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