Discover the most recent accomplishments and resources from the ODELIA project as we continue to push the boundaries of cancer diagnostics and treatment.
Dive into our latest scientific publications, where our team of experts share cutting-edge research and findings that are shaping the future of cancer care.
Browse through our comprehensive public deliverables and reports to stay up-to-date with the project’s progress and learn about the milestones we have achieved.
Finally, take advantage of our innovative online tools, developed to provide researchers, clinicians, and innovators with access to invaluable data and insights, ultimately driving transformative advancements in cancer diagnostics and treatment.
| Title | Author(s) | Journal | Date | DOI |
|---|---|---|---|---|
| Denoising diffusion probabilistic models for 3D medical image generation | F. Khader et al. | Scientific Reports | 5 May 2023 | https://doi.org/10.1038/s41598-023-34341-2 |
| Large language models streamline automated machine learning for clinical studies | S. T. Arasteh et al. | Nature Communications | 21 Feb 2024 | https://doi.org/10.1038/s41467-024-45879-8 |
| Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging | O. L. Saldanha et al. | Communications Medicine | 6 February 2025 | https://doi.org/10.1038/s43856-024-00722-5 |
| Title | Author(s) | Date | Access |
|---|---|---|---|
| D7.3 Project Video | EIBIR | 22/12/2023 | DOWNLOAD |
| D2.7 Midterm recruitment report | CAM | 22/12/2023 | DOWNLOAD |
| D1.4 Instructions on training AI models with SL in a tangible demonstration | TUD | 11/12/2023 | DOWNLOAD |
| D1.3 Manual on setting up SL onsite | TUD | 21/9/2023 | DOWNLOAD |
| D1.2 Guidance document on running SL in clinical environments | TUD | 21/9/2023 | DOWNLOAD |
| D7.1 Communication kit including website | EIBIR | 28/4/2023 | DOWNLOAD |
| D1.1 Setting up SL capable compute infrastructure | TUD | 28/4/2023 | DOWNLOAD |
| D2.6 Study Initiation Package | UKA | 31/1/2023 | DOWNLOAD |
| D2.1 Report comparing the performance of locally trained models against swarm-trained models in breast cancer screening | CAM | 19/12/2024 | DOWNLOAD |
| D2.2 Trained neural networks for detection of breast cancer in MRI images (including models trained on local data only and models trained in the swarm) | UKA | 19/12/2024 | DOWNLOAD |
| Name | Descriptions | Date | Access |
|---|---|---|---|
| Swarm Learning Documentation Website | Technical instructions how to set up and reuse the Odelia technical platform for other use cases | 20/10/2023 | odelia-ai.github.io |
| ODELIA Flyer | Flyer about the ODELIA project | 21/2/2023 | DOWNLOAD |
| Press Release | Press release announcing the start of the ODELIA project | 3/2/2023 | DOWNLOAD |
| ODELIA Logo | Project logo | 31/1/2023 | DOWNLOAD |
