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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.
Some documents on this page are not Section 508 compliant. To receive a compliant document, please email NCI CBIIT MIDI Group.
| Speaker | Presentation Title | Slides | ||
|---|---|---|---|---|
| Day 1 | ||||
| Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute, National Institutes of Health | Welcome & Introductionhttps://docs.google.com/presentation/d/1vZQDBSNhBAZFPtJwOUE_i6NgOu6IL1ZMmIWZPaCctLA/edit?usp=sharing | |||
| Session 1: Report of the MIDI Task Group - Best Practices and Recommendations | ||||
| David Clunie, MBBS, PixelMed | Report of the MIDI Task Group | https://docs.google.com/presentation/d/1pccphYb-y-uHDgicrlXZxseKMxpKNTxE51pC3ChtewA/edit | ||
Session 2: Tools for Conventional Approaches to De-Identification Chairperson, Fred Prior, PhD | ||||
| Fred Prior, PhDFred Prior | Setting the StageEmailed | file | ||
| Michael Rutherford, MS, University of Arkansas for Medical Sciences | The Tools of TCIA: Standardizing Zero-Tolerance De-identification | Emailed file | ||
| Stephen Moore, MS, Washington University School of Medicine in St. Louis | XNAT Platform: Image De-identificationhttps://docs.google.com/presentation/d/1roHkw48PbtV8n1agwPqtp0bBIingypxF-VNyYjI45Ss/edit?usp=sharing | |||
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 | https://www.icloud.com/keynote/001sv_DNMidQcXVnlQaAvsnmw#NIH_MIDI_SessionParker 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 | Emailed file | ||
| Bob Lou, MD, Google | Medical imaging de-identification on both images and text using AI models | https://docs.google.com/presentation/d/12TnPrlyAxNYvWbFv7y3KXZynQBHG2N5QPehQ5ah7RmY/edit#slide=id.g839f2df6fc_2_102 Also emailed file | ||
| Lawrence (Tony) O’Sullivan, MS, IBIS | Optimizing and Automating Radiology Data De-identification Workflows | https://docsend.com/view/234ee2vubhyg7eyy | ||
| Dan Marcus, PhD, Flywheel | The Flywheel Platform for Intelligent Image Anonymization | https://docs.google.com/presentation/d/1kMd6w4w8Au3o4XjEF49y-aceg-ssTS0HKH-bsu5rZzI/edit?usp=sharing | ||
| Jiri Dobes, PhD, John Snow Labs | Automated Medical Data De-Identification and Obfuscation | https://johnsnowlabs-my.sharepoint.com/:p:/p/jiri/EdbJq7F3wB9Lhgf6B8QH_V8BFqmuqqGVNN3NJq5XgvX9Dg?e=20s6j2 | ||
| Abraham Gutman, MS, AG Mednet, Inc. | Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraintshttps://www.dropbox.com/s/3wa8jbrzhj6pu2s/AG%20De-ID%20Panel.pptx?dl=0 | |||
| 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 |
