperson: Keyvan Farahani | NCI MIDI Datasets and Pipeline | ||
Keyvan Farahani, PhD | The Medical Image De-Identification Initiative (MIDI) | |||
Fred Prior, PhD | Synthetic Data for De-Identification Testing - The MIDI Datasets | |||
Ben Kopchick, PhD, Deloitte Consulting | Building a cloud-based MIDI pipeline |