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Page History
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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 | ||
| 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 | |
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 | ||
| Session 5: Pathology Whole Slide Image De-Identification | ||
| Adam Taylor, PhD, Sage Bionetworks | Pathology Whole Slide Image De-Identification | |
| 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 | |
| Ying Xiao,PhD, Hospital of the University of Pennsylvania | 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: 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: 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 |
