Scientific publications
A series of scientific papers published for sharing VASCUL-AID's original work with the scientific community all over the world.
Click on the access link to read more about the publications from the project.
| No | Authors | Title | Journal | Year | Access link |
| 1. | Alblas, D. et al. | SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. | Medical Image Analysis | 2025 | Read more |
| 2. | Lotte Rijken et al. | Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol | Journal of Endovascular Therapy | 2024 | DOI: 10.1177/15266028251313963/ ID: JEVT-24-0407.R1 |
| 3. | Venkat Ayyalasomayajula et al. | Enchancing clinical decision making in AAA diagnosis and treatment with AI: How can it help with prediction of AAA growth, endoleaks, and spinal cord ischemia. | Italian Society of Vascular and Endovascular Surgery | 2024 | |
| 4. | Sabrina Zwetsloot et al. | International Consensus on Core Outcomes in Vascular Surgery: A Delphi Study Protocol | SSRN | 2024 | Read more |
| 5. | Rygiel, P., Alblas, D. et al | AAA-100: A Curated Dataset of 3D Watertight Abdominal Aortic Aneurysm Models | | 2024 | Read more |
| 6. | Rygiel, P. et al. | Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation. | arXiv preprint | 2024 | Read more |
Conference presentations
A list of scientific conferences and events attended by the VASCUL-AID's researchers for sharing with the scientific community the results achieved within the project.
| No | Presenter | Title | Conference | Year | Location | Access to slides |
| 1. | Kak Khee Yeung | The VASCUL-AID platform: using AI to predict cardiovascular disease progression in AAA and PAD patients | Paris Vascular Insights | 2024 | Paris | |
| 2. | Kak Khee Yeung | The VASCUL-AID platform: using AI to predict cardiovascular disease progression in AAA and PAD patients | VEITH Symposium | 2024 | New York | |
| 3. | Kak Khee Yeung | The VASCUL-AID platform: using AI to predict cardiovascular disease progression in AAA and PAD patients | ESVS | 2024 | Krakow | |
| 4. | Lotte Rijken | Artificial Intelligence for Prediction of Abdominal Aortic Aneurysm Status Using Multimodal Patient Data in the VASCUL-AID-RETRO-AAA Study | CLINICCAI | 2024 | Marrakkesh | |
| 5. | Kak Khee Yeung | The VASCUL-AID platform: using AI to predict cardiovascular disease progression in AAA and PAD patients | IMAD | 2024 | Liége | |
Git-hub repositories
List of github repositories resulting from VASCUL-AID
